4009 Powerbi Jobs - Page 15

Arrowsight Private Limited (APL) is hiring a highly experienced Senior/Lead BI Engineer with 8+ years of expertise in designing and developing scalable Business Intelligence solutions. The ideal candidate should have good knowledge of Power BI dashboard design, data modeling, SQL development, and Power BI Service administration . Additionally, they should possess strong Power Automate skills , enabling workflow automation, and solid SQL DBA expertise , including database administration, backup strategies, stored procedures, triggers, SSMS, SSIS, and SSRS . We’re particularly interested in real-world Power BI dashboard examples showcasing the candidate’s ability to present data effectively and drive decision-making. Responsibilities Design, develop, and maintain interactive Power BI dashboards and reports that provide actionable insights. Work closely with stakeholders to gather requirements and translate them into effective data visualizations . Develop and optimize SQL queries, stored procedures, and triggers to enhance data efficiency. Provide SQL database administration support , including backup, performance optimization, and recovery strategies . Implement automated workflows using Power Automate to streamline business processes. Manage and administer Power BI Service , including data gateways, workspace security, and report distribution . Offer Power BI architectural solutions , ensuring scalability and performance optimization of DAX queries and data models . Support Azure administration tasks related to Power BI data sources and deployment. Oversee data security, governance, and compliance within Power BI. Guide and mentor junior SQL & Power BI developers , promoting best practices. Ensure data quality, ETL processes, and effective integration with SSIS and other data tools. Qualifications 8+ years of relevant experience in Power BI dashboard and report development . Strong proficiency in SQL , including stored procedures, triggers, and query optimization. Expertise in Power BI Robots or similar BI automation tools. Hands-on experience with Power Automate to automate workflows effectively. In-depth Power BI Service administration knowledge, including workspace management and data gateway configurations. Experience working with SSMS, SSIS, and SSRS . Strong understanding of Power BI architecture , including DAX optimization and data modeling strategies . Ability to mentor junior developers and establish best practices in BI development. PL-300 certification (Microsoft Power BI Data Analyst) is mandatory . Bachelor’s degree in computer science , Information Technology, or a related field is required. Send in your resumes / profile summaries to apljobs@arrowsight.com

As the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets, Arcadis is dedicated to improving the quality of life with the power of many curious minds. With over 36,000 employees in more than 70 countries, everyone plays an important role in solving the world's most complex challenges and delivering impactful solutions together. Qualifications and Experience: - Bachelor's or Master's degree in Math, Statistics, Computer Science, Engineering, or a related technical field. - Minimum of 5 years of experience in Data engineering with Python\R. - Proficiency in SQL, MS-SQL Server, or other relational databases. - Experience with Azure Cloud Service, AWS, or Google Cloud Service (Optional). - Knowledge of API automated Data extraction pipeline. - Experience in developing and maintaining integrated visualization reports in PowerBI (Optional). - Familiarity with software deployment project lifecycle phases - requirements gathering, planning, testing, delivery, enhancements, and support. - Project Management experience is preferred. - Excellent communication skills and fluency in English at a professional level. Key Skills / Attributes: - Strong analytical and problem-solving skills with a keen attention to detail. - Self-motivated and team-oriented, capable of working independently or within a team. - Ability to address new challenges, take ownership of tasks, and drive to succeed and grow in Project/Program Management. Principal Duties & Key Responsibilities: - Independently or collaboratively solve data problems with unstructured data. - Collaborate with team members and other disciplines to meet project requirements. - Complete allocated activities independently to meet timeframe and quality objectives. - Develop effective materials for clients to convey messages clearly. - Contribute to Arcadis Global Communities of Practice relevant to Project Management, Data Visualization, and Power Platform. - Contribute to the Digital Advisory community of practice by developing integrated solutions embedding GEC capabilities into core advisory business. Data Engineering, Management, and Visualization: - Manipulate, transform, and analyze raw, large, and complex data sets. - Plan, gather, analyze, and document user and business information. - Integrate technical knowledge with business/systems requirements. - Produce written deliverables including requirement specifications, process mapping, technical design, and more. - Collect and organize data for analytical reporting, data warehouse reports, spreadsheets, and databases. - Strong database concepts, data modeling, stored procedures, query writing, and performance optimization of SQL queries. - Create automated data extraction pipeline from various sources like API and databases in various formats. - Problem-solving and solution-driven mindset with the ability to innovate within project constraints. Join Arcadis, where everyone's contribution matters, and a skills-based approach empowers individuals to maximize their impact and carve their career path. Be part of delivering sustainable solutions for a more prosperous planet and create a lasting legacy together. Join Arcadis. Create a Legacy.,

The Impact You'll Make As our Senior Business Analyst, you will be instrumental in gathering, consolidating, and analyzing extensive data in preparation for the development of Sales and Finance tools and dashboards. Utilize Power BI to visualize data through charts and dashboards, delivering actionable insights that facilitate data-driven decision-making within the sales and finance sectors. Construct data models in Databricks to empower a data-driven Finance organization. What You’ll Be Doing Lead in depth analysis across Sales and Finance datasets to derive essential business insights. Design and maintain extensive dashboards using Power BI for real-time KPI monitoring. Collaborate with Divisional and Central Supply Chain teams to comprehend data requirements and provide tailored insights and solutions. Ensure the integrity, standardization, and cleanliness of data across all systems. Employ Python for data analysis, automation, and application development. Develop and manage solutions utilizing Databricks and the Microsoft Power Platform (including Power BI, Power Apps, and Power Automate). Troubleshoot and resolve technical issues related to SQL, Python, AI, and the Power Platform. Construct a narrative addressing the business problem, root cause, potential solutions, and opportunities through data visualization, including reports and dashboards. Remain informed about the latest analytical and digital tools, techniques, and trends, and propose innovative methods to enhance Sales and Finance processes. Analyze complex, large volumes of sometimes contradictory information to effectively resolve issues. What We're Looking For Professional Degree with Data Science or Data Analysis Major / Computer science degree Experience and / or basic knowledge of working within an agile environment (SCRUM) Proficient in creating PowerBI reports: Advanced data visualization techniques to create clear, interactive and visually appealing reports Mastering complex DAX formulas Data modeling to ensure performance of the reports ETL process understanding to connect from various databases (mainly Azure databricks) Proficient in SQL including advanced query techniques: Common Table Expressions CTE Window functions advanced joins subqueries Python fundamentals required (advanced is a plus) Experience in enterprise database design and concepts MS – Azure Databricks experience is a plus (willingness to deep dive into it is a must) Excellent communication and presentation skills on various levels (connection to Group IT and Product Owners but also to End-users Being a “sparring partner” to the Product Owner (new ideas, improvement suggestions) high collaborative working style Excellent time management and resilience to work under pressure Keen to learn new things What You'll Get from Us We promote from within and support your learning with mentoring, training, and access to global opportunities. You’ll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us. We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are. You’ll receive benefits like 13th salary, annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they’re worth asking about—we think they’re pretty great. Ready to Make a Difference? If this role excites you, we’d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.

