5312 Data Visualization Jobs - Page 19

Job Roles & Responsibilities Analyze and interpret complex datasets using Python to drive strategic decisions, Develop and maintain data models and reporting tools to support business objectives, Collaborate with cross-functional teams to identify

We are looking for individuals who share our core belief that Every Day is Game day. At Pine Labs, we aim to enrich the world through the power of digital commerce and financial services by bringing our best selves to work each day. As a Senior Database Leader, you will be responsible for leading our Database Engineering and Analytics teams. Your role will involve a deep technical understanding of database architectures, managing production databases, and optimizing database environments on managed cloud platforms to enable highly available and scalable data solutions. Your responsibilities will include leading and managing the Database Engineering and Analytics teams to ensure optimal performance and availability of all database environments. You will oversee the architecture and operation of production databases, manage various databases such as SQL Server, Postgres, and MongoDB, and deploy highly available database solutions with redundancy for critical business systems. Additionally, you will collaborate with cross-functional teams on data analytics initiatives, supporting machine learning projects and analytical workloads while leveraging cutting-edge technology for best-in-class data solutions for our customers. To excel in this role, you should have a minimum of 15-20 years of industry experience, including at least 5 years of direct experience in managing database engineering teams, data lakes, and analytical workloads. You should possess expertise in managing various databases, setting up highly available database architectures, and working with cloud-based database setups on platforms like AWS, Azure, or GCP. Additionally, experience in Fintech, knowledge of reporting solutions, strong leadership skills, problem-solving abilities, and excellent communication skills are essential for success in this role. At Pine Labs, we value individuals who make decisions fast, take ownership of their work, build solutions for merchants, seek continuous learning, and pride themselves in the work they do.,

As an integral part of our Data Automation & Transformation team, you will experience unique challenges every day. We are looking for someone with a positive attitude, entrepreneurial spirit, and a willingness to dive in and get things done. This role is crucial to the team and will provide exposure to various aspects of managing a banking office. In this role, you will focus on building curated Data Products and modernizing data by moving it to SNOWFLAKE. Your responsibilities will include working with Cloud Databases such as AWS and SNOWFLAKE, along with coding languages like SQL, Python, and Pyspark. You will analyze data patterns across large multi-platform ecosystems and develop automation solutions, analytics frameworks, and data consumption architectures utilized by Decision Sciences, Product Strategy, Finance, Risk, and Modeling teams. Ideally, you should have a strong analytical and technical background in financial services, particularly in small business banking or commercial banking segments. Your key responsibilities will involve migrating Private Client Office Data to Public Cloud (AWS and Snowflake), collaborating closely with the Executive Director of Automation and Transformation on new projects, and partnering with various teams to support data analytics needs. You will also be responsible for developing data models, automating data assets, identifying technology gaps, and supporting data integration projects with external providers. To qualify for this role, you should have at least 3 years of experience in analytics, business intelligence, data warehousing, or data governance. A Master's or Bachelor's degree in a related field (e.g., Data Analytics, Computer Science, Math/Statistics, or Engineering) is preferred. You must have a solid understanding of programming languages such as SQL, SAS, Python, Spark, Java, or Scala, and experience in building relational data models across different technology platforms. Excellent communication, time management, and multitasking skills are essential for this role, along with experience in data visualization tools and compliance with regulatory standards. Knowledge of risk classification, internal controls, and commercial banking products and services is desirable. Preferred qualifications include experience with Big Data and Cloud platforms, data wrangling tools, dynamic reporting applications like Tableau, and proficiency in data architecture, data mining, and analytical methodologies. Familiarity with job scheduling workflows, code versioning software, and change management tools would be advantageous.,

Are you seeking an exciting opportunity to be a part of a dynamic and expanding team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business within the Digital Transformation team. You will be expected to demonstrate advanced SQL skills and utilize intelligent automation programming tools. Your key responsibilities will include designing and implementing complex SQL queries for data extraction, transformation, and loading (ETL), as well as developing and deploying intelligent automation solutions to optimize data workflows. You will also be responsible for leading data integration projects, working closely with stakeholders to define data requirements, and ensuring data quality and integrity through rigorous testing and validation. Additionally, providing mentorship and guidance to junior team members will be an essential part of your role. To excel in this position, you should possess 10+ years of experience in data transformation and process automation, along with familiarity with data visualization and reporting tools. Knowledge of data science and AI/ML concepts would be advantageous. Advanced proficiency in SQL, expertise in intelligent automation programming tools such as Python and RPA tools, strong project management and leadership skills, excellent analytical and problem-solving abilities, as well as effective communication and collaboration skills are all necessary qualifications and capabilities for this role.,

As a valuable member of our team, your role will involve determining and developing user requirements for systems in production to ensure maximum usability. By utilizing your skills in usability, data analysis, machine learning, statistical analysis, communication skills, big data technologies (such as Hadoop and Spark), programming languages (such as Python and R), data visualization, and SQL, you will contribute to the success of our projects. Success in this position will mean that you have effectively gathered and analyzed data to provide valuable insights, improving the usability and functionality of our systems. Your ability to apply statistical analysis and machine learning techniques will play a crucial role in driving decision-making processes within the organization. This role is essential in ensuring that our systems meet the needs and expectations of our users, ultimately contributing to the overall success of our organization. Your expertise in data analysis and programming will be instrumental in driving innovation and efficiency in our projects. If you possess excellent verbal and written communication skills, along with a keen eye for detail and a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact through your contributions to our team.,

