296 Knime Jobs - Page 6

Location: IN_Gurgaon_Bldg # 10 DLF Cyber City_HCS Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(B) Job ID: R-40836-2024 Description & Requirements Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About the Role You will be responsible for driving the strategic direction of our AI and machine learning practice along with other key leaders. This role will involve leading internal AI/ML projects, shaping the technology roadmap, and overseeing client-facing projects including solution development, RFPs, presentations, analyst interactions, partnership development etc. The ideal candidate will have a strong technical background in AI/ML, exceptional leadership skills, and the ability to balance internal and external project demands effectively. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes. What You Will Do Drive Innovation, Differentiation & Growth Develop and implement a comprehensive AI/ML strategy aligned with our business goals and objectives. Ownership on growth of the COE and influencing client revenues through AI practice Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments and functions. Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure. Oversee the design, development, and deployment of AI/ML solutions Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around AI/ML Network with domain experts Develop and implement ethical AI practices and governance standards. Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes. Oversee the development, training, and deployment of AI/ML models and solutions. Collaborate with client teams to understand their business challenges and needs. Develop and propose AI/ML solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders. Build re-usable Methodologies, Pipelines & Models Create data pipelines for more efficient and repeatable data science projects Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc. Experience with popular databases including SQL, MongoDB and Cassandra Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc. Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc. Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc. People & Interpersonal Skills Build and manage a high-performing team of AI/ML engineers, data scientists, and other specialists. Foster a culture of innovation and collaboration within the AI/ML team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the AI/ML team Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals Communicate and present the AI/ML capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the AI/ML domain What You Need 12+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up an AI/ML practice in IT services or niche AI/ML organizations 10+ years of relevant experience in successfully launching, planning, and executing advanced data science projects. A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required. The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines. Candidate should have demonstrated the ability to manage data science projects and diverse teams. Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint. Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as inorganically What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Financial Analyst WHAT MAKES US, Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US The Financial Data Operator is responsible to perform the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible for answering client questions and conduct all necessary data analyses of financial instruments data to resolve service delivery incidents to continue service delivery. The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks. Eventually, this role also requires demonstrating very client-focused mindset, substantial know- how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. WHAT YOU WILL BE RESPONSIBLE FOR Performs all daily service deliverables in terms of collecting, composing, controlling, and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance Perform all necessary tasks to comply existing operational risk frameworks (e.g., Sarbanes– Oxley Act (SOX), Risk and Control Engine (RACE) etc.) Efficiently support and contribute to continuous improvement of operational processes (with predominant focus on manual processes, high-risk areas), data quality checks and system functionalit Work with local/regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope Experience working cross-organizationally with both Business and Technology groups. Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation, or other open topics to avoid know-how silos/gaps and assure service level consistency Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation Maintain documentation in terms of business processes, functional descriptions, operational runbooks, or other manuals to ensure information transparency and enable know-how transfers WHAT WE VALUE For the Financial Analyst position, we value MUST HAVE: Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 5+ years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor’s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 year GOOD TO HAVE: Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA with scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL BENEFITS Competitive salary, bonus scheme, and pension are essential for any work agreement. However, at SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an excellent work-life balance: flexible work hours, a hybrid workplace model. On top of that, we have IP sprints; where you have 3 weeks per quarter to spend on mastering your skills as well as contributing to the company development. There is never just only one route - we practice an individual approach to professional development to support the direction you want to take. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com), If you are interested in being a part of Simcorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general. Simcorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients. Simcorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. #Li-Hybrid

About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. We are a onestop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthee’s holistic and tool agnostic approach is unique in the marketplace. Our Consulting Value Chain framework meets our customers where they are in their data journey. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position Summary: We are looking for Analytics Lead to join our growing team of data analytics experts to support and implement high-quality, data-driven decisions. We are looking for candidates who are skilled and hands-on with solving the most difficult technical aspects of data and analytics projects. This is a client-facing role, and we are looking for candidates who are comfortable working independently, as a team lead and client engagement managers at the same time. The Analytics Consultant at Saarthee will work closely with the Founders and the leaders across the Onsite and Offsite teams. The Analytic Lead will lead essential analysis across multiple functions and solve a broad range of critical and complex problems. The ideal candidate will be data-driven, analytical, detail oriented, an effective communicator and highly collaborative. Responsibilities and Duties: Lead the client engagement independently with the help of team across globe content support for new opportunities, creating toolkits, and ensuring client success. Engage with clients to identify opportunities to institutionalized analytics across client organizations. Utilize project management tools like Microsoft Project to ensure regular client update meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution and success metrics effectively and efficiently. Proactively identify potential issues and drive resolution to avoid customer impact and facilitate continuous improvement. Lead by example in analytics delivery and guide the team in data synthesis, modeling techniques and culling out actionable insights, implications, and recommendations to address clients- business KPIs and/or identify opportunities. Assist with ramp up activities including selection/evaluation of analyst and project allocation and align ramp-up plan to current and future projects. Closely liaise with Internal partner team and provide regular updates on project delivery covering aspects such as quality, timelines, risk, and issue Management. Design the analytics and reporting platform. Define the architecture of the platform and recommend database software, ETL tool, analytics tool and visualization tool to be used. Provide consultation and guidance regarding the implementation of analytics driven business strategies including advance statistics and machine learning problems. Lead a team of consultants and encourage to develop new capabilities through learning and development and knowledge sharing initiatives. Skills: 5+ years’ experience in data/analytics/project management roles Superior communication and interpersonal skills Superior Critical Thinking, Problem Solving, Open-ended Problem-Solving. Experience with running Pilot Projects an added must Expertise in SQL, Tableau, Python or other ETL tools (Knime will be a plus) Ability to manage multiple moving projects. Compensation: Above industry standards What we offer: Competitive compensation packages that reward high performance Fast track career with supportive culture that facilitates 360 degrees learning Collaborative team-based environment with mentorship from the Industry leaders Comprehensive benefit package including Health Insurance Empathetic Result-Driven Work Culture Show more Show less

