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Tier-1 brand, popular mid-level data analyst title, metro location and broad technical requirements drive high competition.
Core skills (SQL/Python/Tableau) transferable, but banking operations and regulatory experience raise domain specificity.
Explicit 3+ years plus mandatory SQL/Python/Tableau and banking-domain requirements make screening stringent.
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Drive development and implementation of analytical solutions supporting Banking Operations & Analytics within COO.
Develop and maintain automated reports, dashboards (Tableau, Power BI, Python) and workflows to improve operational efficiency and data insights.
Analyze data and processes to identify inefficiencies and deliver actionable recommendations and automation solutions.
3+ years experience in reporting, automation, and data/information management roles.
Proficiency in BI and automation tools: SQL, SAS, Python, PySpark, Tableau; scripting for automation (e.g., Python).
Bachelor’s degree in STEM required; Master’s preferred.
Not explicitly mentioned: notice period; location requirement Gurugram implied.
Experienced in banking operations analytics (expense analytics, fraud analytics, fund movement, cash flow management).
Skilled in developing scalable analytics frameworks integrating data strategy, process optimization, AI/Gen AI applications.
Able to communicate complex data insights clearly to stakeholders and influence business decision-making.