As a Data Scientist at our company, you will be responsible for analyzing large sets of structured and unstructured data to uncover trends and insights that can drive business decisions. Your expertise in data mining, statistical analysis, and machine learning will be crucial in developing and implementing machine learning models and algorithms for predictive and prescriptive analysis. Collaborating with cross-functional teams, you will play a key role in building models, developing algorithms, and enhancing our data infrastructure. Your key responsibilities will include performing exploratory data analysis (EDA), preparing reports using data visualization tools such as Tableau, Power BI, and Matplotlib, and conducting A/B testing and statistical analysis to assess the impact of business changes. Working closely with data engineers, you will build and maintain scalable data pipelines, ensuring data quality and optimizing models for performance and scalability. Additionally, you will stay up to date with the latest techniques in data science and machine learning, applying them to business challenges. Your ability to present findings and insights to non-technical stakeholders and executives in an understandable format will be essential in driving strategic decision-making. Supporting ad-hoc analysis and providing data-driven recommendations will also be part of your role. If you have a passion for deriving actionable insights from large data sets and are excited about leveraging data science methodologies to solve business problems, we invite you to join our team as a Data Scientist.,

At Kenvue, we understand the profound impact of everyday care. With a rich heritage spanning over a century and a foundation in science, we are the proud home of renowned brands such as NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS, and BAND-AID that are already part of your daily life. Our dedication to science fuels our endeavors, while our caring nature defines our abilities. Comprising a global team of 22,000 diverse and talented individuals, we are dedicated to innovation, insights, and delivering exceptional products to our valued customers. As a Kenvuer, you possess the power to positively influence the lives of millions every day. Placing people at the forefront, we embody a culture of care, trust, scientific integrity, and problem-solving courage. Exciting opportunities are on the horizon, waiting for you to be a part of shaping not just our future, but yours as well. In the role of a Manager, Data Products at Kenvue, you will play a pivotal role in spearheading the development and implementation of data-driven products leveraging digital, artificial intelligence, and analytics technologies. Working in close collaboration with multifunctional teams comprising data scientists, software engineers, product managers, and business stakeholders, you will be tasked with defining the vision, strategy, and execution of these innovative products. Your responsibilities will include collaborating with stakeholders to establish the vision, goals, and roadmap for digital, data, and AI products that align with overarching business objectives. By engaging with various business units, you will decipher their requirements and translate them into actionable product specifications. Overseeing data collection, storage, and preprocessing processes will be essential to ensure data quality and availability for training and model deployment. You will work hand in hand with data scientists and machine learning engineers to conceptualize, develop, and deploy machine learning models that drive the AI data products. In addition, you will lead the entire product development lifecycle, encompassing design, development, testing, and deployment phases of AI data products. Collaboration with user experience (UX) designers is crucial to ensure the creation of intuitive and user-friendly interfaces for these products. Monitoring performance metrics and establishing tracking mechanisms will allow you to gauge the impact of AI data products effectively. Continuous iteration and enhancement of data products based on user feedback and performance insights will be a key focus area. Market analysis and competitive research will enable you to identify opportunities and remain abreast of industry trends. Furthermore, you will be responsible for risk management by identifying potential risks associated with data and AI products and devising mitigation strategies. The core responsibilities of this role include defining the data product vision and roadmap, ensuring alignment with business needs for impactful monetization, managing the data product development lifecycle, gathering requirements from stakeholders, designing the technical architecture of data products, ensuring data product quality, overseeing the launch and monitoring of data products, providing user training on data products, marketing data products to potential users, collaborating with the data science team to develop new data product features, managing the data product's budget, and implementing the data product marketplace to enhance user adoption and experience. The ideal candidate for this role would possess a minimum of 8 years of relevant experience with a Bachelor's degree, or a Master's degree, or a PhD along with 5 years of experience in areas such as Technology, Computer/Software Engineering, Data Science, Applied Mathematics, or Statistics. Additionally, 3+ years of experience in the CPG/Retail industry with a sound understanding of business and data domains related to Customer, Product, Consumer, and Finance is preferred. Proven experience in product management or product ownership, particularly in the realm of data-driven products like data platforms and AI technologies, is highly desirable. Familiarity with machine learning concepts, algorithms, and model deployment is advantageous. Strong project management skills, stakeholder management capabilities, and the ability to lead cross-functional teams are essential qualities. Proficiency in data analysis, visualization, and data-driven decision-making is crucial. Effective communication and presentation skills to convey intricate technical concepts to non-technical stakeholders are required. An understanding of data privacy and security considerations in AI product development is important. Experience with Agile development methodologies is beneficial. Proficiency in Data Governance, Metadata Management, Data Catalog, Business Glossary, Python, and SQL is preferred. Candidates from the Retail or CPG industry would be given preference. This position is based in Bangalore, India, within the Asia Pacific region, and falls under the Architecture job function at Kenvue. Desired qualifications for this role include expertise in various areas related to data product management. Join us at Kenvue and be a part of our journey towards creating impactful and innovative data products that shape the future while enhancing your own professional growth.,

