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Tier-1 brand, metro location, mid-level generalist title, and broad SQL/Python skillset increase applicant competition.
Core analytics skills are transferable across industries, though banking/credit-card domain preference raises sensitivity slightly.
Explicit 2-year minimum plus mandatory SQL and Python technical requirements make shortlisting strict.
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Analyze complex data sets to identify key business trends and provide actionable insights for senior leadership and business partners.
Develop and execute digital marketing strategies to enhance product sales and customer engagement across platforms.
Optimize digital servicing channels by analyzing user behavior data to improve customer experience and reduce support costs using advanced analytics and AI techniques.
Bachelor’s Degree with at least 2 years of relevant work experience OR Master’s Degree with 1 year of relevant work experience.
Proficient hands-on experience with Python and SQL is mandatory; experience with PySpark is preferred.
Experience working with large, complex, unstructured datasets and data warehouses.
Knowledge of digital marketing and Credit Card business practices is highly beneficial.
Experienced in applying statistical methods and coding tools (Python, SQL, PySpark) to solve complex business problems and generate insights.
Ability to work cross-functionally in a matrix environment to translate data insights into business outcomes, especially in digital marketing and financial services domains.
Familiarity with credit card business, P&L management, and web analytics tools like Adobe SiteCatalyst is a strong advantage.