Company Description Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Database Engineer/Developer will involve designing, developing, and maintaining a robust and secure database infrastructure to efficiently manage company data. They collaborate with cross-functional teams to understand data requirements and migrate data from spreadsheets or other sources to relational databases or cloud-based solutions like Google BigQuery and AWS. They develop import workflows and scripts to automate data import processes, optimize database performance, ensure data integrity, and implement data security measures. Their creativity in problem-solving and continuous learning mindset contribute to improving data engineering processes. Proficiency in SQL, database design principles, and familiarity with Python programming are key qualifications for this role. Responsibilities Job Description Design, develop, and maintain the database infrastructure to store and manage company data efficiently and securely. Work with databases of varying scales, including small-scale databases, and databases involving big data processing. Work on data security and compliance, by implementing access controls, encryption, and compliance standards. Collaborate with cross-functional teams to understand data requirements and support the design of the database architecture. Migrate data from spreadsheets or other sources to a relational database system (e.g., PostgreSQL, MySQL) or cloud-based solutions like Google BigQuery. Develop import workflows and scripts to automate the data import process and ensure data accuracy and consistency. Optimize database performance by analyzing query execution plans, implementing indexing strategies, and improving data retrieval and storage mechanisms. Work with the team to ensure data integrity and enforce data quality standards, including data validation rules, constraints, and referential integrity. Monitor database health and identify and resolve issues. Collaborate with the full-stack web developer in the team to support the implementation of efficient data access and retrieval mechanisms. Implement data security measures to protect sensitive information and comply with relevant regulations. Demonstrate creativity in problem-solving and contribute ideas for improving data engineering processes and workflows. Embrace a learning mindset, staying updated with emerging database technologies, tools, and best practices. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Familiarize yourself with tools and technologies used in the team's workflow, such as Knime for data integration and analysis. Use Python for tasks such as data manipulation, automation, and scripting. Collaborate with the Data Research Engineer to estimate development efforts and meet project deadlines. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Perform tasks with precision and build reliable systems. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Information Systems, or a related field is desirable but not essential. Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift) to support advanced analytics and reporting, aligning with the team’s data presentation goals. Skills in working with APIs for data ingestion or connecting third-party systems, which could streamline data acquisition processes. Proficiency with tools like Prometheus, Grafana, or ELK Stack for real-time database monitoring and health checks beyond basic troubleshooting. Familiarity with continuous integration/continuous deployment (CI/CD) tools (e.g., Jenkins, GitHub Actions). Deeper expertise in cloud platforms (e.g., AWS Lambda, GCP Dataflow) for serverless data processing or orchestration. Knowledge of database development and administration concepts, especially with relational databases like PostgreSQL and MySQL. Knowledge of Python programming, including data manipulation, automation, and object-oriented programming (OOP), with experience in modules such as Pandas, SQLAlchemy, gspread, PyDrive, and PySpark. Knowledge of SQL and understanding of database design principles, normalization, and indexing. Knowledge of data migration, ETL (Extract, Transform, Load) processes, or integrating data from various sources. Knowledge of cloud-based databases, such as AWS RDS and Google BigQuery. Eagerness to develop import workflows and scripts to automate data import processes. Knowledge of data security best practices, including access controls, encryption, and compliance standards. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Strong willingness to learn and expand knowledge in data engineering. Familiarity with Agile development methodologies is a plus. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Ability to work collaboratively in a team environment. Good and effective communication skills. Comfortable with autonomy and ability to work independently. Qualifications 5+ Years exp in Database Engineering. Additional Information Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves Show more Show less

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team A Merchandising Analyst plays a pivotal role in driving the performance of product assortments by leveraging data to optimize strategies. They are responsible for analyzing key trends across sales, margins, inventory, turnover, and other critical KPIs. By incorporating macroeconomic factors and leveraging forecasted expectations, they develop effective strategies to maximize revenue and margins, optimize inventory levels, and ensure customer needs are met efficiently. The ideal candidate should possess strong technical expertise, enabling them to conduct root cause analyses, A/B testing, hypothesis testing, and regression analysis. Their insights should translate into actionable recommendations that drive business results. Additionally, they are expected to collaborate with cross-functional teams to integrate metrics beyond merchandising and engage stakeholders to understand and address their specific requirements effectively. Job Summary The primary purpose of this role is to perform mathematical and statistical analysis or model building as appropriate. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role provides assistance in supporting one functional area of the business in partnership with other team members. At times, this role may work directly with the business function, but the majority of time is spent working with internal team members to identify and understand business needs. Roles & Responsibilities Core Responsibilities: Conduct in-depth analysis of business trends, financial performance, and market conditions. Develop and maintain data models, dashboards, and reports to support business decisions. Identify opportunities for operational improvements and recommend strategic solutions. Collaborate with cross-functional teams to translate data insights into actionable strategies. Ensure data accuracy, integrity, and security while handling large datasets. Present findings and recommendations to leadership in a clear and concise manner Years Of Experience 1 to 3 yrs of experience data analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business administration, computer science, computer information systems (CIS), engineering, or related field (or equivalent work experience in lieu of degree) Skill Set Required Experience using basic analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster Experience using visualization tools such as Power BI, Tableau Secondary Skills (desired) Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) Experience working with big, unstructured data in a retail environment Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny Programming experience using tools such as R, Python Data Science experience using tools such as ML, Text mining Knowledge of SQL Project management experience Experience in home improvement retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

Let’s be #BrilliantTogether ISS STOXX is actively hiring for Lead Data Quality Analyst to join our QBIT Team (Quality Assurance Benchmarking and Independent Testing) in Mumbai ( Goregaon East), India. Overview The Data Quality team independently verifies the accuracy of various models, data solutions, data processes, and business logic related to corporate governance and responsible investing. This includes developing prototypes, devising test cases, conducting production code reviews, and documenting results. The role involves designing, planning, executing, and supporting automated verification, software deployment, and release management. This techno-functional position blends the domains of ESG (Environmental, Social, and Governance) risk with advanced data technology and analysis, requiring proficiency in SQL and R/Python, among other tools. Responsibilities Test Framework Development: Develop prototypes of models, data processes, and business logic for corporate governance and ESG responsible investing products. Design and implement frameworks using Python/R and SQL to verify the accuracy and efficiency of analytical solutions. If applicable, create UIs using Streamlit or other such tools for test framework and containerize those apps on Windows or Linux VMs using Docker or equivalent tools. Data Profiling & Visualization Conduct data profiling and quality analysis to identify trends and issues. Utilize visualization tools like Power BI for defect analysis and insights. API Testing & Validation Perform API sanity checks and validations using tools like Postman. Work with various API endpoints (XML, JSON, GraphQL) to ensure seamless data flow and integration. Project Support & Collaboration Review product release artifacts, assist with deployments, and collaborate with Application Management teams. Assess data-oriented product testing scope, define timelines, and develop execution roadmaps. Automation & Advanced Analytics Explore low-code libraries (e.g., Great Expectations, Sweetviz, Pandera) for automated data profiling. Leverage no-code tools like KNIME for effective data analytics. Familiarized with LLMs and machine learning techniques for data-driven automation initiatives wherever applicable (not mandatory but a plus) Qualifications Educational Background: Bachelor’s or Master’s degree in Engineering, Information Science, or a related field, with strong hands-on experience in data manipulation, analysis, and programming using Python or R. Experience: 7–9 years of experience in a data-driven role, with proven expertise in analytical programming, data wrangling, and data analysis. Financial Knowledge: An MBA (Finance), CFA Level 1/2, or CIPM certification is a significant plus. Knowledge in Corporate Governance and ESG is desirable. Detail-Oriented & Communicative: Exceptional attention to detail and strong communication skills, with the ability to collaborate effectively with global teams, ensuring alignment on project goals and deliverables. Self-Starter: A proactive mindset with the ability to work independently, adapt quickly to new challenges, and thrive in a fast-paced and evolving environment. Analytical Acumen: The ability to transform data into actionable insights by identifying patterns, trends, relationships, and clusters within datasets. #MIDSENIOR #STOXX What You Can Expect From Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let’s empower, collaborate, and inspire. Let’s be #BrilliantTogether. About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. Visit our website: https://www.issgovernance.com View additional open roles: https://www.issgovernance.com/join-the-iss-team/ Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Show more Show less

