Data Analyst II, Incentive Compensation
Bristol Myers Squibb (company site, opens in a new tab)3–6 yrsHyderabadOn-siteDirect career pageEst. 10–18 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Manage and enhance the in-house Sales Crediting Platform ensuring timely, accurate processing of sales crediting operations.
- Develop and maintain scalable data pipelines, transformations, validations, and reporting using SQL, Python, and Databricks for Incentive Compensation processes.
- Identify and implement automation and AI-enabled solutions to improve platform efficiency, data quality, and operational KPIs while collaborating with multiple stakeholders across Commercial, IT, and Data teams.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, IT, Business Analytics, Statistics, Mathematics, or related field.
- 3–6 years of experience in data engineering, data analytics, business intelligence, or technical data platform roles.
- Strong hands-on experience with SQL, Python, and Databricks or similar cloud data platforms.
- Experience working with large complex datasets and developing scalable data pipelines.
Ideal Candidate Profile
- Demonstrated ability to translate complex business rules into scalable technical implementations with a strong focus on data quality, validation, and reconciliation.
- Experience working cross-functionally with business and technical stakeholders to deliver end-to-end platform enhancements including testing, deployment, and operational support.
- Practical knowledge or interest in applying AI/GenAI, machine learning, and automation technologies within data pipeline and incentive compensation contexts.