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Tier-1 brand, metro location, and mid-level experience increase applicant competition.
Requires digital analytics plus banking product knowledge, moderately limiting cross-industry transferability.
Multiple mandatory technical skills and explicit 4+ years experience create strict shortlisting filters.
Own end-to-end clickstream data tracking, analysis, and reporting for web and mobile platforms to drive user acquisition, engagement, and conversion optimization.
Design and implement digital offer experiments (A/B, multivariate tests) and analyze their ROI, including campaign performance and control group methodologies.
Provide deep analytics support for Retail Bank products including Small Business and Mortgage sectors by identifying market trends and driving campaign optimization through data insights.
Minimum 4+ years of hands-on Business Analytics experience.
Proficiency in Python and Hive/SQL with mandatory experience in clickstream data analytics.
Preferred educational background: Master's degree with 2 years experience or Bachelor's with 4 years in Computer Science or related quantitative fields.
Work Experience Required: 4+ years in Business Analytics and digital analytics domain.
Experience operating within large-scale Retail Bank or financial services analytics environments involving campaign management and customer lifecycle analysis.
Strong expertise in analytical solutions aligning with marketing, pricing, and decision management teams to influence revenue growth.
Skilled in statistical analysis, marketing research, and data-driven decision making with ability to translate complex datasets into actionable insights.