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Tier-1 brand, mid-level generalist analytics role, metro location, and broad Tableau/SQL requirements.
Core analytics skills transfer across industries, but banking domain knowledge makes fit sensitivity medium.
Explicit 5–8 years requirement plus mandatory Tableau/statistical modeling and banking context raises strictness.
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Lead and contribute to development of new data analytics techniques and process improvements within data science initiatives.
Conduct strategic data analysis and provide recommendations to optimize banking platform data quality and business outcomes.
Assume informal/formal leadership roles including coaching/training new recruits and influencing decisions across teams.
5-8 years experience in statistical modeling and data analytics.
Strong proficiency with Tableau Desktop, Tableau Server/Cloud, Tableau Prep Builder, and integration with multiple data sources (Oracle, SQL Server, MongoDB, Postgres).
Bachelor’s/University degree or equivalent experience.
Work Experience Required: 5-8 years explicitly mentioned.
Experienced senior analyst comfortable leading and coordinating data science projects with measurable business impact.
Skilled in complex problem solving, strategic consulting, and working across functions in data and technology domains.
Capable communicator with expertise in bridging business and IT stakeholders to implement system changes and improve analytic insights.