Job Description It is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. Summary Database Engineer/ Developer - Core Skills Proficiency in SQL and relational database management systems like PostgreSQL or MySQL, along with database design principles. Strong familiarity with Python for scripting and data manipulation tasks, with additional knowledge of Python OOP being advantageous. A good understanding of data security measures and compliance is also required. Demonstrated problem-solving skills with a focus on optimizing database performance and automating data import processes, and knowledge of cloud-based databases like AWS RDS and Google BigQuery. Min 5 years of experience. JD Database Engineer - Data Research Engineering Position Overview At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Research Engineering Team is a brand new team with the purpose of managing data from acquisition to presentation, collaborating with other teams while also operating independently. Their responsibilities include acquiring and integrating data, processing and transforming it, managing databases, ensuring data quality, visualizing data, automating processes, working with relevant technologies, and ensuring data governance and compliance. They play a crucial role in enabling data-driven decision-making and meeting the organization's data needs. A typical day in the life of a Database Engineer/Developer will involve designing, developing, and maintaining a robust and secure database infrastructure to efficiently manage company data. They collaborate with cross-functional teams to understand data requirements and migrate data from spreadsheets or other sources to relational databases or cloud-based solutions like Google BigQuery and AWS. They develop import workflows and scripts to automate data import processes, optimize database performance, ensure data integrity, and implement data security measures. Their creativity in problem-solving and continuous learning mindset contribute to improving data engineering processes. Proficiency in SQL, database design principles, and familiarity with Python programming are key qualifications for this role. Responsibilities Design, develop, and maintain the database infrastructure to store and manage company data efficiently and securely. Work with databases of varying scales, including small-scale databases, and databases involving big data processing. Work on data security and compliance, by implementing access controls, encryption, and compliance standards. Collaborate with cross-functional teams to understand data requirements and support the design of the database architecture. Migrate data from spreadsheets or other sources to a relational database system (e.g., PostgreSQL, MySQL) or cloud-based solutions like Google BigQuery. Develop import workflows and scripts to automate the data import process and ensure data accuracy and consistency. Optimize database performance by analyzing query execution plans, implementing indexing strategies, and improving data retrieval and storage mechanisms. Work with the team to ensure data integrity and enforce data quality standards, including data validation rules, constraints, and referential integrity. Monitor database health and identify and resolve issues. Collaborate with the full-stack web developer in the team to support the implementation of efficient data access and retrieval mechanisms. Implement data security measures to protect sensitive information and comply with relevant regulations. Demonstrate creativity in problem-solving and contribute ideas for improving data engineering processes and workflows. Embrace a learning mindset, staying updated with emerging database technologies, tools, and best practices. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Familiarize yourself with tools and technologies used in the team's workflow, such as Knime for data integration and analysis. Use Python for tasks such as data manipulation, automation, and scripting. Collaborate with the Data Research Engineer to estimate development efforts and meet project deadlines. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Perform tasks with precision and build reliable systems. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Information Systems, or a related field is desirable but not essential. Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift) to support advanced analytics and reporting, aligning with the team’s data presentation goals. Skills in working with APIs for data ingestion or connecting third-party systems, which could streamline data acquisition processes. Proficiency with tools like Prometheus, Grafana, or ELK Stack for real-time database monitoring and health checks beyond basic troubleshooting. Familiarity with continuous integration/continuous deployment (CI/CD) tools (e.g., Jenkins, GitHub Actions). Deeper expertise in cloud platforms (e.g., AWS Lambda, GCP Dataflow) for serverless data processing or orchestration. Knowledge of database development and administration concepts, especially with relational databases like PostgreSQL and MySQL. Knowledge of Python programming, including data manipulation, automation, and object-oriented programming (OOP), with experience in modules such as Pandas, SQLAlchemy, gspread, PyDrive, and PySpark. Knowledge of SQL and understanding of database design principles, normalization, and indexing. Knowledge of data migration, ETL (Extract, Transform, Load) processes, or integrating data from various sources. Knowledge of cloud-based databases, such as AWS RDS and Google BigQuery. Eagerness to develop import workflows and scripts to automate data import processes. Knowledge of data security best practices, including access controls, encryption, and compliance standards. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Strong willingness to learn and expand knowledge in data engineering. Familiarity with Agile development methodologies is a plus. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Ability to work collaboratively in a team environment. Good and effective communication skills. Comfortable with autonomy and ability to work independently. Show more Show less

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you! Show more Show less

Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualizations, and performing predictive and prescriptive analytics approaches to drive actionable insights for the North American market. Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, R SI, Retail Lin,k etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting, Good Knowledge of Predictive Analytics, Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data by the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) company Good analytical skills - excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python ,R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization,and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder management Ability to provide new ways of approaching situations and developing new, efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities, and plan Show more Show less