As a WebFOCUS Development Engineer, your responsibilities will involve designing, developing, testing, and deploying WebFOCUS reports, dashboards, and visualizations. Additionally, you will be tasked with creating and managing WebFOCUS procedures (.fex), metadata layers, and reporting cubes. You will play a crucial role in building and maintaining ReportCaster schedules for automated report distribution. Collaboration with business users and product managers to gather requirements and deliver insights is a key aspect of this position. Data analysis, data modeling, and report optimization are also integral parts of your responsibilities. You will be required to write clear and effective functional and technical documentation. Furthermore, you will participate in solution architecture discussions and offer technical recommendations to enhance processes. Ensuring report performance, access security, and high-quality user experiences will be a vital part of your role. To excel in this position, you must possess at least 3-7 years of experience in WebFOCUS development. A strong command of App Studio, InfoAssist, and Developer Studio is essential. Excellent verbal and written communication skills are crucial for effective interaction with team members and stakeholders. Expertise in WebFOCUS metadata modeling, report/cube development, ReportCaster configuration and scheduling, WebFOCUS security design, sign-on integration, proficiency in SQL, and working with relational databases are all necessary skills. Additionally, knowledge of PowerBI, Microsoft Fabric, and familiarity with Azure Services is highly desirable. A strong understanding of JavaScript, HTML5, CSS, and strong analytical and problem-solving abilities are also important for this role. You should have the ability to engage directly with end-users for dashboard design and troubleshooting. It would be advantageous to have familiarity with Azure Services like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Information Systems, or a related field.,

As a Project Manager at Hitachi Energy, you will be responsible for managing projects end to end with a focus on quality of delivery and process efficiency. Your role will involve tracking and controlling project timelines, resource allocation, identifying and mitigating risks, and being accountable for communication management. Additionally, you will be developing and managing strategic solutions for process improvements and back-office support for standard operations. You will work directly with the India HR Delivery lead to drive initiatives/projects across HR Ops Service lines and collaborate with SEA & MEA Fos in HR Ops to drive standardization, streamlining, and automation initiatives. Your responsibilities will also include working with extended leadership and other key stakeholders in managing service delivery, capacity management, and key performance metrics. Leading kick-off meetings for large/complex assignments and global projects to ensure a comprehensive understanding of client/stakeholder requirements will be part of your role. You will also work with the India HR delivery lead on strategies to achieve defined business objectives/targets, including determining control standards and identifying issue escalation matrix. In addition to stakeholder management and running initiatives/projects across India (BGL) Center, you will focus on enhancing technical and personnel effectiveness through training, education, and coaching. Implementing various quality, technology, automation, and standardization initiatives to enhance operational efficiency and ongoing PMO tasks will also be key aspects of your responsibilities. To be successful in this role, you should have a Bachelor's/Post Graduate degree with 8-10+ years of work experience, hands-on experience in project management, proficiency in data analysis, and project management of multiple projects. Effective stakeholder management, understanding of consulting solutions, risk and escalation management, and reporting of operational metrics are also required skills. Advanced knowledge of MS Excel, MS Word, Power Point, PowerBI, and the ability to apply technology tools to provide unique solutions are essential. You should be adept at improving technology and its application, working effectively with project teams, and maintaining colleague data. Excellent communication, listening, planning, analytical, and critical thinking skills are crucial, along with problem-solving, decision-making, and adaptability. In-depth knowledge of project management practices and proficiency in spoken and written English language are necessary for this role. Hitachi Energy values safety and integrity, and you will be expected to take responsibility for your actions while caring for your colleagues and the business. If you are a qualified individual with a disability requiring accessibility assistance during the job application process, you may request reasonable accommodations by completing a general inquiry form on the Hitachi Energy website. Please include your contact information and specific details about the required accommodation to support you throughout the application process.,

The ideal candidate for this position should possess a strong expertise in programming/scripting languages and a proven ability to debug challenges across various Operating Systems. A certification in the relevant specialization is required along with a proficiency in using designing and automation tools. In addition, the candidate should have excellent knowledge of CI and agile frameworks. Moreover, the successful candidate must demonstrate strong communication, negotiation, networking, and influencing skills. Stakeholder management and conflict management skills are also essential for this role. The candidate should be proficient in setting up tools/infrastructure, defect metrics, and traceability metrics. A solid understanding of CI practices and agile frameworks is necessary. Furthermore, the candidate should be able to promote a strategic mindset to ensure the use of the right tools and coach and mentor the team to follow best practices. Expertise in Big Data and Hadoop ecosystems is required, along with the ability to build real-time stream-processing systems on large Scala data. Proficiency in data ingestion frameworks/data sources and data structures is also crucial for this role. The profile required for this position includes 10+ years of expertise and hands-on experience in Spark with Scala and Big data technologies. The candidate should have a good working experience in Scala and object-oriented concepts, as well as in HDFS, Spark, Hive, and Oozie. Technical expertise with data models, data mining, and partitioning techniques is also necessary. Additionally, hands-on experience with SQL databases and a good understanding of CI/CD tools such as Maven, Git, Jenkins, and SONAR are required. Knowledge of Kafka and ELK stack is a plus, and familiarity with data visualization tools like PowerBI will be an added advantage. Strong communication and coordination skills with multiple stakeholders are essential, along with the ability to assess existing situations, propose improvements, and follow up on action plans. In conclusion, the ideal candidate should have a professional attitude, be self-motivated, a fast learner, and a team player. The ability to work in international/intercultural environments and interact with onsite stakeholders is crucial for this role. If you are looking to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis, and develop or strengthen your expertise, you will find a perfect fit in this position.,

The ideal candidate for this position should have previous experience in building data science/algorithms based products, which would be a significant advantage. Experience in handling healthcare data is also desired. An educational qualification of Bachelors/Masters in computer science/Data Science or related subjects from a reputable institution is required. With a typical experience of 7-9 years in the industry, the candidate should have a strong background in developing data science models and solutions. The ability to quickly adapt to new programming languages, technologies, and frameworks is essential. A deep understanding of data structures and algorithms is necessary. The candidate should also have a proven track record of implementing end-to-end data science modeling projects and providing guidance and thought leadership to the team. Experience in a consulting environment with a hands-on attitude is preferred. As a Data Science Lead, the primary responsibility will be to lead a team of analysts, data scientists, and engineers to deliver end-to-end solutions for pharmaceutical clients. The candidate is expected to participate in client proposal discussions with senior stakeholders and provide technical thought leadership. Expertise in all phases of model development, including exploratory data analysis, hypothesis testing, feature creation, dimension reduction, model training, selection, validation, and deployment, is required. A deep understanding of statistical and machine learning methods such as logistic regression, SVM, decision tree, random forest, neural network, and regression is essential. Mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and their practical implementation to solve business problems is necessary. The candidate should also be able to implement ML models in an optimized and sustainable framework and gain business understanding in the healthcare domain to develop relevant analytics use cases. In terms of technical skills, the candidate should have expert-level proficiency in programming languages like Python/SQL, along with working knowledge of relational SQL and NoSQL databases such as Postgres and Redshift. Extensive knowledge of predictive and machine learning models, NLP techniques, deep learning, and unsupervised learning is required. Familiarity with data structures, pre-processing, feature engineering, sampling techniques, and statistical analysis is important. Exposure to open-source tools, cloud platforms like AWS and Azure, and AI tools like LLM models and visualization tools like Tableau and PowerBI is preferred. If you do not meet every job requirement, the company encourages candidates to apply anyway, as they are dedicated to building a diverse, inclusive, and authentic workplace. Your excitement for the role and potential fit may make you the right candidate for this position or others within the company.,

