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Tier-1 bank mid-level data analyst in Gurgaon with broad BI/Python skillset increases competition.
Core BI and scripting skills are transferable, though banking operations and regulatory knowledge increase domain bias.
Explicit 5+ years plus mandatory SQL/Python/Tableau and domain knowledge creates strict filters.
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Drive development and implementation of analytical solutions supporting Banking Operations & Analytics in COO function.
Design, develop, and maintain reports and interactive dashboards (Tableau, Python) presenting KPIs, operational metrics, and financial data.
Identify manual processes and develop automation solutions using scripting/programming (Python, SQL, SAS, PySpark) to improve efficiency and reporting accuracy.
5+ years experience in reporting, data analysis, automation, or information management roles.
Proficiency with business intelligence and analytics tools: SQL, SAS, Python, PySpark, Tableau, Power BI.
Bachelor's degree in STEM field required; Master's degree preferred.
Experience working with banking operations data (e.g., expense analytics, cash flow management) and understanding of data privacy and security regulations.
Experienced analytic professional skilled at developing scalable data strategies and automation frameworks within banking/financial services.
Strong technical expertise in scripting and BI tools enabling end-to-end report automation and dashboarding for operational insight.
Capable of interpreting complex data and communicating actionable insights to multiple stakeholders including senior management.