The Senior Specialist / AM FPA (Pricing) position based in Gurgaon (Hybrid) requires 3-5 years of experience. The role involves developing and executing sales and marketing strategies to achieve growth goals for lending portfolios partners. The ideal candidate should have a background in creating and implementing marketing campaigns and strategies with a strong focus on maximizing ROI through data-driven decisions. The Specialist will play a crucial role in commercial and financial modeling within the Pricing team, utilizing data from various sources to develop intricate pricing models that align with target margins based on operational, competitor, market, and customer data. Collaboration with departments such as sales, marketing, operations, and finance is essential to develop strategies that drive sales and ensure competitive pricing proposals and bids. The ability to present pricing methods and findings to key stakeholders and translate complex data into actionable strategies to drive sales and enhance marketing efforts is crucial. Key responsibilities include developing forecasts and models to aid in setting and adjusting prices, establishing price points for existing and new services to enhance profit margins and sales, ensuring pricing accuracy aligned with strategic goals, and supporting M & A transactions by building financial models and conducting due diligence when opportunities arise. The ideal candidate should possess experience in financial planning and analysis, financial modeling, budgeting, and forecasting in a high-growth company, preferably in the service industry. Proficiency in MS Excel, data analysis and reporting, and familiarity with data visualization software such as Power BI and Tableau is preferred. Strong analytical, quantitative, communication, and interpersonal skills are essential, along with the ability to work independently and collaboratively in a fast-paced environment. Educational qualifications include an MBA from a top-tier Business School and 5+ years of relevant experience. Advanced/expert-level skills in MS Excel are a must, with knowledge of MS Access, PowerPoint, Power BI, and NetSuite being advantageous. The candidate must excel in project management, be capable of managing multiple initiatives concurrently, and possess the ability to diagnose and present issues clearly to senior management while proactively proposing solutions.,

As a Business Analyst based in Ludhiana, your role will involve gathering and documenting business requirements from stakeholders. You will conduct thorough research and data collection to support decision-making processes. Analyzing data to identify trends, patterns, and insights will be a key aspect of your responsibilities. Additionally, you will be responsible for developing and implementing data analysis methodologies and tools. In this role, you will create visualizations and reports to effectively present data findings to relevant stakeholders. Collaboration with cross-functional teams will be essential to define and prioritize business needs. You will also conduct risk assessments, identify potential risks and issues, and develop recommendations and strategies to mitigate these risks. Monitoring and tracking the effectiveness of risk mitigation measures will also be part of your duties. Providing training and support to stakeholders on data analysis tools and techniques will be crucial. Collaboration with IT teams to ensure data accuracy and integrity is maintained throughout the process. Keeping up-to-date with industry trends and best practices in data analysis will be necessary to excel in this role. This is a full-time position with a day shift and fixed shift schedule. The work location is in person, requiring your presence at the designated office location.,

You will be responsible for analyzing healthcare data in the U.S. healthcare industry to ensure compliance with regulations such as HIPAA, support population health initiatives, claims analysis, and operational efficiency. Your role as a Healthcare Data Analyst will involve analyzing clinical, claims, and operational data to uncover insights that improve patient outcomes, reduce costs, and enhance healthcare delivery. You should have experience working with healthcare datasets and a strong understanding of healthcare systems, compliance requirements, and performance metrics. Your key responsibilities will include analyzing claims, Electronic Health Records (EHR), and clinical data to identify trends and patterns, developing and maintaining dashboards using tools like Power BI, Tableau, or Qlik, supporting population health initiatives by providing data-driven insights, partnering with stakeholders to define requirements, ensuring compliance with HIPAA, conducting ad hoc analyses, and monitoring data quality. To qualify for this role, you should have a Bachelor's degree in Public Health, Health Informatics, Data Science, Statistics, Computer Science, or a related field. Proficiency in SQL for querying large healthcare datasets is required, along with experience working with medicalclaims, EHR/EMR systems, and data visualization tools. Understanding of HIPAA and healthcare data security best practices is essential. Preferred qualifications include experience with Python or R for statistical analysis, familiarity with risk adjustment models, predictive analytics, value-based care reporting, and healthcare interoperability standards. A Master's degree in Health Informatics, Public Health, or a related field is a plus. Soft skills such as strong analytical thinking, effective communication, ability to work independently and collaborate in cross-functional teams, and being detail-oriented with strong organizational skills are important for this role. In return, you will receive a competitive salary, performance-based bonuses, comprehensive medical insurance, paid time off, holidays, parental leave, and remote work flexibility.,

We are seeking a dynamic individual to join Eucloid as a Lead Data Consultant. In this role, you will collaborate with client stakeholders in the Marketing Analytics vertical, driving impactful insights and strategic decisions. Your responsibilities will include identifying opportunities and influencing partners, ensuring scalability and effectiveness of marketing solutions, and connecting data sources to provide comprehensive analyses. You will be instrumental in developing data-driven hypotheses and recommendations to optimize campaign performance, leveraging your expertise in SQL, Python, Tableau, and Looker. The ideal candidate will hold an Undergraduate Degree in a quantitative discipline from a Top-Tier institution, with an MBA considered a plus. With a minimum of 4 years of experience in Data Analytics or Marketing Analytics, you should possess a strong proficiency in various analytics tools and platforms such as Adobe Analytics, Salesforce, and Google Analytics. To excel in this role, you must demonstrate exceptional analytical, problem-solving, and organizational skills, with a keen eye for detail. Your ability to understand technology dependencies and effectively manage complex projects will be crucial. Additionally, strong leadership experience and communication skills are essential for presenting insights to stakeholders and mentoring high-performing teams. This position offers an attractive compensation package and is based in Gurugram. If you are ready to take on this exciting opportunity, please contact Shruti Deobhankar at careers@eucloid.com to apply.,