We are seeking a dynamic Learning Solutions Trainer to join our team at S.G.K Skill Solutions. If you possess a strong knowledge of MS-Excel, excellent communication skills, and the ability to effectively manage a crowd, we are interested in hearing from you! Your responsibilities will include developing and delivering training programs on finance, accounting, and business acumen topics utilizing tools such as MS-Excel, PowerBI, and Tableau. Additionally, you will provide support to Marketing and Branding initiatives, oversee trainee progress and performance, create and maintain training materials, collaborate with team members to ensure a cohesive learning experience, stay updated on industry trends and changes in accounting regulations, and evaluate the effectiveness of training programs for continuous improvement. If you are passionate about finance, accounting, and related education, and possess the skills to inspire and motivate others, we encourage you to apply to become a part of our team at S.G.K Skill Solutions. About Company: We are a group of passionate and qualified professionals dedicated to providing customized, high-impact learning solutions in finance, marketing, business, data analytics, and AI for workplace readiness.,

As a Digital Innovation Solutions Lead at Novartis Healthcare Private Limited, you will be responsible for exploring, developing, implementing, and evaluating digital innovation solutions that cater to customer needs. You will collaborate with key stakeholders to establish partnerships and collaborations, lead the delivery of multiple projects across various creative and marketing channels, and coordinate project plans to ensure successful delivery within set KPIs. Working closely with brand teams, technical teams, and all functions, you will aim to maximize value and provide consultancy on product commercialization strategies. In this role based in Hyderabad, you will be tasked with optimizing roadmap prioritization based on operational data, conducting value story design and analysis, articulating use cases and user stories, gathering requirements, documenting processes in JIRA, and ensuring project documentation is maintained. You will synthesize internal operational performance data to identify areas for process improvement, report project KPIs, manage user testing, maintain detailed documentation, prepare reports, and leverage various data sources to uncover opportunities for enhancement. The role also entails visualizing data using tools like PowerBI, ensuring operational data democratization and accountability, and presenting balanced recommendations in collaboration with various teams within the organization. Essential requirements for this position include a 4-year degree, 4+ years of experience working with technology partners, proficiency in using Microsoft tools and data analysis platforms, and familiarity with new-generation technologies and trends. Novartis is committed to fostering diversity and inclusion in the workplace, creating an inclusive environment, and building diverse teams reflective of the patients and communities served. The company also offers accessibility and accommodation to individuals with disabilities, providing reasonable accommodation throughout the recruitment process and in job roles as needed. If you are passionate about making a difference in the healthcare industry and thrive in a collaborative environment, consider joining Novartis Healthcare Private Limited's team of dedicated professionals. For more information about Novartis and the opportunities available, visit our website: https://www.novartis.com/about/strategy/people-and-culture. If you are ready to contribute to impactful breakthroughs and work alongside a community of talented individuals, explore career opportunities within the Novartis network: https://talentnetwork.novartis.com/network. To learn about the benefits and rewards offered by Novartis, refer to our handbook: https://www.novartis.com/careers/benefits-rewards. If you are looking to be part of a dynamic team focused on driving innovation in healthcare, this role at Novartis Healthcare Private Limited may be the perfect fit for you.,

The Operations Risk & Regulatory Control (ORRC) Division is a global team responsible for Operational Risk & Regulatory Governance, reporting, oversight, and support for Operational Risk Management. An opportunity exists within the Operations Risk Governance (ORG) team, a global risk function within ORRC focused on ensuring risk governance and reporting, promoting risk culture, and enhancing operational risk mitigation strategies. As a member of ORG, you will be tasked with ensuring that adequate controls are in place to mitigate Operational Risk across Operations and safeguard the firm from such risks. You will also report to Senior Management on operational risk issues, assist in embedding an Operational Risk culture throughout Operations to promote transparency and disclosure, and promote best practices to help Operations manage Operational Risk effectively while meeting the requirements of senior management and regulators. Your primary responsibilities will include handling Operations Risk Reporting for Asia Operations, monitoring and overseeing risks, providing support and managing risk incidents, key risk indicators (KRIs), open issues/actions, and collaborating with global/regional leads to manage and liaise with regional stakeholders for the smooth rollout and implementation of various risk agendas such as Regulatory Remediations, Risk and Control Self-Assessments, Material Operational Risk Event Deep Dives, and Operational Control Framework Implementations. Additionally, you will efficiently manage a team of professionals, ensuring adequate supervisory coverage. To be successful in this role, you should have over 7 years of experience in Operational processes and Operational Risk management within the financial industry, a good understanding of regulatory environment/banking/financial regulations, and regimes. You should be proactive, dependable, self-motivated, possess good communication/presentation/interpersonal skills, and interact effectively with global and regional teams. Strong project management and execution skills, the ability to work under tight timelines, and track team initiatives consistently are essential. Proficiency in MS Office (Word, Excel, PPT) and experience with digital tools like PowerBI, Alteryx, Tableau, UiPath, etc., would be advantageous. At Morgan Stanley, we are committed to maintaining first-class service and high standards of excellence. Our values of putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back guide our daily decisions. We offer an opportunity to work alongside talented individuals in a supportive and empowering environment. Our teams are known for being relentless collaborators and creative thinkers, driven by diverse backgrounds and experiences. We provide comprehensive employee benefits and perks, as well as opportunities for career advancement for those who demonstrate passion and dedication in their work. To learn more about our global offices, please visit https://www.morganstanley.com/about-us/global-offices. Morgan Stanley is an equal opportunities employer dedicated to providing a supportive and inclusive environment where all individuals can maximize their potential. Our workforce comprises individuals from diverse backgrounds, talents, perspectives, and experiences, reflecting a variety of global communities. We are committed to a culture of inclusion, focusing on recruiting, developing, and advancing individuals based on their skills and talents.,

