Senior Level – Credit Card Analytics / Data Science

Job Title Senior Level – Credit Card Analytics / Data Science Job Summary Looking for a senior analytics professional with strong experience in Credit Card / Retail Banking analytics, driving strategy using data science, SQL, and Python. The role focuses on portfolio performance, customer lifecycle, risk & marketing analytics. Key Responsibilities • Drive credit card portfolio analytics (acquisition, activation, usage, retention) • Build data-driven strategies for growth, cross-sell, and profitability • Develop predictive models (risk, churn, CLTV) using Python • Work on campaign analytics, segmentation, and targeting • Partner with business, risk, and product teams for strategic decisions • Automate reporting and dashboards using SQL/Python Required Skills • Strong experience in Credit Card / Banking Analytics • Advanced SQL (joins, CTEs, optimization) • Python (Pandas, NumPy, Scikit-learn) • Data storytelling and stakeholder management • Strategy mindset with business impact focus Qualifications • Bachelor’s/Master’s in Engineering, Statistics, Economics, or related field • 6–10+ years of experience in analytics/data science • Experience in credit cards or financial services is mandatory Preferred Skills • Experience with SQL / R / PySpark • Knowledge of credit risk, underwriting, or fraud analytics • Exposure to BI tools (Power BI, Tableau)