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 5x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM phData provides end-to-end services for data engineering, machine learning, and data analytics. Our services and software are used by the world's largest companies to solve their most challenging data problems. We enjoy the work we do and it's reflected in high-quality solutions that provide value to our clients and our communities. Joining the team at phData means giving yourself the opportunity to do your most exciting work. Our work is challenging and our standards are high, but we invest heavily in our employees, starting with training and bootcamp to ensure your success. Plus, you’ll get to work with the brightest minds in the industry and the best in class platforms on the market. And, because the data and ML industry is changing rapidly, you will always have the opportunity to learn - whether that’s a new technology, diving deeper into your preferred stack, or picking up an entirely new skill set. Our consulting services emphasize analytics enablement, data visualization, data preparation, and data science. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. Our award winning workplace fosters learning, creativity, teamwork and diversity. Awards & Recognition: Best Places to Work (2017, 2018, 2019, 2020, 2021, 2022) Inc. 5000 Fastest Growing US Companies (2019, 2020, 2021, 2022) Tableau Premier Services Partner Microsoft PowerBI Gold Partner Alteryx Premier Partner We’re looking for a talented Analytics Consultant, with an emphasis on Power BI Server Administration, able to help our customers gain tangible value from their data platforms. Gather requirements, pain points, and service from clients on their current Tableau Server environment Provide solutions and recommendations for optimizing their use of Tableau Server and/or Tableau Cloud (Tableau Online) Deliver on project-based consulting engagements; help clients deploy, manage, govern, and tune their Tableau Server environments Manage clients expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions Partner with sales team to identify additional sales opportunities within a client; assist with account growth and expansion Overview We are seeking qualified Sr. DevOps engineer, with Power BI as primary and Tableau Server Administration as a secondary skill to help deliver our Elastic Operations service from our Managed Services team in Bangalore, India, as we continue our rapid growth with an expansion of our Indian subsidiary, phData Solutions Private Limited. This expansion comes at the right time with increasing customer demand for data and platform solutions. In addition to the phenomenal growth and learning opportunities, we offer a competitive compensation plan, including base salary, annual bonus, training, and certifications. As a Senior DevOps Engineer on our Consulting Team, you will be responsible for technical delivery for technology projects related to Power BI, and Tableau, and services hosted in the cloud. Responsibilities: Administer and manage PowerBI Service, including gateways, workspaces, security, data refreshes, etc. Troubleshoot issues related to refresh failures, broken datasets, access requests or slow reports. Expertise in Power BI desktop, publishing the reports, and troubleshooting the issues. Provide recommendations for optimising the performance of datasets and visuals. Document best practices and develop user onboarding and training materials. Integrate Power BI with Microsoft Teams, Sharepoint, Power Automate, and DevOps pipelines. Manage BI report subscriptions, alerts, and dashboard embedding. Gather requirements, pain points, and service from clients on their current Tableau Server environment Provide solutions and recommendations for optimizing their use of Tableau Server and/or Tableau Cloud (Tableau Online) Deliver on project-based consulting engagements; help clients deploy, manage, govern, and tune their Tableau Server environments. Manage clients expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions Required Experience: 4+ years of relevant experience administering, configuring, and developing in Power BI and Tableau Server Experience coordinating infrastructure in cloud-based environments such as AWS and/or Azure Ability to provide configuration, infrastructure, and performance tuning recommendations Experience with PowerShell scripts, bash scripting, command line and Power BI REST API for administrative automation. Experience with TSM commands for maintenance and upkeep procedures in Tableau Server Exceptional customer facing skills, including but not limited to communication skills and project management skills Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures Preferred Experience: Power BI certification (PL-300 / PL- 900/ DA-100) is strongly preferred Tableau server admin associate or Architect is preferred Experience with enterprise data governance and compliance frameworks and best practices for managing Power BI and Tableau Server, plus if on cloud IaaS (AWS/Azure) Cloud infrastructure experience Experience in Tableau Cloud (Tableau Online) Experience with both Windows and Linux deployments of Tableau Server Experience with deploying automation pipelines Plus if interested in learning server environments for Alteryx, and KNIME Perks and Benefits: Medical Insurance for Self & Family Medical Insurance for Parents Term Life & Personal Accident Wellness Allowance Broadband Reimbursement Professional Development Allowance Reimbursement of Skill Upgrade Certifications Certification Reimbursement phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations. Show more Show less

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Preferred Knowledge/Skills Assist in collecting, cleaning, and processing data from various sources to support business objectives. Conduct exploratory data analysis to identify trends, patterns, and insights that drive strategic decision-making. Collaborate with team members to design and implement data models and visualizations using tools such as Excel, SQL, Python or Power Bi. Support the preparation of reports and presentations that communicate findings and insights to stakeholders in a clear and concise manner. Participate in the development and maintenance of documentation and data dictionaries to ensure data integrity and governance. Work with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay updated with industry trends and best practices in data analytics and contribute ideas for continuous improvement. Good To Have Experience in a similar role in their current profile. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Familiarity with data analysis tools and programming languages (e.g., Excel, SQL, Python, Databricks). Basic understanding of Power BI data visualization techniques and tools Strong analytical and problem-solving skills with attention to detail. Education Bachelor’s degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. More than 1 year of experience in data analytics, data science, or a related role. Excellent verbal and written communication skills. Ability to work collaboratively in a team environment and manage multiple tasks efficiently. Eagerness to learn and adapt to new technologies and methodologies. CPA or equivalent certification Show more Show less

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Requirements Preferred Knowledge/Skills: Assist in collecting, cleaning, and processing data from various sources to support business objectives. Conduct exploratory data analysis to identify trends, patterns, and insights that drive strategic decision-making. Collaborate with team members to design and implement data models and visualizations using tools such as Excel, SQL, Python or Power Bi. Support the preparation of reports and presentations that communicate findings and insights to stakeholders in a clear and concise manner. Participate in the development and maintenance of documentation and data dictionaries to ensure data integrity and governance. Work with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay updated with industry trends and best practices in data analytics and contribute ideas for continuous improvement. Good To Have Experience in a similar role in their current profile. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Familiarity with data analysis tools and programming languages (e.g., Excel, SQL, Python, Databricks). Basic understanding of Power BI data visualization techniques and tools Strong analytical and problem-solving skills with attention to detail. Education Bachelor’s degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. More than 1 year of experience in data analytics, data science, or a related role. Excellent verbal and written communication skills. Ability to work collaboratively in a team environment and manage multiple tasks efficiently. Eagerness to learn and adapt to new technologies and methodologies. CPA or equivalent certification Show more Show less

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Requirements Preferred Knowledge/Skills: Assist in collecting, cleaning, and processing data from various sources to support business objectives. Conduct exploratory data analysis to identify trends, patterns, and insights that drive strategic decision-making. Collaborate with team members to design and implement data models and visualizations using tools such as Excel, SQL, Python or Power Bi. Support the preparation of reports and presentations that communicate findings and insights to stakeholders in a clear and concise manner. Participate in the development and maintenance of documentation and data dictionaries to ensure data integrity and governance. Work with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay updated with industry trends and best practices in data analytics and contribute ideas for continuous improvement. Good To Have Experience in a similar role in their current profile. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Familiarity with data analysis tools and programming languages (e.g., Excel, SQL, Python, Databricks). Basic understanding of Power BI data visualization techniques and tools Strong analytical and problem-solving skills with attention to detail. Education Bachelor’s degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. More than 1 year of experience in data analytics, data science, or a related role. Excellent verbal and written communication skills. Ability to work collaboratively in a team environment and manage multiple tasks efficiently. Eagerness to learn and adapt to new technologies and methodologies. CPA or equivalent certification Show more Show less