Role : Data Engineer (ETL SQL, Data modeling with AWS/Azure) Location: Bangalore Full/ Part-time: Full Time. Build a Career With Confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. About The Role Looking for SQL Developer with ETL background and AWS OR Azure cloud platform experience. Job Description Design, develop, and implement scalable and efficient data warehouse solutions on cloud platforms using Azure Fabric, AWS Redshift etc, Create and optimize data models to support business reporting and analytical needs. Integration using ETL Tools like Azure Data Factory etc. Write complex SQL queries, stored procedures, and functions for data manipulation and analysis. Implement data quality checks and validation processes to ensure data accuracy and integrity. Monitor and optimize data warehouse performance, including query tuning, indexing, and data partitioning strategies. Identify and troubleshoot data-related issues, ensuring data availability and reliability. Collaborate with data architects, data engineers, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions. Analytical Skills: Strong problem-solving, analytical, and critical thinking skills. Preferred Skills & Tools For This Role Are Experience of 7 to 10 years in the below mentioned skill sets Cloud Platforms: Azure (Data Factory, Azure Fabric, SQL DB, Data Lake), AWS (RedShift)—Any Azure tools OR AWS Databases: Postgres SQL OR MSSQL ETL Tools: Azure Data Factory OR Any ETL Tool Experience.- Languages: Expert level proficiency in T-SQL, Python.—TSQL AND PYTHON BI Tools: Power BI or similar—POWERBI OR TABLEAU OR SPOTFIRE Version Control & DevOps: Azure DevOps, Git.—any of these is preferred Benefits We are committed to offering competitive benefits programs for all our employees and enhancing our programs when necessary. Make yourself a priority with flexible schedules, parental leave. Drive forward your career through professional development opportunities. Achieve your personal goals with our Employee Assistance Programme. Our Commitment To You Our greatest assets are the expertise, creativity, and passion of our employees. We strive to provide a great place to work that attracts, develops, and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback, and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference. Apply Now! Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Job Applicant's Privacy Notice Click on this link to read the Job Applicant's Privacy Notice

Preferred Skills: Experience in MLOps practices and tools. Proven track record of leading technical teams and projects. Strong problem-solving skills and attention to detail. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in technology or solution architecture, with a focus on data engineering, AI-ML and GenAI based solutions. Strong leadership and communication skills. Key Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Experience in ML algorithms, NLP, GenAI based solutions Supervised, Unsupervised, Reinforcement learning Collaborate with data scientists and engineers to support ML model training, evaluation, and deployment. Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP Apply advanced MLOps practices to streamline model deployment, monitoring, and lifecycle management. Required Skills: Proficiency in Python for data processing, automation tasks, and model development. Strong understanding of ML model training, evaluation, and deployment. Proficiency in GenAI based solution development. Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP. Experience in python-based web application for AI-ML use cases Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management

Why Choose Ideas2IT Ideas2IT has all the good attributes of a product startup and a services company. Since we launch our products, you will have ample opportunities to learn and contribute. However, single-product companies stagnate in the technologies they use. In our multiple product initiatives and customer-facing projects, you will have the opportunity to work on various technologies. AGI is going to change the world. Big companies like Microsoft are betting heavily on this (see here and here). We are following suit. As a Data Engineer, exclusively focus on engineering data pipelines for complex products What’s in it for you? A robust distributed platform to manage a self-healing swarm of bots onunreliable network / compute Large-scale Cloud-Native applications Document Comprehension Engine leveraging RNN and other latest OCR techniques Completely data-driven low-code platform You will leverage cutting-edge technologies like Blockchain, IoT, and Data Science as you work on projects for leading Silicon Valley startups. Your role does not start or end with just Java development; you will enjoy the freedom to share your suggestions on the choice of tech stacks across the length of the project If there is a certain technology you would like to explore, you can do your Technical PoCs Work in a culture that values capability over experience and continuous learning as a core tenet Here’s what you’ll bring Proficiency in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, SQL Server).Experience in any one of the cloud environments – AWS, Azure Experience with data modeling, data warehousing, and building ETL pipelines. Experience building large-scale data pipelines and data-centric applications using any distributed storage platform Experience in data processing tools like Pandas, pyspark. Experience in cloud services like S3, Lambda, SQS, Redshift, Azure Data Factory, ADLS, Function Apps, etc. Expertise in one or more high-level languages (Python/Scala) Ability to handle large-scale structured and unstructured data from internal and third-party sources Ability to collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision-making across the organization Experience with data visualization tools like PowerBI, Tableau Experience in containerization technologies like Docker , Kubernetes About Us Ideas2IT stands at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially conceived as a CTO consulting firm, we've evolved into thought leaders in cutting-edge technologies such as Generative AI, assisting our clients in embracing innovation. Our forte lies in applying technology to address business needs, demonstrated by our track record of developing AI-driven solutions for industry giants like Facebook, Bloomberg, Siemens, Roche, and others. Harnessing our product-centric approach, we've incubated several AI-based startups—including Pipecandy, Element5, IdeaRx, and Carefi. in—that have flourished into successful ventures backed by venture capital. With fourteen years of remarkable growth behind us, we're steadfast in pursuing ambitious objectives. P.S. We're all about diversity, and our doors are wide open to everyone. Join us in celebrating the awesomeness of differences!

Job Role As a Data Engineer, you'll build and maintain data pipelines and architectures.Responsibilities include optimizing databases and ETL processes, using Python or SQL,and collaborating with data teams for informed decision-making. Why Choose Ideas2IT Ideas2IT has all the good attributes of a product startup and a services company. Since we launch our products, you will have ample opportunities to learn and contribute. However, single-product companies stagnate in the technologies they use. In our multiple product initiatives and customer-facing projects, you will have the opportunity to work on various technologies. AGI is going to change the world. Big companies like Microsoft are betting heavily on this (see here and here). We are following suit. As a Data Engineer, exclusively focus on engineering data pipelines for complex products What’s in it for you? A robust distributed platform to manage a self-healing swarm of bots onunreliable network / compute Large-scale Cloud-Native applications Document Comprehension Engine leveraging RNN and other latest OCR techniques Completely data-driven low-code platform You will leverage cutting-edge technologies like Blockchain, IoT, and Data Science as you work on projects for leading Silicon Valley startups. Your role does not start or end with just Java development; you will enjoy the freedom to share your suggestions on the choice of tech stacks across the length of the project If there is a certain technology you would like to explore, you can do your Technical PoCs Work in a culture that values capability over experience and continuous learning as a core tenet Here’s what you’ll bring Proficiency in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, SQL Server).Experience in any one of the cloud environments – AWS, Azure Experience with data modeling, data warehousing, and building ETL pipelines. Experience building large-scale data pipelines and data-centric applications using any distributed storage platform Experience in data processing tools like Pandas, pyspark. Experience in cloud services like S3, Lambda, SQS, Redshift, Azure Data Factory, ADLS, Function Apps, etc. Expertise in one or more high-level languages (Python/Scala) Ability to handle large-scale structured and unstructured data from internal and third-party sources Ability to collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility, and foster data-driven decision-making across the organization Experience with data visualization tools like PowerBI, Tableau Experience in containerization technologies like Docker , Kubernetes

