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Tier-1 brand, mid-level Bengaluru analytics role with common Python/SQL skills yields moderate competition.
Requires credit-card marketing and P&L expertise, reducing cross-industry transferability.
Explicit 5–7 years requirement plus mandatory analytics tech and domain skills enforce strict filters.
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.
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.
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.