Analytics Engineer I , Commercialization
Bristol Myers Squibb (company site, opens in a new tab)1–3 yrsHyderabadOn-siteDirect career pageEst. 6–12 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and support analytics-ready data products and curated datasets within a modern lakehouse environment to enable commercial reporting and self-service analytics.
- Develop and maintain scalable SQL- and Python-based transformation logic integrating structured and semi-structured pharma datasets including claims, patient, sales, payer, HUB, and specialty pharmacy data.
- Implement data quality checks, documentation, and work embedded within a Commercial business domain collaborating with data engineers, analysts, and business stakeholders.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Statistics/Mathematics, Analytics, or related field (or equivalent practical experience).
- 1-3 years of hands-on experience in analytics engineering, data engineering, or related roles building curated datasets and analytics-ready assets.
- Strong proficiency in SQL and working knowledge of Python for data transformation and validation.
- Experience working with structured and semi-structured pharma datasets is preferred but not explicitly mandatory.
Ideal Candidate Profile
- Experience with dimensional modeling concepts and lakehouse architecture (e.g., Databricks, Delta Lake) preferred.
- Ability to translate business and analytics requirements into data specifications and to create analytics-friendly data models supporting BI and reporting.
- Comfortable working in an embedded team environment alongside commercial business stakeholders and engineering peers.