The role of a Pricing Implementation Lead at FedEx involves ensuring timely, accurate, and quality-checked setup of discounts and pricing for large customers/accounts using FedEx Pricing systems and relevant tools. It requires transforming and optimizing pricing processes and systems for enhanced efficiency, reduced turnaround times, and diminished human intervention through process simplification and automation initiatives. As a Pricing Implementation Lead, your primary responsibilities include validating approved prices" completeness and implementing them for FedEx customers. You will specialize in facilitating pricing deployment across different FedEx operating companies, involving execution, testing, documentation, and optimizing contract administration pricing processes. Your duties will consist of entering pricing discount and rates information into FedEx enterprise pricing systems, configuring necessary parameters within the pricing systems, and auditing data entered in the pricing ecosystem. You will also be involved in planning, implementing pricing changes, and validating them for Pricing Contract administration. This role manages pricing-specific processes supporting all FedEx Enterprise Global Net Rate Pricing accounts, including Global Air Freight pricing. Collaboration with key business partners to effectively implement customers" pricing and discounting requirements, streamlining pricing processes through optimization and automation, and managing costs to achieve business efficiencies are crucial aspects of this position. To excel in this role, you must possess the ability to independently run complex projects with minimal supervision, excellent communication skills across all levels, proficiency in business process configuration and project management tasks, hands-on experience in working across complex enterprise systems, and a strong understanding of data flow and governance methodology. Additionally, technical skills in data extraction using SQL or SAS, data visualization using Power BI or Tableau, or data analysis using Advanced Excel are essential. The ideal candidate for this position would have a background as a Business Analyst, Techno-Functional Analyst, System Analyst, Implementation Analyst, Consultant, or in process-oriented roles with 6 to 10 years of relevant work experience. A Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or a similar discipline is required, while a Master's degree or PhD is preferred. FedEx is committed to fostering a diverse, equitable, and inclusive workforce and is an equal opportunity/affirmative action employer. The company values fair treatment, growth opportunities for all, and a people-first philosophy. FedEx's success is attributed to its team members, who are dedicated to delivering outstanding service to customers worldwide.,

The Data Visualization, Business Analytics role is vital for the organization as it involves transforming intricate data into visual insights for key stakeholders, facilitating informed decision-making and strategic planning. You will collaborate with business leaders to recognize and prioritize data visualization requirements. Your responsibilities will include designing interactive dashboards and reports to illustrate essential business metrics and trends. You will create visually appealing charts, graphs, and presentations that are easily understandable. Furthermore, it is essential to develop and uphold data visualization best practices and standards. As part of the role, you will utilize various data visualization tools and platforms to present insights effectively. Conducting data analysis to identify patterns and trends for visualization purposes will be a key task. Implementing user interface (UI) and user experience (UX) principles to enhance visualization is crucial. Providing training and support to team members on data visualization techniques is also part of the responsibilities. Additionally, you will be responsible for performing ad-hoc analysis and data mining to support business needs. Collaboration with data engineers and data scientists to ensure data accuracy and integrity is essential. It is important to stay updated with industry trends and best practices in data visualization and business analytics. Presenting findings and insights to key stakeholders in a clear and compelling manner will be a regular task. Communication with cross-functional teams to understand data requirements is vital. You will contribute to the continuous improvement of data visualization processes and techniques. The role requires a Bachelor's degree in Data Science, Business Analytics, Computer Science, or a related field. Proven experience in data visualization, business intelligence, or related roles is necessary. Proficiency in data visualization tools like Tableau, Power BI, or D3.js is essential. Strong analytical and problem-solving skills are required. Expertise in SQL for data querying and manipulation is a must. An understanding of statistical concepts and data modeling is crucial. Excellent communication and presentation skills are necessary. The ability to work effectively in a fast-paced and dynamic environment is essential. Knowledge of business operations and strategic planning is required. Experience in interpreting and analyzing complex datasets is beneficial. Familiarity with data warehousing and ETL processes is a plus. Managing multiple projects and deadlines simultaneously, being detail-oriented with a focus on data accuracy and quality, working collaboratively in a team setting, and possessing strong business acumen and understanding of key performance indicators are important skills for this role.,

