Analytics Engineer I, Commercialization
Bristol Myers Squibb (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 6–12 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain analytics-ready data products and curated datasets in a Databricks lakehouse environment to support commercial reporting and self-service BI.
- Translate business requirements into data specifications, dimensional models, and scalable SQL/Python transformation logic for diverse pharma-related datasets.
- Implement data quality, validation, and documentation standards while collaborating with commercial domain teams to ensure data products meet business needs.
Minimum Requirements
- Experience Required: Not explicitly mentioned in the JD
- Proficiency in SQL and Python for data transformation and modeling.
- Familiarity with Databricks or similar modern data lakehouse environments.
- Ability to work with sensitive/regulatory-compliant data (PII/PHI) and apply data governance standards.
Ideal Candidate Profile
- Early-career data or analytics engineer aiming to build technical depth in data modeling and platform responsibilities.
- Experience or interest in pharmaceutical commercial data including claims, sales, payer, specialty pharmacy data.
- Collaborative operator comfortable working alongside commercial business domain teams and applying engineering best practices under guidance.