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking an experienced MDM Engineer with 8–12 years of experience to lead development and operations of our Master Data Management (MDM) platforms, with hands-on experience in data engineering experience. This role will involve handling the backend data engineering solution within MDM team. This is a technical role that will require hands-on work. To succeed in this role, the candidate must have strong Data Engineering experience. Candidate must have experience on technologies like (SQL, Python, PySpark, Databricks, AWS, API Integrations etc). Roles & Responsibilities: Develop distributed data pipelines using PySpark on Databricks for ingesting, transforming, and publishing master data Write optimized SQL for large-scale data processing, including complex joins, window functions, and CTEs for MDM logic Implement match/merge algorithms and survivorship rules using Informatica MDM or Reltio APIs Build and maintain Delta Lake tables with schema evolution and versioning for master data domains Use AWS services like S3, Glue, Lambda, and Step Functions for orchestrating MDM workflows Automate data quality checks using IDQ or custom PySpark validators with rule-based profiling Integrate external enrichment sources (e.g., D&B, LexisNexis) via REST APIs and batch pipelines Design and deploy CI/CD pipelines using GitHub Actions or Jenkins for Databricks notebooks and jobs Monitor pipeline health using Databricks Jobs API, CloudWatch, and custom logging frameworks Implement fine-grained access control using Unity Catalog and attribute-based policies for MDM datasets Use MLflow for tracking model-based entity resolution experiments if ML-based matching is applied Collaborate with data stewards to expose curated MDM views via REST endpoints or Delta Sharing Basic Qualifications and Experience: 8 to 13 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced proficiency in PySpark for distributed data processing and transformation Strong SQL skills for complex data modeling, cleansing, and aggregation logic Hands-on experience with Databricks including Delta Lake, notebooks, and job orchestration Deep understanding of MDM concepts including match/merge, survivorship, and golden record creation Experience with MDM platforms like Informatica MDM or Reltio, including REST API integration Proficiency in AWS services such as S3, Glue, Lambda, Step Functions, and IAM Familiarity with data quality frameworks and tools like Informatica IDQ or custom rule engines Experience building CI/CD pipelines for data workflows using GitHub Actions, Jenkins, or similar Knowledge of schema evolution, versioning, and metadata management in data lakes Ability to implement lineage and observability using Unity Catalog or third-party tools Comfort with Unix shell scripting or Python for orchestration and automation Hands on experience on RESTful APIs for ingesting external data sources and enrichment feeds Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications : Any MDM certification (e.g. Informatica, Reltio etc) Any Data Analysis certification (SQL, Python, PySpark, Databricks) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. GCF Level 05A

Role Summary : The Compensation Process Optimization & Systems Manager is responsible for: Driving efficiency and accuracy of the global compensation infrastructure, data, tools and systems by leveraging automation, technology, and process enhancements Planning, execution, and optimization of the annual compensation, benchmarking and survey submission cycles through process automation, data management, and system integration Serve as a partner to the Compensation & Benefits teams, ensuring their needs are met through efficient systems, tools, and data-driven insights Where needed, create dashboards and reporting tools to provide insight / visibility into compensation metrics and trends, forecasting, budgeting and modelling, facilitating better and faster decision-making Roles & Responsibilities : Annual Benchmarking Process Manage participation in and submission to benchmarking surveys, and correct upload into internal benchmarking systems Manage annual vendor selection in close collaboration with Compensation Leads and the Total Rewards Infrastructure Lead Assess benchmarking results to identify trends and areas for improvement, recommend adjustments and support rollout of adjustments Increase automated benchmarking by automating survey benchmark matching, driving benchmarking system improvements and data & insights Model salary structures Manage the development of country compensation budgets Update and improve compensation modelers based on latest insights & up to date benchmarking information 2.Annual Compensation Cycle Management Collaborate in the planning, coordination, and execution of the annual compensation cycle and be an active member of the Annual Compensation Cycle Coalition Team Collaborate closely with Finance to align fully loaded cost modeling with compensation scenarios, ensuring accurate budget forecasting and accruals Collaborate in and implement timelines, testing, tools, and communication plans Collaborate with Compensation Leads and HR Technology to ensure the compensation cycle runs smoothly and data integrity is maintained. 3. Automation & System Optimization Lead the identification, evaluation, and implementation of tools and technologies that improve the efficiency, consistency, automation and governance of compensation-related recurring tasks (salary structures, survey matching, benchmarking, retention, manual calculations, offer management etc.) Be part of the Technology Roadmap Coalition team to enhance the configuration and functionality of compensation modules within the company's systems. 4. Process Improvement Review, map, and optimize current compensation processes to identify opportunities for process improvement, automation, and increased efficiency Implement best practices in workflow automation to ensure compensation processes are streamlined, repeatable, and scalable. 5. Data Management & Integrity Ensure accuracy and integrity of compensation data by improving data management processes, building validation mechanisms, and automating data reconciliation Create dashboards and reporting tools to provide visibility into compensation metrics and trends, facilitating better decision-making in close collaboration with the Total Rewards Automation & Technology Manager 6. Project Management Manage and oversee automation and process improvement projects within the compensation function, from concept to implementation Develop project plans, timelines, and budgets to ensure successful and timely execution of initiatives 7. Training & Change Management Develop training materials and conduct training sessions for HR and compensation team members on new automated processes, tools, and systems Lead change management initiatives to ensure successful adoption of new tools and processes by stakeholders 8. Compliance & Risk Management Ensure that automated processes are compliant with legal, regulatory, and company-specific requirements (e.g., data privacy, FLSA, pay equity laws) Implement controls and validation checks within automated systems to minimize errors and reduce risk Minimum Requirements : Bachelor’s degree or similar qualification in Human Resources, Information Technology, Business Administration, or a related field Minimum of 8 years of experience in compensation, HRIS (preferably with Workday), or process improvement, with a strong focus on automation and technology implementation Experience with data analytics tools and software (Tableau, Python, PowerBI, Visier and others) Experience with HR systems and compensation software (e.g., Workday) and knowledge of compensation processes / benchmarking processes Project management skills, with a proven track record of leading automation and process improvement initiatives Advanced Excel skills, with experience in building and managing data models, as well as proficiency in data analysis and reporting tools Strong attention to detail, with a focus on data integrity and quality Excellent communication and stakeholder management skills Experience in change management and delivering training programs to ensure successful adoption of new processes and tools