A career within Financial Markets Business Advisory services will provide you with the opportunity to contribute to a variety of audit, regulatory, valuation, and financial analyses services to design solutions that address clients" complex accounting and financial reporting challenges, as well as their broader business issues. To really stand out and make fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, gives us a single set of expectations across our lines, geographies, and career paths. It provides transparency on the skills required as individuals to be successful and progress in our careers, now and in the future. Responsibilities As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Invite and give in the moment feedback in a constructive manner. - Share and collaborate effectively with others. - Identify and make suggestions for improvements when problems and/or opportunities arise. - Handle, manipulate, and analyze data and information responsibly. - Follow risk management and compliance procedures. - Keep up-to-date with developments in the area of specialism. - Communicate confidently in a clear, concise, and articulate manner - verbally and in the materials produced. - Build and maintain an internal and external network. - Seek opportunities to learn about how PwC works as a global network of firms. - Uphold the firm's code of ethics and business conduct. We are seeking a highly motivated Data Engineer - Associate to join our dynamic team. The ideal candidate will have a strong foundation in data engineering, particularly with Python and SQL, and exposure to cloud technologies and data visualization tools such as Power BI, Tableau, or QuickSight. The Data Engineer will work closely with data architects and business stakeholders to support the design and implementation of data pipelines and analytics solutions. This role offers an opportunity to grow technical expertise in cloud and data solutions, contributing to projects that drive business insights and innovation. Key Responsibilities Data Engineering: - Develop, optimize, and maintain data pipelines and workflows to ensure efficient data integration from multiple sources. - Use Python and SQL to design and implement scalable data processing solutions. - Ensure data quality and consistency throughout data transformation and storage processes. - Collaborate with data architects and senior engineers to build data solutions that meet business and technical requirements. Cloud Technologies - Work with cloud platforms (e.g., AWS, Azure, or Google Cloud) to deploy and maintain data solutions. - Support the migration of on-premise data infrastructure to the cloud environment when needed. - Assist in implementing cloud-based data storage solutions, such as data lakes and data warehouses. Data Visualization - Provide data to business stakeholders for visualizations using tools such as Power BI, Tableau, or QuickSight. - Collaborate with analysts to understand their data needs and optimize data structures for reporting. Collaboration And Support - Work closely with cross-functional teams, including data scientists and business analysts, to support data-driven decision-making. - Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery. - Document processes, data flows, and infrastructure for team knowledge sharing. Required Skills And Experience - 0+ years of experience in data engineering, working with Python and SQL. - Exposure to cloud platforms such as AWS, Azure, or Google Cloud is preferred. - Familiarity with data visualization tools (e.g., Power BI, Tableau, QuickSight) is a plus. - Basic understanding of data modeling, ETL processes, and data warehousing concepts. - Strong analytical and problem-solving skills, with attention to detail. Qualifications - Bachelor's degree in Computer Science, Data Science, Information Technology, or related fields. - Basic knowledge of cloud platforms and services is advantageous. - Strong communication skills and the ability to work in a team-oriented environment.,

Data Visualization and BI Manager Join a leading independent service provider specializing in critical telecommunication and renewable energy infrastructure. With a global presence, our company delivers comprehensive engineering, maintenance, repair, and repowering solutions to ensure seamless operations in wireless and wireline telecom, commercial and utility-scale solar and wind projects, EV charging stations, and large-scale power generation and energy storage assets. Your Impact: As the Data Visualization and BI Manager , you will lead a talented team of Power BI developers, leveraging Power BI and Salesforce for advanced reporting and analytics. Your strategic expertise will drive data-driven initiatives to enhance business decisions and performance monitoring. Core Responsibilities: Lead and mentor a globally distributed team of data visualization and dashboard specialists. Oversee the creation and maintenance of comprehensive reports and dashboards using Power BI and Salesforce. Collaborate with data engineers and technical teams to enhance data pipelines, process automation, and data quality. Ensure data accuracy and integrity across all BI tools and systems. Promote the adoption of data analytics best practices and continuously improve BI processes. Present insights and recommendations clearly to stakeholders and executive leadership. Stay updated with industry trends and advancements in data analysis and BI technologies. Core Qualifications: Minimum of 5 years of experience in an English-based work environment. Experience in professional services or telecommunications is preferred. Proven expertise in a BI management role focusing on data visualization and reporting best practices. Strong proficiency in Power BI, including DAX and data modeling, and familiarity with Salesforce reporting. Knowledge of SQL and database management; familiarity with Snowflake is a plus. Excellent leadership and team management skills. Strong analytical and problem-solving abilities. Effective communication and presentation skills. Bachelor's degree in Business Intelligence, Data Science, Computer Science, or a related field. Benefits & Work Environment: Competitive salary and benefits package tailored for employees in India. Flexible work environment with opportunities for professional growth. Supportive, inclusive company culture that promotes collaboration and innovation. Access to necessary tools, company-provided laptop, and software resources.

Job Description: Job Title: Coverage Support Specialist, AS Location: Pune/ Bangalore, India Role Description The Client Coverage Global COO office has responsibility for the global sales management, handles business development projects across all regions and organizes the divisions workforce management. The main customer relationships and the strategic development of the Client Coverage Division are coordinated here. About DWS: Today, markets face a whole new set of pressures - but also a whole lot of opportunities too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. We re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. That s why we are Investors for a new now . As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients financial future. And in return, we ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As Coverage Support Analyst, you will focus on supporting activities, which are mainly centered around ensuring the delivery of our Coverage Support deliverables across EMEA. In this context, the tasks of the Coverage Support Analyst are quite diverse and may include (but are not limited to): Manage, maintain and develop key reports for sales processes, utilizing different internal tools and ensure data accuracy and integrity across systems Resolve invoicing issues, handle invoice-related queries and prepare regular reports and summaries of invoicing activity Respond to various requests/inquiries from EMEA Relationship Managers Solve operational issues and participate in special projects to improve and increase operational efficiencies and enhance operational accuracy in the coverage support operations Ability to assess theoretical problems and break them into manageable work packages Manage stakeholder expectations and develop/nurture long-term relationships Your skills and experience Bachelor and/or Masters degree. 2-3 years of working experience in Financial Industry is preferred. Strong analytical skills with an ability to understand/ dissect complex problems; strategic and creative thinking aptitude. Proficient in using excel data visualization, data analysis; automation experience is a plus. Collaborative problem solver focusing on outcomes and strong project management skills. Comfortable working in a multi-dimensional/fast-paced environment. Excellent stakeholder management and communication skills to clearly articulate ideas, issues and solutions. Excellent communication skills in English (written and verbal), German minimum B2 is preferred Excellent Microsoft Word/Excel/PowerPoint skill is essential. How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams https://www. db. com/company/company. htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

