AstraZeneca
Healthcare
SeniorAnalyst-DataEngineer
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“Senior Analyst-Data Engineer at AstraZeneca. Skills: Data Engineering, Data Analysis, Business Intelligence, Data Governance. Build custom reports. Run custom reports”
Industry & Context.
Investigate data issues; Reconcile discrepancies; Produce actionable recommendations
What They're Looking For.
Must Have
Quantitative bachelor’s degree, 5+ years of experience, Proficient with SQL, Data management systems experience, Data warehouses experience, Data lakes experience, Data mesh architectures experience, Power BI experience, Python for data wrangling experience, Data quality practices knowledge, Data lineage knowledge, Data documentation knowledge, Superb communication ability, Collaborator ability, Define user stories ability, Agile advocate ability, User centric design advocate ability, Investigate data issues ability, Reconcile discrepancies ability, Produce actionable recommendations ability
Nice to Have
Databricks experience, AWS S3 experience, Redshift experience, Power Apps experience, Building data models experience, Familiarity with data pipelines, Familiarity with scheduling for automated refresh, Pharmaceutical data domain understanding, Medical/Scientific data domains understanding, Veeva platforms familiarity, Metric standardisation exposure, Taxonomy/ontology usage exposure, Semantic models exposure, Partnering with multiple collaborators experience, Compliance-aware analytics practices comfort
What You'll Do.
Build standard reports
Answer high-priority Medical questions
Build robust data structures
Build reusable data structures
Integrate inputs from various origins
Deliver insightful Power BI dashboards
Align to standard Medical metrics
Align to standard benchmarks
Automate data integration
Integrate manually collected data
Integrate external data
Support repeatable reporting
Support analytics at scale
Own key decisions on schemas
Own key decisions on transformations
Own key decisions on calculations
Ensure maintainability
Implement global integrity
Implement consistent reporting
Resolve issues with platform owners
Resolve issues with data owners
Validate business rules
Reconcile discrepancies within systems
Reconcile discrepancies across systems
Establish single sources of truth
Bring together feedback
Propose improvements to reporting
Propose improvements to platforms
Propose improvements to metric capabilities
Increase business value
Support Medical data products
Support Medical platforms
Ensure accurate refreshes
Ensure diligent pipelines
Ensure high trust in outputs
Partner with Medical teams
Partner with multi-functional teams
Tailor analytics to specific needs
Build exchanged opinions of definitions
Build exchanged opinions of metrics
How You'll Work.
Team & Collaboration
Medical collaborators; Multi-functional teams; Cross-functional teams; Agile teams
Communication Scope
Translate Medical needs; Deliver concise insights
Process & Methodology
Agile, User stories
Full Job Description
**Job Ti****tle: Senior Analyst-Data Engineer** **Career Level: D1** **Introduction to role:** Are you ready to transform sophisticated medical data into clear decisions that advance significant progress for patients? Based in Chennai, you will join a team building a new medical data foundation that powers insights, analytics and AI covering different regions and medical specialties. Your work will standardise metrics, resolve data conflicts and deliver timely dedication that Medical leaders trust to act on. From day one, you will shape scalable data models, automate ingestion of manual and external datasets, and champion data quality and integrity. You will partner closely with Medical collaborators to turn urgent questions into reproducible analytics and dashboards that guide strategy. Can you envision yourself creating pipelines and models that move seamlessly from idea to reliable production at enterprise scale? ## ## Accountabilities: * Medical data analysis and reporting: Build and run custom and standard reports 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 origins. Deliver insightful Power BI dashboards using DAX aligned to standard Medical metrics and benchmarks. * Automate the process of bringing together and integrating manually collected and external data. These sources are currently missing from enterprise data hubs. This supports repeatable reporting and analytics at scale. * Data design and decisions: Own key decisions on schemas, transformations and calculations to ensure performance, maintainability and scalability across markets and therapeutic areas. * Data accuracy and consistency: Coordinate quality and lineage, implement global integrity and consistent reporting, surface issues and be responsible for resolution with platform and data owners. * Rules validation and conflict resolution: Identify and source data
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