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary We are seeking a highly skilled Senior Data Engineer Developer with 5+ years of experience to join our talented team in Bangalore. In this role, you will be responsible for designing, implementing, and optimizing data pipelines, ETL processes, and data integration solutions using Python, Spark, SQL, Snowflake, dbt, and other relevant technologies. Additionally, you will bring strong domain expertise in operations organizations, with a focus on supply chain and manufacturing functions. If you're a seasoned data engineer with a proven track record of delivering impactful data solutions in operations contexts, we want to hear from you. Responsibilities Lead the design, development, and optimization of data pipelines, ETL processes, and data integration solutions using Python, Spark, SQL, Snowflake, dbt, and other relevant technologies. Apply strong domain expertise in operations organizations, particularly in functions like supply chain and manufacturing, to understand data requirements and deliver tailored solutions. Utilize big data processing frameworks such as Apache Spark to process and analyze large volumes of operational data efficiently. Implement data transformations, aggregations, and business logic to support analytics, reporting, and operational decision-making. Leverage cloud-based data platforms such as Snowflake to store and manage structured and semi-structured operational data at scale. Utilize dbt (Data Build Tool) for data modeling, transformation, and documentation to ensure data consistency, quality, and integrity. Monitor and optimize data pipelines and ETL processes for performance, scalability, and reliability in operations contexts. Conduct data profiling, cleansing, and validation to ensure data quality and integrity across different operational data sets. Collaborate closely with cross-functional teams, including operations stakeholders, data scientists, and business analysts, to understand operational challenges and deliver actionable insights. Stay updated on emerging technologies and best practices in data engineering and operations management, contributing to continuous improvement and innovation within the organization. All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities. Preferred Experience/Education/Skills Bachelor's degree in Computer Science, Engineering, Operations Management, or related field. 5+ years of experience in data engineering, with proficiency in Python, Spark, SQL, Snowflake, dbt, and other relevant technologies. Strong domain expertise in operations organizations, particularly in functions like supply chain and manufacturing. Strong domain expertise in life sciences manufacturing equipment, with a deep understanding of industry-specific challenges, processes, and technologies. Experience with big data processing frameworks such as Apache Spark and cloud-based data platforms such as Snowflake. Hands-on experience with data modeling, ETL development, and data integration in operations contexts. Familiarity with dbt (Data Build Tool) for managing data transformation and modeling workflows. Familiarity with reporting and visualization tools like Tableau, Powerbi etc. Good understanding of advanced data engineering and data science practices and technologies like pypark, sagemaker, cloudera MLflow etc. Experience with SAP, SAP HANA and Teamcenter applications is a plus. Excellent problem-solving skills, analytical thinking, and attention to detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and operations stakeholders. Eagerness to learn and adapt to new technologies and tools in a fast-paced environment. We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

HackerOne is a global leader in offensive security solutions. Our HackerOne Platform combines AI with the ingenuity of the largest community of security researchers to find and fix security, privacy, and AI vulnerabilities across the software development lifecycle. The platform offers bug bounty, vulnerability disclosure, pentesting, AI red teaming, and code security. We are trusted by industry leaders like Amazon, Anthropic, Crypto.com, General Motors, GitHub, Goldman Sachs, Uber, and the U.S. Department of Defense. HackerOne was named a Best Workplace for Innovators by Fast Company in 2023 and a Most Loved Workplace for Young Professionals in 2024. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Data Engineer, Enterprise Data & AI Location: Pune, India This role requires the candidate to be based in Pune and work from an office 4 days a week. Please only apply if you're okay with these requirements. *** Position Summary HackerOne is seeking a Data Engineer, Enterprise Data & AI to join our DataOne team. You will lead the discovery, architecture, and development of high-impact, high-performance, scalable source of truth data marts and data products. Joining our growing, distributed organization, you'll be instrumental in building the foundation that powers HackerOne's one source of truth. As a Data Engineer, Enterprise Data & AI, you'll be able to lead challenging projects and foster collaboration across the company. Leveraging your extensive technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward. DataOne democratizes source-of-truth information and insights to enable all Hackeronies to ask the right questions, tell cohesive stories, and make rigorous decisions so that HackerOne can delight our Customers and empower the world to build a safer internet . The future is one where every Hackeronie is a catalyst for positive change , driving data-informed innovation while fostering our culture of transparency, collaboration, integrity, excellence, and respect for all . What You Will Do Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies. Within 60 days, you will deliver impact on a company level with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products. Within 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts. Deliver impact by developing the roadmap for continuously and iteratively launching high-impact, high-performance, scalable source of truth data marts and data products, and by leading and delivering cross-functional product and technical initiatives. Be a technical paragon and cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating your squad, and designing solutions to ambiguous business challenges, in a fast-paced early-stage environment. Drive continuous evolution and innovation, the adoption of emerging technologies, and the implementation of industry best practices. Champion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company. Provide technical leadership and mentorship, fostering a culture of continuous learning and growth. Minimum Qualifications 5+ years experience as an Analytics Engineer, Business Intelligence Engineer, Data Engineer, or similar role w/ proven track record of launching source of truth data marts. 5+ years of experience building and optimizing data pipelines, products, and solutions. Must be flexible to align with occasional evening meetings in USA timezone. Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS. Strong proficiency in at least one data programming language such as Python or R. Expert in SQL for data manipulation in a fast-paced work environment. Expert in using Git for version control. Expert in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI. Proven track record of having substantial impact across the company, as well as externally for the company, demonstrating your ability to drive positive change and achieve significant results. English fluency, excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats. Passion for working backwards from the Customer and empathy for business stakeholders. Experience shaping the strategic vision for data. Experience working with Agile and iterative development processes. Preferred Qualifications Experience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice. Proven track record of driving innovation, adopting emerging technologies and implementing industry best practices. Thrive on solving for ambiguous problem statements in an early-stage environment. Experience designing advanced data visualizations and data-rich interfaces in Figma or equivalent. Compensation Bands: Pune, India ₹3.7M – ₹4.6M Offers Equity Job Benefits: Health (medical, vision, dental), life, and disability insurance* Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Flexible Work Stipend Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

About Boomi And What Makes Us Special Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more. About The Role We are looking for dynamic, detail-oriented and data driven professionals to join our newly established advisory team in Bangalore, India. Partnering with Customer Success and Account Managers, this team will play a pivotal role in strategic business development by scaling operational and high value engagements for our global customer base. The Advisors in this role will focus on supporting Operational Reviews, Quarterly Business Reviews (QBRs), and Value Assessments (VAs) by demonstrating qualitative and quantitative benefits of the Boomi platform to various stakeholders within a customer’s IT organization. They will possess strong data acumen to product data, platform usage, adoption trends, and value metrics to create insights-driven customer deliverables that focus on enabling informed decision-making and continuous optimization of their Boomi implementation. Key Responsibilities Data Preparation and Analysis: Extract and analyze platform usage, adoption trends, and value metrics to create insights-driven customer deliverables. Prepare data-backed presentations by collaborating with Customer Success and Account Managers highlighting usage trends, platform benefits, cost savings and maturity assessments. Operational Support for Reviews: Prepare slides and data points for Monthly Adoption Reviews and QBRs. Collaborate with account teams to tailor content based on customer-specific needs. Value Assessments: Conduct structured value assessments to showcase the business outcomes achieved through Boomi. Develop and curate findings tied to documented outcomes using reference metrics like cost avoidance and ROI. Insights and Contextual Updates: Provide commentary on trends, usage updates, and contextualized feature recommendations based on customer activity and platform changes as well as industry trends and point of views. Scalable Processes: Work on a mix of automated and augmented processes to ensure consistent high-value engagement across accounts. Leverage tools and processes to streamline data-driven insights and support scaled success initiatives. Standardize best practices for adoption and value realization discussions. Requirements Experience 11+ years of background in Customer Success, Advisory, Data or Business Analysis, or related roles. Proficiency in data analysis and creating presentations for executive-level discussions. Analytical mindset with attention to detail and the ability to contextualize data into actionable insights. Excellent collaboration, communication and organizational skills to work with cross-functional teams. Familiarity with SaaS platforms and value realization methodologies including tools like PowerBI/Tableau, Gainsight, Salesforce and business intelligence platforms Knowledge of cost optimization and ROI analysis in technology solutions. Qualifications Education: Bachelor’s degree or diploma in fields such as Business Administration, Computer Science, Information Systems, or related disciplines. Certifications Have or achieve full Boomi Developer, Architect, and Administrator certifications within the first two months of employment. Certifications in Data Analysis or Data Science vocational courses Why Join Us? This is an exciting opportunity to shape a new team and directly contribute to scaling Boomi’s Customer Success operations globally. You will play a critical role in driving measurable value for customers and enabling their long-term success with the Boomi platform. Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities. All employment decisions are based on business needs, job requirements, and individual qualifications. Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries.

