Credit Card Marketing Analytics Analyst - Python, SQL and PySpark
Citi (company site, opens in a new tab)5–7 yrsBengaluruHybridDirect career pageEst. 16–26 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Gather and analyze operational data from cross-functional stakeholders to assess past business performance and identify trends impacting credit card marketing.
- Translate data into actionable consumer behavior insights to drive targeting, segmentation, and campaign optimization strategies with clear communication to senior leaders.
- Continuously improve marketing strategies and processes by evaluating new data sources, tools, and decision strategies while ensuring compliance with regulations and risk standards.
Minimum Requirements
- 5-7 years of relevant experience, preferably in Credit Card Marketing Analytics or Consumer/Financial Banking Analytics.
- Master's degree or equivalent experience.
- Proficient in Python, PySpark, SQL; SAS knowledge also relevant.
- Preferred experience in Credit Card P&L understanding, Campaign Optimization, P&L simulation, Financial forecasting, and Marketing strategy; Agentic AI development experience is a plus.
Ideal Candidate Profile
- Experienced in credit card marketing analytics with strong domain knowledge of Cards P&L and campaign optimization.
- Skilled in data analysis and translating complex data into strategic business recommendations for senior leadership.
- Organized and detail-oriented with advanced process management skills and ability to independently solve complex problems impacting business decisions.