Req ID: 332956 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 SQL Developer to join our team in Bangalore, Karn?taka (IN-KA), India (IN), Strong SQL Knowledge to develop complex queries Strong Data extraction skill with ETL Tools knowledge Strong Data cleansing, validation, pre process for structured and un structured data Strong Insurance report creation, Visualization, Dashboards, Analysis and Analytics Strong Life Insurance knowledge Strong profiency in tools like SQL, EXL, R, Python 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 NTT DATA endeavors to make https://us nttdata 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 /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

What Youll Need BS or MS degree in Computer Science, Engineering, or a related technical field Strong SQL skills 6+ years of experience working with event instrumentation, data pipelines, and data warehouses, preferably acting as a data architect in a previous role Proficiency with systems design and data modeling Fluency with workflow management tools, like Airflow or dbt Experience with modern data warehouses, like Snowflake or BigQuery Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements Familiarity with data visualization tools such as Mode, Tableau, and Looker Familiarity with programming skills, preferably in Python Familiarity with software design principles, including test-driven development About the Role Analytics Platform is on a mission to democratize learning by building systems that enable company-wide analytics and experimentation. By implementing sufficient instrumentation, designing intuitive data models, and building batch/streaming pipelines, we will allow for deep and scalable investigation and optimization of the business. By developing self-serve tools, we will empower executives, PMs, Marketing leadership & marketing managers to understand company performance at a glance and uncover insights to support decision making. Finally, by building capabilities such as forecasting, alerting, and experimentation, we will enable more, better, and faster decisions. What Youll Do Drive direct business impact with executive-level visibility Design technical architecture and implement components from the ground up as we transition to event-based analytics Work on the unique challenge of joining a variety of online and offline data sets, not just big data Learn and grow Data Science and Data Analytics skills (we sit in the same org!) Opportunity to grow into a Tech Lead/Manager, and mentor junior team members as we quickly grow the team Partner with infrastructure and product engineers to instrument our backend services and end-to-end user journeys to create visibility for the rest of the business Design, develop and monitor scalable and cost-efficient data pipelines and build out new integrations with third-party tools Work with data analysts and data scientists to design our data models as inputs to metrics and machine learning models Establish the best practices for data engineering Assess build vs buy tradeoffs for components in our company-wide analytics platform, which will inform decision-making for executives, PMs and Ops, etc. Opportunity to be founding member of the Data Engineer team based out of IN. Will have the autonomy to help shape the vision, influence roadmap and establish best practices for the team

About The Role Skill required: Business Reporting & Governance - Reporting Analytics Designation: Measurement & Report Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years What would you do You will be aligned with our Customer Support vertical and help us in managing/ resolving customers query, handling escalations and complaints of the dissatisfied customers & giving best resolutions. You will also be responsible for closing the fault and complaints within SLA s.Responsible for gathering and documenting requirements, designing, tracking, reporting and analyzing key organizational and operational reports. This position coordinates across client and internal teams to provide metrics and reporting to support the organization. This role also coordinates the efforts of a global team that supports the various analytics and reporting functions. Prepare management reports and analysis, both recurring and ad-hoc. It focuses on tracking business performance through trusted data and insights while actively managing employee behaviors. What are we looking for Establish and nurture rapport with clients that is conducive to a long-term business relationship Manage performance of assigned functional areas and personnel through metrics that address quantitative, qualitative, and fiscal key performance indicators (KPIs) as well as personnel productivity Drive efficiency with accuracy on reporting Continually offer input to innovate processes, systems, organization and culture Develop effective relationships with key executives and managers to gain/maintain a deep understanding of projects, client activities and business priorities Provide leadership and assume responsibility for key support services including, but not limited to contact center support, training, procurement support services and production support services Prioritize and manage multiple complex projects within time, technical and resource constraints Provide written documentation to appropriate team members and client addressing each facet of implementation for every project, to include an overall rollout plan, timelines, and project assignments Provide advanced problem solving, troubleshooting and system consultation to clients Coordinate client resources and assign project tasks At least 10+ years of progressive leadership experience in business process outsourcing Bachelors degree (or equivalent experience) Data Visualization experience Power bi (must have) Strong oral and written communication skills supporting a required ability to articulate clear ideas and strategies Excellent presentation skills and comfort in leading groups Ability to interact effectively at all levels, both internally and externally Ability to negotiate effectively delivering win-win results Strong analytical, problem solving, and project management skills Computer literacy to include advanced capabilities in tools such as Excel, pivot tables, and other web-based applications Excellent & consistent follow through skills Ability to understand and drive improvement of processes Ability to multi-task and meet critical deadlines in a fast-paced environmentBig Data Analytics P3 - Advanced Metrics and Predictive Analytics P3 - Advanced Operations Management P3 - Advanced Process Improvement P3 - Advanced Quality Assurance P3 - Advanced SLA (Service-Level Agreement) Management P3 - Advanced Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Proactively identify and orchestrate prompt resolution of internal and client issues Manage the development, creation and distribution of all operational and fiscal business reporting both internal and client facing Provide guidance and mentoring to client services and analysts team and other personnel Develop & coach team members to perform & exceed expectations. Continuous OptimizationImplement robust review processes to ensure reports provide meaningful insights and are not redundant.Automation JourneyEnhance the automation of reporting processes, ensuring future-proof solutions that can be scaled globally.Rethink OutputsDevelop reports that deliver clear, concise information and actionable insights, helping stakeholders understand the underlying data. Support and Evaluate AutomationCollaborate with the data team to leverage their expertise and validate customer data, ensuring accuracy and relevance. Global CollaborationFoster a collaborative environment where team members work together to decide priorities and tasks, adapting to changes and evolving needs. Qualification Any Graduation