Description The Retail Business Services (RBS) group is an integral part of Amazon's online product life-cycle and supports buying operations. The team’s primary role is to support the creation and enhancement of retail selection on the worldwide Amazon online catalog. The tasks handled by this group can impact online user experience. The successful Subject Matter Expert is a problem-solver, mentor and communicator with expertise in process optimizations and systems thinking. You will engage directly with multiple internal teams to drive business projects for the RBS team. You will utilize a wide range of skills and work on operational quality to independently drive the performance improvement projects. In this role you will be focused on improving the experience and satisfaction of Amazon customers (vendors/vendor managers/end customer), root cause analysis of issues and opportunities affecting the business. Key job responsibilities Develop strategies for continuous improvement in process and customer quality. Strengthen the existing process by ensuring identification of automation and upstream defect elimination opportunities. Drive process excellence initiatives, drive Kaizen events and work on new automation / solution building projects Able to drill into large amounts of data and extract meaningful business metrics. Perform data analysis on trends observed and recommend solutions to the product and Business teams Collaborate with partner teams and stakeholders across the globe to deliver on key business goals and objectives by driving consensus and building trust Demonstrates the ability to dive deep into a problem, perform root cause and corrective actions to avoid defect reoccurrence. Establishes key reports for functional area Able to write , well-structured and detail-oriented documents in a clear, concise and audience-specific format The Candidate Is/has Aptitude and interest for Upstream Defect Elimination. Ability to identify, prioritize and coordinate work streams as necessary including prioritizing, scheduling, time management, and meeting deadlines High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision About The Team The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience. Basic Qualifications 1+ years of program or project management experience Experience using data to influence business decisions 1+ years of interacting with customers/stake holders experience Bachelor's degree Knowledge of MS office. Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. Preferred Qualifications Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience back office operations, escalation management and troubleshooting environments Experience working in e-commerce / retail / supply chain / financial services business Worked in a global client facing role. Six sigma green belt certified ISO 9001 lead auditor certified Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3008389

Summary About the role: The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. The primary responsibility of this role is to effectively manage and analyze large volumes of data, with the aim of extracting valuable insights. The ideal candidate should possess exceptional analytical skills, as well as the ability to manipulate and interpret complex datasets using a variety of technologies, including programming languages. Additionally, the candidate should be able to foster strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. About the Role Key Requirements: Data Analysis: Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. Data Validation, Cleaning and Preprocessing: Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity Data Visualization: Present findings in a clear and concise manner through the use of charts, graphs, and other visualizations. Enable users to easily understand and interpret the data through effective visual representations. Ad-hoc Data Analysis: Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. Collaboration: Collaborate closely with cross-functional teams, including business analysts, data engineers, and data scientists, to understand their requirements and provide data-driven solutions. Foster effective teamwork and communication to deliver optimal outcomes. Storytelling : Generate insights from the data and communicate them to the key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on the processes, products or business. Documentation: Develop and maintain documentation related to data analysis processes and procedures. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. Continuous Improvement: Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, ensuring they align with industry best practices. Essential Requirements: Strong analytical skills with the ability to manipulate and interpret large datasets. Knowledge of statistical techniques and data mining algorithms. Proficiency in programming languages (example - Python language). Strong SQL with aptitude for learning other analytics tools Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. Effective communication skills to present findings to both technical and non-technical stakeholders Desirable Requirements: 5+ years extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage Bachelor’s or Master’s degree in a relevant field such as mathematics, statistics, economics, or computer science. strong written and verbal communication skills Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Finance Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Audit & Finance Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Role Summary : The Compensation Process Optimization & Systems Manager is responsible for: Driving efficiency and accuracy of the global compensation infrastructure, data, tools and systems by leveraging automation, technology, and process enhancements Planning, execution, and optimization of the annual compensation, benchmarking and survey submission cycles through process automation, data management, and system integration Serve as a partner to the Compensation & Benefits teams, ensuring their needs are met through efficient systems, tools, and data-driven insights Where needed, create dashboards and reporting tools to provide insight / visibility into compensation metrics and trends, forecasting, budgeting and modelling, facilitating better and faster decision-making Roles & Responsibilities : 1.Annual Benchmarking Process Manage participation in and submission to benchmarking surveys, and correct upload into internal benchmarking systems Manage annual vendor selection in close collaboration with Compensation Leads and the Total Rewards Infrastructure Lead Assess benchmarking results to identify trends and areas for improvement, recommend adjustments and support rollout of adjustments Increase automated benchmarking by automating survey benchmark matching, driving benchmarking system improvements and data & insights Model salary structures Manage the development of country compensation budgets Update and improve compensation modelers based on latest insights & up to date benchmarking information 2.Annual Compensation Cycle Management Collaborate in the planning, coordination, and execution of the annual compensation cycle and be an active member of the Annual Compensation Cycle Coalition Team Collaborate closely with Finance to align fully loaded cost modeling with compensation scenarios, ensuring accurate budget forecasting and accruals Collaborate in and implement timelines, testing, tools, and communication plans Collaborate with Compensation Leads and HR Technology to ensure the compensation cycle runs smoothly and data integrity is maintained. 3. Automation & System Optimization Lead the identification, evaluation, and implementation of tools and technologies that improve the efficiency, consistency, automation and governance of compensation-related recurring tasks (salary structures, survey matching, benchmarking, retention, manual calculations, offer management etc.) Be part of the Technology Roadmap Coalition team to enhance the configuration and functionality of compensation modules within the company's systems. 4. Process Improvement Review, map, and optimize current compensation processes to identify opportunities for process improvement, automation, and increased efficiency Implement best practices in workflow automation to ensure compensation processes are streamlined, repeatable, and scalable. 5. Data Management & Integrity Ensure accuracy and integrity of compensation data by improving data management processes, building validation mechanisms, and automating data reconciliation Create dashboards and reporting tools to provide visibility into compensation metrics and trends, facilitating better decision-making in close collaboration with the Total Rewards Automation & Technology Manager 6. Project Management Manage and oversee automation and process improvement projects within the compensation function, from concept to implementation Develop project plans, timelines, and budgets to ensure successful and timely execution of initiatives 7. Training & Change Management Develop training materials and conduct training sessions for HR and compensation team members on new automated processes, tools, and systems Lead change management initiatives to ensure successful adoption of new tools and processes by stakeholders 8. Compliance & Risk Management Ensure that automated processes are compliant with legal, regulatory, and company-specific requirements (e.g., data privacy, FLSA, pay equity laws) Implement controls and validation checks within automated systems to minimize errors and reduce risk Minimum Requirements : Bachelor’s degree or similar qualification in Human Resources, Information Technology, Business Administration, or a related field Minimum of 8 years of experience in compensation, HRIS (preferably with Workday), or process improvement, with a strong focus on automation and technology implementation Experience with data analytics tools and software (Tableau, Python, PowerBI, Visier and others) Experience with HR systems and compensation software (e.g., Workday) and knowledge of compensation processes / benchmarking processes Project management skills, with a proven track record of leading automation and process improvement initiatives Advanced Excel skills, with experience in building and managing data models, as well as proficiency in data analysis and reporting tools Strong attention to detail, with a focus on data integrity and quality Excellent communication and stakeholder management skills Experience in change management and delivering training programs to ensure successful adoption of new processes and tools

