Senior Data Analyst Data Analytics
Epsilon (company site, opens in a new tab)5+ yrsBengaluruHybridDirect career pageEst. 14–24 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end execution and on-time delivery of statistical and analytic projects for assigned clients, ensuring high-quality and well-documented outputs.
- Independently build, validate, and present statistical models, research original analytic solutions, and provide clear data-driven recommendations to business and clients.
- Collaborate cross-functionally to troubleshoot data, modeling, and process issues; serve as an analytic advisor to clients and internal teams; and contribute to workflow and methodology improvements.
Minimum Requirements
- 5+ years of experience in statistical or data analysis roles; Bachelor's degree in statistics, quantitative discipline, or related field required; advanced degree preferred.
- Proficient in Python (including PySpark where applicable), SQL, Excel, and PowerPoint, with ability to maintain and improve analytic codebases.
- Advanced understanding of statistical methods (regression, clustering, factor analysis, ANOVA, etc.) and experience working with large transactional databases.
- Experience working directly with external clients in a business environment and familiarity with data products and direct marketing concepts preferred, but not mandatory.
Ideal Candidate Profile
- Experienced individual contributor who can independently manage multiple analytic projects end-to-end with minimal supervision and strong attention to detail.
- Comfortable working with complex data and statistical modeling methods and communicating findings to both technical and non-technical audiences.
- Able to collaborate cross-functionally, support knowledge sharing, and contribute to continuous improvement of analytic workflows and tools within a data-driven environment.