Roles & Responsibilities: The Senior Tech Lead specializing in Analytics and Visualization leads the design, development, and optimization of data visualization solutions Lead the design and implementation of analytics and visualization solutions using tools like Power BI and Tableau Architect and optimize dashboards and reports for performance, scalability, and user experience Provide technical leadership and mentorship to a team of data analysts and visualization experts Collaborate with stakeholders to define project requirements and ensure alignment with business goals Ensure best practices in data visualization, governance, and security. Troubleshoot and resolve complex technical issues in analytics and visualization environments Strong Experience on Presales, RFP responses, customer connects Requirements: Strong Experience in data preparation, BI projects to understand business requirements in BI context and understand data model to transform raw data into meaningful insights in Power BI Design, develop, test, and deploy reports in Power BI Strong exposure to Visualization, transformation and data analysis Connecting to data sources, importing data and transforming data for Business Intelligence. Good Exposure to DAX queries in Power BI desktop. Experience in publishing and scheduling Power Bi reports /Tableau Should have knowledge and experience in prototyping, designing, and requirement analysis. Sound knowledge of database management, SQL querying, data warehousing, business intelligence, and OLAP(Online Analytical Processing) Must have Solutioning and presales experience. Primary Skills Power BI and Secondary Skill - Tableau Total Experience Range: - 11 - 20 Yrs Our Offering: Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment. Wellbeing programs & work-life balance - integration and passion sharing events. Attractive Salary and Company Initiative Benefits Courses and conferences. Attractive Salary. Hybrid work culture.

Job Description: Data Analyst Seeking a highly skilled Data Analyst who will be responsible for transforming data into actionable insights that drive business growth and operational improvements. The ideal candidate will work with diverse data sources to identify trends, generate reports, and develop practical use cases based on their findings. Key Responsibilities: • Business Understanding: Collaborate with stakeholders to gather and comprehend business requirements. • Data Management: Collect, clean, and preprocess data from multiple sources, ensuring accuracy and completeness. • Exploratory Data Analysis (EDA): Conduct EDA to uncover trends, patterns, and anomalies within datasets. • Statistical Analysis: Apply statistical techniques to analyze data and derive meaningful insights. • Use Case Development: Develop actionable use cases based on insights and validate them with stakeholders. • Data Visualization: Create compelling data visualizations, reports, and dashboards to effectively communicate insights to stakeholders. • Collaboration: Work closely with business stakeholders to develop data-driven solutions that meet organizational needs. • Implementation Support: Assist in the implementation of developed use cases. Qualifications: • Bachelors degree in Computer Science, Statistics, Mathematics, or a related field • 5+ years of experience in data analysis or a related field • Strong proficiency in programming languages such as Python and R • Experience with data visualization tools such as Power BI • Excellent analytical, problem-solving, and communication skills Nice to Have: • Certification in data analysis or a related field • Experience with machine learning models and algorithms • Knowledge of cloud-based data platforms such as AWS or Google Cloud • Familiarity with agile project management methodologie

Technical specifications 7+ years of experience in managing Data & Analytics service delivery, preferably within a Managed Services or consulting environment. Experience in managing support for modern data platforms across Azure, Databricks, Fabric, or Snowflake environments. Strong understanding of data engineering and analytics concepts, including ELT/ETL pipelines, data warehousing, and reporting layers. Experience in ticketing, issue triaging, SLAs, and capacity planning for BAU operations. Hands-on understanding of SQL and scripting languages (Python preferred) for debugging/troubleshooting. Proficient with cloud platforms like Azure and AWS; familiarity with DevOps practices is a plus. Familiarity with orchestration and data pipeline tools such as ADF, Synapse, dbt, Matillion, or Fabric. Understanding of monitoring tools, incident management practices, and alerting systems (e.g., Datadog, Azure Monitor, PagerDuty). Circulation Limited: Internal Version 1.0 June 2025 2 Strong stakeholder communication, documentation, and presentation skills. Experience working with global teams and collaborating across time zones. 3.1 Responsibilities Serve as the primary owner for all managed service engagements across all clients, ensuring SLAs and KPIs are met consistently. Continuously improve the operating model, including ticket workflows, escalation paths, and monitoring practices. Coordinate triaging and resolution of incidents and service requests raised by client stakeholders. Collaborate with client and internal cluster teams to manage operational roadmaps, recurring issues, and enhancement backlogs. Lead a >40 member team of Data Engineers and Consultants across offices, ensuring high- quality delivery and adherence to standards. Support transition from project mode to Managed Services including knowledge transfer, documentation, and platform walkthroughs. Ensure documentation is up to date for architecture, SOPs, and common issues. Contribute to service reviews, retrospectives, and continuous improvement planning. Report on service metrics, root cause analyses, and team utilization to internal and client stakeholders. Participate in resourcing and onboarding planning in collaboration with engagement managers, resourcing managers and internal cluster leads. Act as a coach and mentor to junior team members, promoting skill development and strong delivery culture. 3.2 Required Skillset: ETL or ELT: Azure Data Factory, Databricks, Synapse, dbt (any two Mandatory). Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone Mandatory). Data Visualization: Looker, Power BI, Tableau (Basic understanding to support stakeholder queries). Cloud: Azure (Mandatory), AWS or GCP (Good to have). SQL and Scripting: Ability to read/debug SQL and Python scripts. Monitoring: Azure Monitor, Log Analytics, Datadog, or equivalent tools. Ticketing & Workflow Tools: Freshdesk, Jira, ServiceNow, or similar. DevOps: Containerization technologies (e.g., Docker, Kubernetes), Git, CI/CD pipelines (Exposure preferred). 3.3 Behavioural Competencies: At JMAN, we expect our team members to embody the following: Self-Driven & Proactive Own delivery and service outcomes, ensure proactive communication, and manage expectations confidently. Circulation Limited: Internal Version 1.0 June 2025 3 Adaptability & Resilience Thrive in a high-performance, entrepreneurial environment and navigate dynamic challenges effectively. Operational Excellence Be process-oriented and focused on SLA adherence, documentation, and delivery consistency. Agility & Problem Solving Adapt quickly to changing priorities, debug effectively, and escalate when needed with clarity. Commitment & Engagement Ensure timesheet compliance, attend meetings regularly, follow company policies, and actively participate in org-wide initiatives. Teamwork & Collaboration Share knowledge, support colleagues, and contribute to talent retention and team success. Professionalism & Continuous Improvement Maintain a professional demeanour and commit to ongoing learning and self-improvement. Mentoring & Knowledge Sharing Guide and support junior team members, fostering a culture of continuous learning and professional growth. Advocacy & Organizational Citizenship Represent JMAN positively, uphold company values, respect others, and honour commitments, including punctuality and timely delivery.

