Analytics Engineer I , Commercialization
Bristol Myers Squibb (company site, opens in a new tab)1–3 yrsHyderabadOn-siteDirect career pageEst. 8–16 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and maintain analytics-ready data products and scalable transformation logic using SQL and Python to support commercial reporting and business insights.
- Translate business requirements into dimensional models, metrics definitions, and dataset readiness criteria ensuring alignment with internal standards.
- Implement data quality controls, documentation, and governance practices to ensure accuracy and trustworthiness of datasets within a commercial business domain.
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 business intelligence engineering working with curated datasets and analytics-ready assets.
- Proficiency in SQL and working knowledge of Python for data transformation and preparation.
- Experience with dimensional modeling concepts and handling structured and semi-structured pharma datasets is preferred but not mandatory.
Ideal Candidate Profile
- Experienced in designing scalable data transformation and modeling within a lakehouse environment using modern tools like Databricks and Delta Lake.
- Able to collaborate effectively with business and technical stakeholders to deliver dashboard-ready, governed datasets supporting self-service analytics.
- Comfortable working embedded within a commercial business domain with a focus on data quality, documentation, and governance standards.