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Popular mid-level analytics role with broad toolset and known employer increases candidate competition.
Core analytics and tooling are transferable, but BFSI campaign experience preference adds moderate domain specificity.
Explicit 3-year minimum plus mandatory SAS/SQL/Python and Tableau skills and BFSI preference raises strictness.
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Design and implement data-driven marketing strategies and AI/ML models to optimize campaign ROI and customer targeting for banking products.
Build and validate campaign audiences and enhance Tableau dashboards focused on usability for non-technical stakeholders.
Conduct data analysis using SAS, perform segmentation and A/B testing, translate client requirements into technical solutions, and prepare data-backed presentations and reports.
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
Minimum 3 years of analytics experience, preferably in marketing or BFSI (banking, financial services, insurance).
Proficient in SAS, SQL, and/or Python; at least 1 year of dashboard building experience using Tableau or Power BI.
Experience in banking or financial services sector preferred but not strictly mandatory (not stated as hard requirement).
Experienced in analytics with a focus on marketing campaigns within BFSI domain, capable of translating client needs into technical deliverables.
Proficient in multiple data tools (SAS, SQL/Python, Tableau/Power BI) and applying statistical and machine learning methods for segmentation and testing.
Able to create actionable and visually effective data storytelling materials for non-technical stakeholders and clients.