Job Purpose: An excellent opportunity for individuals seeking a career within Citigroup and more specifically within the Global Expense FP&A (Financial Planning and Analytics) division. The purpose of the role will be to perform key activities (as described below) supporting FPA& teams, across all products and functions globally. The goal is to closely review and challenge the Markets business financials across various sub products on ongoing basis and provide analytical insights on expenses leveraging the Citi data. Job Background/Context: Markets FP&A team drives a digital agenda by creating solutions to support quick & efficient decision making for FP&A management. Development Value: Opportunity to join one of the leading financial Institutions in the world which prides itself on people development and mobility. Build a career within the FP&A Division and gain a holistic and deep knowledge and understanding of Finance, Businesses/Products and Digital tools. Diverse and varied work coverage across Businesses and Functions, which will require to collaborate with people at all levels from different areas of the organization. Opportunity to work in a global team. Qualifications Knowledge/Experience: Good analytical acumen with 0-2 years prior work experience. Experience in financial services and/or Banking industry preferred. Knowledge of financial, analytical, and reporting tools with preferred experience working on digital transformation solutions and digitalization projects Experience of working with financial data with interest in business and economic environment. Understanding of Operating Expenses is a plus. Proficient with Microsoft Office applications, including Excel and PowerPoints skills. Preferred hands-on experience in data transformation, business analytics and visualization tools (e.g. Tableau, KNIME, Python, Power Query and similar). Demonstrated analytical skills Education: Excellent academic background with CA or Masters in Finance or Accounting related field Skills: Effective written and verbal communication skills. Effective interpersonal skills with ability to collaborate with colleagues at multiple levels and across multiple locations, with occasional exposure to senior management and executive audience. Analytical and problem-solving skills with attention to detail is an essential part of the job. Adaptability, multitasking, ability to learn and desire to develop and improve by challenging status quo. Ability to work in teams, cross-collaborating in projects and common key deliverables. Experience working with agile methodologies and project management is a plus. Proficiency in digital tools/skillset is preferred. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Key Responsibilities: Closely monitor, review and analyze the Markets expenses across various sub products and provide key insights to senior management for effective decision making Partner with Business FP&A teams and Controllers to obtain clarity on key variances and provide a story to Global Expense teams for review with seniors. Perform value-added analytics and extract actionable insights from the data to support decision-making and help drive Expense reduction/optimization opportunities. Identify and execute opportunities to enhance data/analytical capability and drive efficiency of the reporting processes. Navigate through data and multiple systems to drill-down to granular details behind operating expenses to understand main drivers and composition. Perform ad-hoc analyses and investigations on operating expenses as required by partners. Collaborate on projects that encompass multiple products globally. Collaborate extensively in standardizing, automating management reporting needs and drive value-added analytics for decision-making through: This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Finance ------------------------------------------------------ Job Family: Financial Planning & Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Budgeting, Business Acumen, Constructive Debate, Data Storytelling, Management Reporting, Problem Solving, Risk Management, Stakeholder Management. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Req ID: 324385 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & Analytics Consultant-Supply Chain to join our team in Bangalore, Karnātaka (IN-KA), India (IN). Title: Data & Analytics Consultant Job Description As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the world’s largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment. Responsibilities Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies. Specific Responsibilities Include Work closely with the project manager to gather, transform, analyze, summarize, and report client data Contribute to the design of the optimization model; build models according to specifications Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client Engage and collaborate with client teams to identify data issues, solution review & acceptance Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques Identify and communicate issues that may impact project schedule or quality Learn client industry & business challenges Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion Develop and maintain positive client relationships Refine problem solving & consulting skills Support marketing (blogs, success stories) & talent acquisition Qualifications The ideal candidate will: Hold a Bachelor’s or Master’s degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major; Have two or more years of experience in using quantitative methods to analyze supply chain decisions. Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred) Preferably have experience with LLamasoft Supply Chain Guru, ToolsGroup SO99+, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization Have experience of working with teams in multiple geographies and cultures Demonstrate strong analytical skills & critical thinking Possess excellent communication (written& verbal) and presentation skills Manage multiple tasks and priorities concurrently and work well under tight timelines Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles: Doer: Ability to successfully complete critical project deliverables adhering to project deadlines Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Role (Why position exists): Execute a variety of tasks visualization, munging, and processing of massive amounts of data for optimizing business performance, proper Space Planning to help achieve company goals such maximizing sales, profitability, and distribution. Primary Responsibilities: Responsible for organizing and analysing data from available data sources to support retail reporting, projects and new initiatives. Lead the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques. Overseeing all activities of the data analytics and data warehousing departments. Drives performance of analytics solutions to impact overall business results while keeping costs in check and ensuring the department remains within the planned budget. Responsible for the development of standard templates, scorecards, and benchmarking capability across all stores of all states. Responsible for providing support and proposes recommendations for improvements to tools and information used within retail analytics. Responsible for Proper Space planning, Fixture planning and execution of the same as per plan. Responsible for reviewing product level assortment at store. To ensure that right product reaches store on time. Responsible for reviewing POS information, generate sales reports and analysis, and complete detailed product set up forms. Responsible for setting the departmental vision and culture and championing for the use of data in making key business decisions. Responsible for performing data segmentation analysis to support promotional campaigns and program enhancements. Provide support for business unit by performing analysis of activities (on systems, products, processes, and/or procedures) to improve core functions, growth, and profitability. Endeavours to create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner. Plays a leading strategic role where he leads the data analytics and data warehousing departments in strategy development with regard to the collection, manipulation, and analysis of data for various business functions/departments such as marketing, sales, operations, among others. Will be in charge of driving the day-to-day analytical approaches and exploring solutions to problems. He is also tasked with the management and long-term prioritization of the business's overall analytical needs and opportunities. Collaborates with numerous departments across the business, aiding them in the proper use of data, hence, ensuring the delivery of desired operational results. Continually monitor current marketing trends, new technology solutions, and competitive strategies. Partner with key stakeholders to analyze, test, and launch new initiatives to increase product penetration. Use data to create models that depict trends in the customer base and the consumer population as a whole Drive initiatives to increase Fashion ticket size. Understand the feasibility of cross-channel recommendations/ plans. Run Data Science practice to enable all areas of Fashion business to look from customer’s lens viz Category, Retail, Marketing across channels. Leading Omnichannel initiative to transform the way customers shop at in-store or online. Identify key data points and measurements to show the impact of our approach and strategy on the client’s business. Education & professional skillset : Graduate in any stream with Master's Degree in Statistics / Business Analytics / Data Science / Retail Management. Desired experience: Ideal candidate should have at least fourteen years of proven experience as a senior data analyst with strong track record in in retail performance analysis, space and fixture planning, assortment optimization, and sales forecasting with exposure in in leading cross-functional analytics projects and developing dashboards and KPI frameworks with demonstrated ability to turn insights into strategic business actions in a fast-paced and complex business setting preferably with an apparel retail organization. Skills Power Queries, Power Pivot, DAX Data Processing:- ELT, EDA, Data Cleaning Data Modeling Forecasting Tools Advance Excel Power BI / Tableau SQL Alteryx / KNIME Desired functional & Behavioural competencies: • Leadership Ability to inspire, mentor, and guide teams toward achieving organizational goals Fostering a culture of collaboration and innovation. • Emotional Intelligence Empathy and interpersonal skills to manage team dynamics and stakeholder expectations. Conflict resolution and negotiation abilities. • Decision Making Data-driven approach to making informed and impactful decisions. Balancing short-term needs with long-term strategies. Compensation - Depends on experience, current CTC and alignment with the best market standards. If you see yourself reflected in this position description, let's talk about the possibilities of us working together and creating positive, lasting impact, together. Also request you to send your updated resume along with your current CTC and notice period at rajarshee.m@stylebaazar.com at the earliest for further initiation of the process. Show more Show less