Summary Job Description Summary Provide analytics support to Novartis US sales and Marketing teams on various Business Intelligence reporting and Data Visualization projects. Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics and faster generation of insights using data visualization. About the Role Key Responsibility: Provide business intelligence, analytics and insights support that drive Field, Home Office and Enterprise reporting and data visualization for Novartis US Create and deliver field excellence reports and insights as per agreed SLAs (timeliness, accuracy, quality, etc.) and drive excellent customer service Design, develop and/or maintain Power BI based dashboards solutions that optimize field excellence activities based on country commercial excellence needs through variety of evolving infrastructure landscape Have a growth mindset, and be open to enhance the skillset through learning new data modelling tools as per the available business needs Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of reporting services Create and maintain standard operating procedures (SOPs), and quality checklists that will enable excellent quality outputs for all deliverables within the function Essential Requirement: Minimum 5+ years of hands-on experience in data visualization in PowerBI is required Exposure to create reporting / visualization products for Field Users and Commercial Leadership teams and solid foundation of Pharma domain (commercial analytics) Basic to intermediate knowledge of Microsoft excel, Powerpoint, SQL, ETL tools and other Visualization tools like QlikSense is preferred Enable standardization of processes through process documentation, and timely maintenance of knowledge repositories. Facilitate data enabled decision making and execution for Novartis internal stakeholders by providing techno-functional expertise in short-term and long-term sales operations and strategy Contribute to stakeholder teams by involving oneself in various initiatives like knowledge sharing, on-boarding and training support. Project management and ability to delivery independently with less oversight. Should be able to guide analysts/sr. analysts in the team for delivery Good presentation skills and Interpersonal and communication skills. Desirable Requirements : Bachelor’s / master’s degree/other advanced degree in Lifesciences or Pharmaceutical sciences & MBA degree is preferred Previous knowledge and experience of pharma / life sciences industry is preferred, Learning agility and ability to manage multiple stakeholders Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Overview: Execute Business Insights & Analytics responsibilities (for PepsiCo Europe Beverages team) as part of the broader GCC function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by contributing to the Europe Beverages team while also working alongside the consumer marketing team to provide an integrated holistic overview to the business. Primary responsibilities include creating/updating existing dashboards, Excel/Power BI reports, delivering periodic and on-demand brand reporting, and addressing ad-hoc requests based on internal and external data sources. The role will have short-term responsibilities for knowledge transfer from the business and flawless delivery of recurring reports. Once established, the role will execute optimization of the data-based Insights & Analytics processes, including ad hoc questions and overall automation of delivery where applicable.. Responsibilities: Build Strong Business Insights & Analytics Execute market, portfolio, brand & promotion campaign performance reporting (utilizing dashboards, templated decks, and reporting tools) Analyze & Report category, brand & promotion performance drivers, and optimization opportunities Bring impactful insights for the BU by integrating & leveraging multiple data sources such as Internal Sales, Agency (RMS, HHP etc) Translate complex data findings into actionable insights and strategic recommendations for decision-making. Assist the team in analysing marketing expenses & budgets for better utilization of marketing investments Manage Ad-hoc & follow up deep-dives into the Data to address tactical performance issues & challenges Collaborate with stakehokders to develop analysis and reports offering strategic plans. Build strong Data Processing & Automation Integrate & Optimize Data sets & Reporting system to manage heavy data processing for routine reporting Explore Automation opportunities with Higher focus on developing significant Insights for the Marketing Teams Speed up the Business Intelligence & Insights for timely & impactful decision making Help on implementing and automating Pan Europe Quarterly Business Reviews Implement innovative solutions to enhance data analysis capabilities and efficiency. Qualifications: 7-8 years of experience in Analytics with exposure to Global Fortune 500 FMCG companies Ability to work and think independently Good analytics and insights experience - end-to-end understanding of the best research approach Can synthesize multiple, disparate data sources into compelling growth strategies. Formulates a strong POV and can articulate future scenarios and is an exceptional story-teller. Strong collaborator; Interested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets or brands; will be willing and able to embrace Responsive Ways of Working Proven analytics, data research experience, consumer insights experience or commercial experience in combination with strong analytical skills Good degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen (POS and HH panel), Kantar Worldpanel Deep understanding of FMCG industry business performance outputs and causal measures, their relationships, and how to bring business performance insights to life visually Proficient with PowerPoint and Advanced Excel; including ability to write complex formulas Ability to create macros and dashboards in Excel Good to have Experience: PowerBI and statistical analysis tool(s) Operational experience from business servicing sector and/or consulting experience would be a plus Fluent English communication skills Excellent communication skills, confident and credible with senior stakeholders Strong story-telling and presentation skills to turn data into impactful insight and brand strategy that can drive the business forward.

Work Flexibility: Hybrid What you will do: Must be able to drive different analytics initiatives in close collaboration with the business leaders Must be able to develop mathematical / analytical models for resolving complex business problems Should be fully adept on process mapping and lead six sigma tools to provide the process realignment support prior to analytics solutioning Must be able to create dashboards / applications using Power Apps, SSIS, Power BI, Alteryx, MS-Access and advanced excel Must be able to design & develop custom report and provide inferential analysis Must have working knowledge on Azure data engineering tools e.g. Databricks, Azure data factory, Synapse Analytics, Logic Apps etc. Must have a good understanding on supply chain basics and provide support in solutioning for a given supply chain problem statement Should be able to pick up new tools and technologies e.g. Python, ML, Azure data factories etc. Exposure of Azure Dev Ops/JIRA for Agile project management Must be fully qualified and have delivered analytical solutions using Business Intelligence (BI) tools, R, Python, SQL Coding, Java Coding, data crunching, advanced excel modeling, VBA coding & macro writing What you will need: Build new tools in close collaboration with the business SMEs and ensure a successful deployment Project/Program management of analytics projects with ADO Lead and Own an Analytics area and ensure product adoption for the respective area Must be able to identify key business metrics (Financial & Operational) and populate them on regular basis Must be able to communicate with different stakeholders at various levels within Stryker for collating the monthly KPI reporting data Should be able to deliver the analytics trainings across organization on different tools like powerBI, excel, MS Access etc. to steer an analytics driven culture Travel Percentage: 10%