Role Overview: Skyhigh Security is hiring a Business Intelligence Developer to join our Engineering Excellence organization. Reporting to the VP of Engineering Excellence, youll play a key role in helping the company measure, visualize, and optimize software delivery performance by integrating data from across the engineering toolchain and building actionable, insightful dashboards. About the Role Skyhigh Security is hiring a Business Intelligence Developer to join our Engineering Excellence organization. Reporting to the VP of Engineering Excellence , youll play a key role in helping the company measure, visualize, and optimize software delivery performance by integrating data from across the engineering toolchain and building actionable, insightful dashboards. Working alongside engineering teams, DevOps, and engineering-quality leaders, youll design and implement dashboards that surface DORA metrics and other critical indicators of engineering velocity, quality, and stability. Your work will provide engineering leaders and teams with the visibility they need to drive continuous improvement, reduce bottlenecks, and increase delivery confidence. This role combines deep technical BI skills with an understanding of software development workflows . You will own the integration of data from tools like Jira, GitHub, Jenkins, and CI/CD pipelines , and apply your expertise in SQL, Python, and visualization tools to transform raw data into insights that matter. Responsibilities: Design and build dashboards that track DORA metrics and other Agile delivery KPIs. Integrate data from developer tools (e.g., Jira, GitHub, CI/CD platforms) via APIs, webhooks, and ETL pipelines. Define data models and transformations to support clear, reliable visualizations. Partner with engineering leaders to define metric strategies aligned to business and technical outcomes. Ensure reporting solutions are scalable, accurate, and tailored to various stakeholder needs. Requirements: Strong skills in SQL and Python for data processing and integration. Hands-on experience with Tableau , EazyBI , Power BI , or similar tools. Deep understanding of DORA metrics , Agile metrics, and engineering performance indicators. Familiarity with toolchain APIs (e.g., Jira, GitHub, Jenkins, ArgoCD) and ETL practices. Strong data modeling and storytelling skills with a focus on clarity and actionability.

Role & responsibilities Design, develop, and deploy Power BI solutions and dashboards. Gather and analyze business requirements to translate them into effective reporting solutions. Create and manage data models, perform DAX queries, and design data visualizations. Ensure data accuracy and integrity in reports and dashboards. Troubleshoot data issues and optimize report performance. Collaborate with stakeholders to define KPIs and reporting metrics. Maintain documentation and conduct knowledge sharing sessions as required. Preferred candidate profile Strong expertise in Power BI (Power BI Desktop, Power BI Service, DAX). Working knowledge of Windows Operating System. Experience with data transformation using Power Query and connecting to various data sources. Preferred Skills Basic understanding of SQL, Excel, and data warehousing concepts. Familiarity with other BI tools or scripting languages is a plus.

Role & responsibilities Collect, analyze, and manage data from various departments to prepare daily, weekly, and monthly reports. Maintain and update dashboards, trackers, and performance reports. Develop and automate Excel-based reports using advanced formulas, pivot tables, charts, and macros. Generate business insights from data and support decision-making. Coordinate with internal teams to gather data and ensure timely and accurate reporting. Ensure data accuracy, consistency, and integrity across reports and MIS systems. Identify reporting gaps and suggest process improvements. Preferred candidate profile Strong command of MS Excel (VLOOKUP, HLOOKUP, Pivot Tables, Charts, Macros). Knowledge of PowerPoint and data visualization tools (e.g., Power BI preferred). Good analytical and problem-solving skills. Attention to detail and ability to work under deadlines. Basic knowledge of SQL (optional but preferred). Educational Qualification: Graduate in any discipline. MIS/Data Analysis certification (if any) will be an added advantage.