Credit Card Marketing Analytics Analyst - Python, SQL and PySpark
Citi (company site, opens in a new tab)5–7 yrsGurugramHybridDirect career pageEst. 18–28 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Collect and analyze operational data from multiple stakeholders to assess past business performance and identify patterns and trends.
- Deliver insights and recommendations to improve business planning, process improvements, campaign optimization, and strategic opportunities in Credit Card Marketing.
- Collaborate with business partners and senior leaders to translate data into consumer behavior insights that drive targeting, segmentation, and decision strategies, while incorporating risk assessment and compliance awareness.
Minimum Requirements
- 5-7 years of experience in Consumer Banking analytics with focus on Financial Analytics for consumer banking.
- Proficient in PySpark, Python, SAS, and SQL; experience with Agentic AI development is a plus but not required.
- Master's degree or equivalent experience is mandatory.
- Preferred domain experience in Credit Card Marketing analytics including understanding of Cards P&L, Campaign Optimization, P&L simulation, Financial forecasting, and Marketing strategy.
Ideal Candidate Profile
- Experienced in credit card marketing analytics with a strong grasp of financial performance metrics and campaign management.
- Capable of independently handling complex data analysis projects with measurable business impact and providing actionable insights.
- Effective communicator who can present complex behavioral data insights clearly to business stakeholders and senior leadership.