Analytics Engineer I , Commercialization

About the role

This is work that transforms the lives of patients, and the careers of those who do it.

What you'll do

• Translate business and analytics requirements into clear data specifications, dimensional models, metrics definitions
• Apply internally developed accelerators, reusable code patterns, templates, and engineering guardrails to improve development speed, consistency
• Create analytics-friendly models, including fact and dimension tables, cross-domain joins, slowly changing dimensions
• Implement standardized data quality checks, reconciliation logic, validation routines, and anomaly detection controls to ensure datasets are accurate, complete
• Document data products, metric definitions, lineage, assumptions, and known limitations in accordance with internal documentation and governance standards

What you need

• 1–3 yrs of experience
• Analytics
• SQL
• Python
• Data modelling
• ETL
• Databricks
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Reconciliation
• Power BI
• CI/CD
• Tableau
• Git