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Strong Tier-1 brand, metro location, and mid-level generalist analytics role increase competition density.
Transferable analytics skills, but banking/credit-card domain experience increases domain specificity.
Explicit 3-5 years, mandatory Python/PySpark/SQL skills and banking domain increase filtering rigor.
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Analyze operational data across functions to identify patterns and trends that inform business planning and process improvements.
Provide actionable consumer and customer behavioral insights to support targeting, segmentation strategies, and decision-making by business partners and senior leaders.
Continuously enhance analytics processes by exploring new data sources, tools, and capabilities, and collaborate with internal and external partners on decision strategy implementation and tracking.
3-5 years of relevant experience in a quantitative field, preferably Financial/Credit Card industry.
Proficiency in Python, Pyspark, and SQL; Tableau experience is a plus.
Master's degree or university degree equivalent.
Strong communication skills and ability to work in a matrix environment.
Experienced in complex data analysis with ability to independently solve problems and interpret data for broader business impact.
Capable of translating data insights into clear communication for senior leadership and cross-functional teams.
Comfortable working in a dynamic, collaborative environment requiring flexibility and attention to compliance and risk assessment.