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place. Your Impact In this role, you will independently manage and administer data analytics platforms including Tableau, KNIME Analytics, Microsoft Power BI, and Microsoft Fabric across On-Premises, AWS, Azure, and EKS environments. Your core responsibilities will include performing upgrades, patching, service monitoring, troubleshooting performance issues, collaborating with vendors, supporting users, managing platform resources, and ensuring service availability. You will evaluate security controls, recommend infrastructure improvements, and support dashboard performance and operational issues, contributing directly to platform stability and scalability. You are expected to develop, adapt, and deliver solutions aligned with evolving cloud Analytics technologies and business needs. In this role, you will work in shifts (excluding night shifts) and provide rotational weekend on-call support from Gurugram (India). You will work directly with global customers, resolve escalated infrastructure issues, and recommend engineered solutions. Your responsibilities will also include reviewing and enforcing policies for analytics systems, AWS, and Azure environments, ensuring high availability, security, access management, and compliance with internal standards. Strong collaboration with IT teams, stakeholders, contractors, and vendors is essential to drive operational excellence and continuous improvement. Your Growth You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your qualifications and skills Bachelor's or master's degree in information technology from an accredited college/university. 3+ years of work experience in managing, supporting & engineering of Business Intelligence/Analytical tools primarily KNIME, Tableau, Power BI, Fabric, AWS/Azure cloud services. Strong expertise with the KNIME Platform, including KNIME Hub administration, user and team management, job queue monitoring, and real-time hub monitoring. Skilled in upgrading and managing KNIME Executors, troubleshooting and resolving Hub issues, integrating KNIME with various data sources, utilizing KNIME Hub APIs, and applying licenses. Proficient in performance tuning of KNIME workflows, backup and restore procedures, generating support bundles, publishing workflows, and understanding KNIME extensions. Strong technical knowledge in Cloud and Containerization Platforms, particularly EKS (Elastic Kubernetes Service) clusters, with an understanding of architecture components like pods, namespaces, and nodes; proficient in starting and stopping pods, creating, and modifying Docker images, managing artifacts with JFrog, executing kubectl command lines, and utilizing Linux commands and scripting. Expertise with Tableau Online (SaaS), performance tuning, best practices, backup/restore, upgrades, vendor management, security models, data migration, integration, and extensions; comprehensive understanding of Tableau architecture, processes, and licensing models. Technical knowledge of Tableau Products and versions including Tableau Server, Tableau Cloud, Tableau Prep, Tableau Bridge, Tableau Desktop. Good Understanding of Power BI Administration: administer and maintain the Power BI platform, including Power BI Service, Power BI Desktop, and Power BI Mobile; configure and manage Power BI gateways, data sources, and datasets to ensure optimal performance and availability; oversee user access, roles, and permissions, support user onboarding, provide training on Power BI tools and best practices, and monitor user activities to ensure compliance with security and governance policies. Sound Understanding of developing, designing, and maintaining dashboards and Analytics, managing and utilizing the Analytical platform to extract meaningful insights from it. Understanding working and managing Public Clouds like Amazon Web Services (AWS)/Microsoft Azure. Understanding RDBMS systems, PostgreSQL, MongoDB, PL/SQL, ETL, Business Intelligence, and Data Analytics. Relevant Tableau, KNIME, Power BI, Fabric, AWS, Azure certifications would be a plus point. Strong problem solving and troubleshooting skills. Distinct quality mindset and service attitude. Strong zero defect & DevOps mindset. Good understanding of Agile /Scrum framework. Solid interpersonal and communication skills. The ability to work both independently and in project teams in a remote team setting. Strong process management background, in developing and optimizing processes. Skills to communicate complex ideas effectively. Ability to communicate effectively - both verbally and in writing - in English as well as the local office language.

Who You'll Work With You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have Continuous learning Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact In this role, you will independently manage and administer data analytics platforms including Tableau, KNIME Analytics, Microsoft Power BI, and Microsoft Fabric across On-Premises, AWS, Azure, and EKS environments. Your core responsibilities will include performing upgrades, patching, service monitoring, troubleshooting performance issues, collaborating with vendors, supporting users, managing platform resources, and ensuring service availability. You will evaluate security controls, recommend infrastructure improvements, and support dashboard performance and operational issues, contributing directly to platform stability and scalability. You are expected to develop, adapt, and deliver solutions aligned with evolving cloud Analytics technologies and business needs. In this role, you will work in shifts (excluding night shifts) and provide rotational weekend on-call support from Gurugram (India). You will work directly with global customers, resolve escalated infrastructure issues, and recommend engineered solutions. Your responsibilities will also include reviewing and enforcing policies for analytics systems, AWS, and Azure environments, ensuring high availability, security, access management, and compliance with internal standards. Strong collaboration with IT teams, stakeholders, contractors, and vendors is essential to drive operational excellence and continuous improvement. Your Qualifications and Skills Bachelor's or master's degree in information technology from an accredited college/university. 3+ years of work experience in managing, supporting & engineering of Business Intelligence/Analytical tools primarily KNIME, Tableau, Power BI, Fabric, AWS/Azure cloud services. Strong expertise with the KNIME Platform, including KNIME Hub administration, user and team management, job queue monitoring, and real-time hub monitoring. Skilled in upgrading and managing KNIME Executors, troubleshooting and resolving Hub issues, integrating KNIME with various data sources, utilizing KNIME Hub APIs, and applying licenses. Proficient in performance tuning of KNIME workflows, backup and restore procedures, generating support bundles, publishing workflows, and understanding KNIME extensions. Strong technical knowledge in Cloud and Containerization Platforms, particularly EKS (Elastic Kubernetes Service) clusters, with an understanding of architecture components like pods, namespaces, and nodes; proficient in starting and stopping pods, creating, and modifying Docker images, managing artifacts with JFrog, executing kubectl command lines, and utilizing Linux commands and scripting. Expertise with Tableau Online (SaaS), performance tuning, best practices, backup/restore, upgrades, vendor management, security models, data migration, integration, and extensions; comprehensive understanding of Tableau architecture, processes, and licensing models. Technical knowledge of Tableau Products and versions including Tableau Server, Tableau Cloud, Tableau Prep, Tableau Bridge, Tableau Desktop. Good Understanding of Power BI Administration administer and maintain the Power BI platform, including Power BI Service, Power BI Desktop, and Power BI Mobile; configure and manage Power BI gateways, data sources, and datasets to ensure optimal performance and availability; oversee user access, roles, and permissions, support user onboarding, provide training on Power BI tools and best practices, and monitor user activities to ensure compliance with security and governance policies. Sound Understanding of developing, designing, and maintaining dashboards and Analytics, managing and utilizing the Analytical platform to extract meaningful insights from it. Understanding working and managing Public Clouds like Amazon Web Services (AWS)/Microsoft Azure. Understanding RDBMS systems, PostgreSQL, MongoDB, PL/SQL, ETL, Business Intelligence, and Data Analytics. Relevant Tableau, KNIME, Power BI, Fabric, AWS, Azure certifications would be a plus point. Strong problem solving and troubleshooting skills. Distinct quality mindset and service attitude. Strong zero defect & DevOps mindset. Good understanding of Agile /Scrum framework. Solid interpersonal and communication skills. The ability to work both independently and in project teams in a remote team setting. Strong process management background, in developing and optimizing processes. Skills to communicate complex ideas effectively. Ability to communicate effectively - both verbally and in writing - in English as well as the local office language. Show more Show less

Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualizations, and performing predictive and prescriptive analytics approaches to drive actionable insights for the North American market. Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, R SI, Retail Lin,k etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting, Good Knowledge of Predictive Analytics, Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data by the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) company Good analytical skills excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python ,R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization,and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder management Ability to provide new ways of approaching situations and developing new, efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities, and plan

Financial Analyst WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US The Financial Data Operator is responsible to perform the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible for answering client questions and conduct all necessary data analyses of financial instruments data to resolve service delivery incidents to continue service delivery. The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks. Eventually, this role also requires demonstrating very client-focused mindset, substantial know- how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. WHAT YOU WILL BE RESPONSIBLE FOR Performs all daily service deliverables in terms of collecting, composing, controlling, and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance Perform all necessary tasks to comply existing operational risk frameworks (e.g., Sarbanes– Oxley Act (SOX), Risk and Control Engine (RACE) etc.) Efficiently support and contribute to continuous improvement of operational processes (with predominant focus on manual processes, high-risk areas), data quality checks and system functionality Work with local/regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope Experience working cross-organizationally with both Business and Technology groups. Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation, or other open topics to avoid know-how silos/gaps and assure service level consistency Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation Maintain documentation in terms of business processes, functional descriptions, operational runbooks, or other manuals to ensure information transparency and enable know-how transfers WHAT WE VALUE For the Financial Analyst position, we value MUST HAVE: Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 4- 5 years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor’s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 years GOOD TO HAVE: Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA with scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL BENEFITS Attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide a good work and life balance: flexible working hours and a hybrid model. And opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com), Talent Acquisition Partner, at email address. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. WHO WE ARE? For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to[1]back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. #Li-Hybrid

Financial Analyst What Makes Us, Us Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US The Financial Data Operator is responsible to perform the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible for answering client questions and conduct all necessary data analyses of financial instruments data to resolve service delivery incidents to continue service delivery. The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks. Eventually, this role also requires demonstrating very client-focused mindset, substantial know- how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. What You Will Be Responsible For Performs all daily service deliverables in terms of collecting, composing, controlling, and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance Perform all necessary tasks to comply existing operational risk frameworks (e.g., Sarbanes– Oxley Act (SOX), Risk and Control Engine (RACE) etc.) Efficiently support and contribute to continuous improvement of operational processes (with predominant focus on manual processes, high-risk areas), data quality checks and system functionality Work with local/regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope Experience working cross-organizationally with both Business and Technology groups. Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation, or other open topics to avoid know-how silos/gaps and assure service level consistency Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation Maintain documentation in terms of business processes, functional descriptions, operational runbooks, or other manuals to ensure information transparency and enable know-how transfers What We Value For the Financial Analyst position, we value MUST HAVE: Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 4- 5 years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor’s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 years GOOD TO HAVE: Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA with scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL Benefits Attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide a good work and life balance: flexible working hours and a hybrid model. And opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually . Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com) , Talent Acquisition Partner, at email address. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. WHO WE ARE? For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to[1]back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. Show more Show less

Company Description Dr. Reddy’s Laboratories Ltd. is a leading multinational pharmaceutical company based across global locations. Each of our 24,000 plus employees comes to work every day for one collective purpose: to accelerate access to affordable and innovative medicines because Good Health Can’t Wait . We started in 1984 with a modest investment, 20 employees and a bold vision. Today, we have research and development centres, manufacturing facilities or a commercial presence in 66 countries. For nearly four decades, we have stood for access, affordability and innovation based on the bedrock of deep science, progressive people practices and robust corporate governance. As the pharmaceutical industry evolves and undergoes disruption, we see an opportunity – to strengthen our core further (the next steps) and to build the future (the new bets). ‘The Next and the New’ is how we aim to continue to be the partner of choice – purpose-driven, future-ready and sustainable. Our aim is to reach over 1.5 Bn+ patients across the world by 2030 by growing our core businesses and building for the future with sustainability at the core of our purpose and strategy. Sustainability for us means operating in a manner that respects people, planet and purpose – helping us conserve precious resources, serve our patients, create value for stakeholders, give back to society, fulfil our potential and maintain our integrity and transparency Dr Reddy’s maintains a work environment, free from discrimination and is an equal opportunity employer. We are committed to employ & nurture all qualified diverse workforce without regard to race, colour religion, nationality, sex, age, disability status, genetics, sexual orientation, gender expression, citizenship or any other characteristic or classification protected by applicable law(s) of the country we operate in. We treasure every talent, and recognize merit and diversity in our organization. Job Description Job summary We are looking to hire a Lead - Data Analytics team ensuring continuous control monitoring, risk based insights for proactive management and higher risk oversight. Responsibilities include planning, conducting fieldwork, data analysis to provide sharp insights, validating samples, organizing work papers, interacting with stakeholders, preparing reports with observations and root cause analysis, and ensuring timely closure through effective follow-up. Role involves active participation in process understanding discussions, team handling, stakeholder management, providing insights to the management and knowledge-sharing activities within the team. Roles & Responsibilities Digital & Innovation: Prepare and execute digital strategy for Internal Audit and SOX including data analytics and audit lifecycle management tool. Develop and implement data analytics driven processes for digital audits, continuous control monitoring ensuring higher risk oversight and proactive actions. Continuous control monitoring: Ensure in depth business understanding and execute analytics reviews, allocated as per yearly plan, ensuring end to end timely and qualitative deliverables. Maintain comprehensive and effective documentation/work papers. Work with the Internal Audit team members to continuously define and outline the analytics needed for the internal audits. Develop the necessary analytics to support Internal Audit engagements and provide data insights. Reporting and Stakeholder management: Prepare impactful audit report along with detailed annexures, root cause, drive global CAPA (action plan), Effective stakeholder management to effectively highlight areas of improvement and recommendations including benchmarks. Ensure periodic updates with Senior Management and Audit Committee and ensure timely closure of identified gaps/areas of improvement. Drive higher adoption of exception reports by first and second line of defence ensuring effective controls and in time detection. Follow up for implementation of agreed actions to ensure effective control environment and timely risk mitigation. Team Management: Effective team management to drive qualitative outcomes and timely closure of audits. Foster a collaborative and inclusive team environment with overall target of highly motivated team. On the job training to team members to build a strong data analytics team enabling analytical mind-set and continuous control monitoring to drive meaningful data insights. Qualifications Educational qualification: Chartered Accountant with 7-12 years of experience in in Internal Audit and Data Analytics, preferably in a manufacturing industry, Certification in data analytics will be preferred. Hands on experience in implementation/execution of SAP ERP, Data Analytics tools such as Tableau, SQL/GBQ, Knime, visualization tools, project management etc. Strong understanding of Internal Financial Controls and fraud risk assessments. CIA/CISA/DISA certification is an advantage Behavioural skills: Ability to work independently, and lead data analytics/ cross-functional teams Proficiency in interpersonal skills, fostering positive relationships, influencing stakeholders, building strong connections and partnerships. Displays assertiveness, effectively expressing ideas and opinions while respecting others. Strong communication skills, facilitating clear and impactful interactions. Proficiency in report writing, conveying information in a clear and structured manner. Strong analytical skills, enabling effective problem-solving and decision-making. Additional Information About the Department Benefits Offered At Dr. Reddy’s we actively help to catalyse your career growth and professional development through personalised learning programs. The benefits you will enjoy at Dr. Reddy’s are on par with the best industry standards. They include, among other things and other essential equipment, joining & relocation support, family support (Maternity & Paternity benefits), learning and development opportunities, medical coverage for yourself and your family, life coverage for yourself. Our Work Culture Ask any employee at Dr. Reddy’s why they come to work every day and they’ll say, because Good Health Can’t Wait. This is our credo as well as the guiding principle behind all our actions. We see healthcare solutions not only as scientific formulations, but as a means to help patients lead healthier lives, and we’re always attuned to the new and the next to empower people to stay fit. And to do this, we foster a culture of empathy and dynamism. People are at the core of our journey over the last few decades. They have been supported by an enabling environment that buoys individual ability while fostering teamwork and shared success. We believe that when people with diverse skills are bound together by a common purpose and value system, they can make magic. For more details, please visit our career website at https://careers.drreddys.com/#!/ Show more Show less

