





Generalist title, mid-level (3 years), metro context and broad skills drive high applicant competition.
Technical analytics skills are transferable, but marketing/BFSI campaign focus gives moderate industry specificity.
Explicit 3-year minimum plus mandatory SAS, SQL/Python and Tableau skills enforce moderate filtering.
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Design data-driven marketing strategies for banking products using historical campaign data and AI/ML models to optimize ROI and targeting.
Build, validate, and segment campaign audiences using statistical methods and clustering techniques.
Develop and maintain Tableau dashboards for campaign performance analysis, conduct A/B testing, and present data-driven insights to stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
Minimum 3 years of experience in analytics, preferably in marketing or BFSI sector.
Proficiency in SAS, SQL, and/or Python for data analysis.
At least 1 year experience in building dashboards with Tableau or Power BI.
Experienced in banking or financial services analytics with domain knowledge of marketing campaigns.
Skilled in statistical analysis, data segmentation, and model development (AI/ML).
Capable of translating complex data insights into clear, actionable presentations for non-technical audiences.