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Tier-1 brand, metro location, mid-level generalist analytics title, and common tech stack increase candidate density.
Role requires credit-card P&L, campaign optimization and banking domain knowledge, limiting cross-industry transferability.
Explicit 5-7 years plus domain-specific cards/consumer banking and required PySpark/Python/SQL raise screening rigidity.
Analyze operational data from multiple stakeholders to identify patterns and trends influencing business performance and decision making
Provide insights on consumer or customer behavior to drive marketing targeting, segmentation, campaign optimization, and strategic business opportunities
Continuously enhance analytics processes and collaborate with business partners to implement and track decision strategies while managing risk and compliance
5-7 years of relevant experience in analytics, preferably with consumer banking or credit card marketing analytics
Proficiency in PySpark, Python, SAS, and SQL
Master's degree or equivalent experience
Work Experience Required: 5-7 years relevant experience
Experienced in credit card marketing analytics with understanding of Cards P&L, campaign optimization, financial forecasting, and marketing strategy
Skilled in exploratory, confirmatory, and qualitative data analysis with strong communication skills for cross-functional stakeholder engagement
Capable of integrating advanced analytics into business processes and managing risk & compliance within a financial services environment