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Tier-1 bank, generalist data role, metro location, and broad technical requirements drive high competition.
Analytics skills transfer well, but bank-specific governance and stakeholder experience moderately increase domain specificity.
Explicit 8+ years plus mandatory SQL, Python/R, BI and cloud platform experience makes shortlisting strict.
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Lead end-to-end complex data analysis including problem framing, data sourcing, methodology selection, validation, and insight delivery.
Build and maintain complex datasets, data models, dashboards, and analytical pipelines using advanced analytical techniques such as regression, forecasting, segmentation, and A-B testing.
Mentor junior analysts, review analytical outputs, collaborate with engineering/product teams, and present decision-ready insights and recommendations to senior leadership.
Bachelor's degree in data science, statistics, computer science, mathematics, information systems, business analytics, finance, economics, or related field; master's degree preferred.
8+ years of experience in data analytics, BI, statistical analysis, or related roles.
Advanced SQL and strong experience with Python or R; experience with Power BI/Tableau and modern data platforms such as Snowflake or Databricks.
Location: Chennai; role requires working from a U.S. Bank location three or more days per week.
Experienced senior data analyst capable of translating ambiguous business problems into analytical frameworks and executive-ready insights.
Proficient in advanced statistical methods, experimentation design, forecasting, and data modeling within a business analytics context.
Effective cross-functional collaborator and mentor with strong stakeholder management and communication skills in a large enterprise environment.