Senior Data Engineer Analyst

As a Senior Analyst-Data Engineer at AstraZeneca, you will play a crucial role in transforming sophisticated medical data into clear decisions that advance significant progress for patients. You will be based in Chennai, collaborating with a team to build a new medical data foundation that powers insights, analytics, and AI across different regions and medical specialties. Your responsibilities include standardizing metrics, resolving data conflicts, and delivering timely dedication that Medical leaders trust to act on. Key Responsibilities: - Conduct medical data analysis and reporting using Excel, Power Query, SQL, and Python to answer high-priority Medical questions and advise decisions. - Build robust and reusable data structures by integrating inputs from various sources. - Deliver insightful Power BI dashboards using DAX aligned to standard Medical metrics and benchmarks. - Automate the process of integrating manually collected and external data to support repeatable reporting and analytics at scale. - Own key decisions on schemas, transformations, and calculations to ensure performance, maintainability, and scalability across markets and therapeutic areas. - Coordinate data quality and lineage, implement global integrity and consistent reporting, and resolve issues with platform and data owners. - Identify and source datasets to validate business rules and requirements, reconcile discrepancies, and establish single sources of truth. - Bring together feedback, develop requirements, and propose improvements to reporting, platforms, and metric capabilities. - Support Medical data products and platforms to ensure accurate refreshes, diligent pipelines, and high trust in outputs. - Partner with Medical and multi-functional teams to tailor analytics to specific needs and drive adoption. Qualifications Required: - Quantitative bachelors degree in Engineering, Statistics, Applied Math, Computer Science, Data Science, Economics, or related field. - 5+ years of experience in data management systems, including data warehouses, data lakes, and data mesh architectures. - Proficiency in SQL, Power BI, Excel/Power Query, and Python for data wrangling/automation. - Good understanding of data quality practices, lineage, and documentation. - Excellent communication and collaborator management skills. - Ability to define user stories, collaborate in agile sprints, and advocate for user-centric design in analytics products. - Proven track record in investigating data issues, reconciling discrepancies, and producing actionable recommendations. At AstraZeneca, your data craft fuels real-world impact for patients. You will work in an innovative, fast-moving, collaborative environment where unexpected teams come together to fuel ambitious thinking. By connecting strategy with hands-on delivery, you will help reinvent how the enterprise works, contributing to better outcomes for patients and society. If you are ready to build scalable medical analytics that leaders rely on and patients benefit from, step forward and shape the future with us! As a Senior Analyst-Data Engineer at AstraZeneca, you will play a crucial role in transforming sophisticated medical data into clear decisions that advance significant progress for patients. You will be based in Chennai, collaborating with a team to build a new medical data foundation that powers insights, analytics, and AI across different regions and medical specialties. Your responsibilities include standardizing metrics, resolving data conflicts, and delivering timely dedication that Medical leaders trust to act on. Key Responsibilities: - Conduct medical data analysis and reporting using Excel, Power Query, SQL, and Python to answer high-priority Medical questions and advise decisions. - Build robust and reusable data structures by integrating inputs from various sources. - Deliver insightful Power BI dashboards using DAX aligned to standard Medical metrics and benchmarks. - Automate the process of integrating manually collected and external data to support repeatable reporting and analytics at scale. - Own key decisions on schemas, transformations, and calculations to ensure performance, maintainability, and scalability across markets and therapeutic areas. - Coordinate data quality and lineage, implement global integrity and consistent reporting, and resolve issues with platform and data owners. - Identify and source datasets to validate business rules and requirements, reconcile discrepancies, and establish single sources of truth. - Bring together feedback, develop requirements, and propose improvements to reporting, platforms, and metric capabilities. - Support Medical data products and platforms to ensure accurate refreshes, diligent pipelines, and high trust in outputs. - Partner with Medical and multi-functional teams to tailor analytics to specific needs and drive adoption. Qualifications Required: - Quantitative bachelors degree in Engineering, Sta