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Strong employer, metro location, and a generalist senior data role increase candidate competition.
Core analytics skills are transferable but banking domain knowledge raises fit sensitivity to medium.
Multiple mandatory technical skills and regulated banking domain increase screening rigor.
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Lead data-driven decision making by extracting actionable insights from large datasets and performing advanced statistical and machine learning analyses.
Design, build, and automate data pipelines and dashboards using tools like Power BI, Tableau, and SQL to support business needs and reporting.
Investigate data quality, lineage, controls issues, and provide recommendations for improvements while influencing operational effectiveness and risk mitigation.
Proficiency in advanced SQL, Python (Pandas, NumPy, Jupyter Notebook), Power BI, Tableau, SSRS, and advanced Excel.
Strong knowledge of data warehousing, ETL concepts, data governance, quality frameworks, and metadata management.
Work Experience Required: Not explicitly mentioned in the JD.
Location requirement: Position is based in Pune.
Experienced in banking data domains such as Private Banking, Wealth Management, Asset Management, or Capital Markets.
Capable of leading teams or collaborative projects, advising stakeholders, and influencing policy development and risk management.
Demonstrated ability to communicate complex data insights effectively and develop actionable business recommendations to drive process improvements.