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Tier-1 brand, mid-level generalist data role in a metro with broad required skills increases candidate competition.
Core SQL/Python/BI skills are transferable, but private banking domain knowledge increases fit sensitivity.
Extensive mandatory technical stack and regulated banking domain raise filtering rigor.
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Lead and support data-driven decision-making by extracting insights from large datasets, applying statistical and advanced analytics, and presenting findings through visualizations and reports.
Design, build, and automate data pipelines and reporting processes; handle data quality, lineage, governance, and controls.
Provide leadership or guidance on complex analytical tasks impacting business functions, influence decision-making, and drive operational improvements using machine learning/AI where applicable.
Proficiency in advanced SQL, data profiling, statistical analysis, data visualization (Power BI, Tableau, SSRS), and Python (Pandas, NumPy, Jupyter Notebook).
Experience with data warehousing concepts, ETL, data lineage, governance, quality frameworks, and metadata management.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Role based in Pune, India.
Experienced in private banking, wealth management, asset or portfolio management, capital markets, or financial services domain.
Comfortable advising stakeholders, consulting on complex issues, influencing decisions, and leading collaborative analytical projects or teams.
Skilled at integrating cross-functional data sources and methodologies to solve complex problems and enhance control and governance processes.