Employment Type Permanent Closing Date 13 June 2025 11:59pm Job Title IT Domain Specialist Job Summary As the IT Domain Specialist, your role is key in improving the stability and reliability of our cloud offerings and solutions to ensure continuity of service for our customers. You will be responsible for supporting the end-to-end development of key cloud platform and solutions which includes technical design, integration requirements, delivery and lifecycle management. You are a specialist across and/or within a technology domain and viewed as the go-to person in the business to provide technical support in the development and delivery of cloud infrastructure platforms and solutions. Job Description Who We Are Telstra is Australia’s leading telecommunications and technology company spanning over a century with a footprint in over 20+ countries. In India, we’re building a platform for innovative delivery and engagement that will strengthen our position as an industry leader. We’ve grown quickly since our inception in 2019, now with offices in Pune, Hyderabad and Bangalore. Focus of the Role Event Data Engineer role is to plan, coordinate, and execute all activities related to the requirements interpretation, design and implementation of Business intelligence capability. This individual will apply proven industry and technology experience as well as communication skills, problem-solving skills, and knowledge of best practices to issues related to design, development, and deployment of mission-critical business systems with a focus on quality application development and delivery. What We Offer Performance-related pay Access to thousands of learning programs so you can level-up Global presence across 22 countries; opportunities to work where we do business. Up to 26 weeks maternity leave provided to the birth mother with benefits for all child births Employees are entitled to 12 paid holidays per calendar year Eligible employees are entitled to 12 days of paid sick / casual leave per calendar year Relocation support options across India, from junior to senior positions within the company Receive insurance benefits such as medical, accidental and life insurances What You’ll Do Experience in Analysis, Design, and Development in the fields of Business Intelligence, Databases and Web-based Applications. Experience in NiFi, Kafka, Spark, and Cloudera Platforms design and development. Experience in Alteryx Workflow development and Data Visualization development using Tableau to create complex, intuitive dashboards. In-depth understanding and experience in Cloudera framework includes CDP (Cloudera Data Platform). Experience in Cloudera manager to monitor Hadoop cluster and critical services . Hadoop administration ( Hive, Kafka, zookeeper etc.). Experience in data management including data integration, modeling, optimization and data quality. Strong knowledge in writing SQL and database management. Working experience in tools like Alteryx , KNIME will be added advantage. Implementing Data security and access control compliant to Telstra Security Standards Ability to review vendor designs and recommended solutions based on industry best practises Understand overall business operations and develops innovative solutions to help improve productivity Ability to understand and design provisioning solutions at Telstra and how Data lakes Monitor process of software configuration/development/testing to assure quality deliverable. Ensure standards of QA are being met Review deliverables to verify that they meet client and contract expectations; Implement and enforce high standards for quality deliverables Analyses performance and capacity issues of the highest complexity with Data applications. Assists leadership with development and management of new application capabilities to improve productivity Provide training and educate other team members around core capabilities and helps them deliver high quality solutions and deliverables/documentation Self-Motivator to perform Design / Develop user requirements, test and deploy the changes into production. About You Experience in data flow development and Data Visualization development to create complex, intuitive dashboards. Experience with Hortonworks Data Flow (HDF) this includes NiFi and Kafka experience with Cloudera Edge Big Data & Data Lake Experience Cloudera Hadoop with project implementation experience Data Analytics experience Data Analyst and Data Science exposure Exposure to various data management architectures like data warehouse, data lake and data hub, and supporting processes like data integration, data modeling. Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using data integration technologies Experience in supporting operations and knowledge of standard operation procedures: OS Patches, Security Scan, Log Onboarding, Agent Onboarding, Log Extraction etc. Development and deployment and scaling of containerised applications with Docker preferred. A good understanding of enterprise application integration, including SOA, ESB, EAI, ETL environments and an understanding of integration considerations such as process orchestration, customer data integration and master data management A good understanding of the security processes, standards & issues involved in multi-tier, multi-tenant web applications We're amongst the top 2% of companies globally in the CDP Global Climate Change Index 2023, being awarded an 'A' rating. If you want to work for a company that cares about sustainability, we want to hear from you. As part of your application with Telstra, you may receive communications from us on +61 440 135 548 (for job applications in Australia) and +1 (623) 400-7726 (for job applications in the Philippines and India). When you join our team, you become part of a welcoming and inclusive community where everyone is respected, valued and celebrated. We actively seek individuals from various backgrounds, ethnicities, genders and disabilities because we know that diversity not only strengthens our team but also enriches our work. We have zero tolerance for harassment of any kind, and we prioritise creating a workplace culture where everyone is safe and can thrive. As part of the hiring process, all identified candidates will undergo a background check, and the results will play a role in the final decision regarding your application. We work flexibly at Telstra. Talk to us about what flexibility means to you. When you apply, you can share your pronouns and / or any reasonable adjustments needed to take part equitably during the recruitment process. We are aware of current limitations with our website accessibility and are working towards improving this. Should you experience any issues accessing information or the application form, and require this in an alternate format, please contact our Talent Acquisition team on DisabilityandAccessibility@team.telstra.com.