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Tier-1 brand, generalist Data Analyst title, metro location, and broad skill requirements drive high competition.
Core data skills are transferable but banking risk, controls, and governance requirements moderately constrain cross-industry fit.
No explicit years or mandatory certifications but technical skills and AVP leadership expectations create moderate filtering.
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Investigate and analyze data issues related to quality, lineage, controls, and source identification, providing recommendations for improvement.
Design and build data pipelines to automate processing, develop advanced analytics including machine learning to uncover trends and actionable insights for operational improvements.
Create interactive dashboards and automate reports for regular and ad-hoc stakeholder needs, influencing decision making and managing risk and controls.
Experience Required: Not explicitly mentioned in the JD.
Proficiency in SQL and experience with data integration mapping (source-to-target documents).
Understanding of Data Virtualization, data mesh concepts, and metadata/lineage management tools.
Location: Role is based out of Pune.
Experience leading or guiding teams on complex data analysis and cross-functional assignments at an Assistant Vice President or equivalent level.
Skilled in communicating and influencing stakeholders using complex data insights to support business decisions and policy development.
Comfortable working with large datasets, advanced analytics including machine learning/AI, and translating data into business recommendations.