Business Analytics Analyst - Pyspark
Citi (company site, opens in a new tab)5–7 yrsBengaluruHybridDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own analytical workstreams focused on campaign analytics within banking and credit card domains, including test-vs-control design and performance measurement.
- Develop and maintain recurring dashboards and scorecards monitoring campaign metrics such as response rates and profitability.
- Leverage advanced SQL, PySpark, SAS, and Python skills to process large datasets and deliver actionable insights to marketing and product stakeholders.
Minimum Requirements
- 5-7 years of relevant analytics experience, preferably in banking, cards, or financial services.
- Advanced SQL skills with ability to handle complex queries and tune performance over large data warehouses (Teradata, Hive).
- Proficiency in PySpark for distributed data processing and Python for data manipulation and visualization.
- Experience with SAS (Base and Macros) for data manipulation and campaign reporting automation.
Ideal Candidate Profile
- Strong domain expertise in consumer banking and credit card product lifecycle and campaign marketing analytics.
- Ability to independently manage multiple campaign analytics projects and mentor junior analysts, indicating seniority and ownership.
- Familiarity with Generative AI tools and their application in analytics productivity is a plus, reflecting adaptability to modern analytics technologies.