Analytics Engineer II, Commercialization
Bristol Myers Squibb (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and build analytics-layer transformations, semantic models, and metrics for commercial data domains using Databricks Lakehouse.
- Analyze business requirements and develop application components to support commercial reporting, self-service BI, and advanced analytics.
- Ensure data quality, optimization of Databricks workloads, and compliance with data governance and access controls for sensitive data.
Minimum Requirements
- Strong proficiency in SQL and Python for analytics transformations and data modeling.
- Hands-on experience with Databricks (notebooks, jobs/workflows) and knowledge of Delta Lake features (Z-ordering, partitioning).
- Experience with dimensional data modeling concepts including star/snowflake schemas and conformed dimensions.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience working embedded with commercial business domains (Sales, Marketing, Market Access, Medical Affairs).
- Skilled in developing optimized scalable data pipelines within Databricks and applying data governance standards for regulated data.
- Capable of guiding junior analytics engineers and collaborating with analysts and BI developers on domain-specific analytics solutions.