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Tier-1 brand, metro location, and broad analytics skillset drive high candidate competition.
Core data skills are transferable but banking operations and regulatory knowledge increase domain specificity.
Explicit 8+ years, mandated tools, banking domain and AI experience indicate high shortlisting strictness.
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Drive development and implementation of analytical and automated solutions to support banking operations and COO business objectives.
Own report generation, data analysis, and dashboard creation to provide actionable insights and operational visibility.
Interface with business and technology partners to digitize data collection and improve processes through automation and data governance.
8+ years experience in Reporting & Automation, Data/Information Management with proficiency in SQL, SAS, Python, PySpark, Tableau.
Bachelor’s degree in STEM required; Master’s degree preferred.
Experience in banking operations analytics (e.g., expense analytics, cash flow management, fraud analytics).
Knowledge of regulatory requirements related to data privacy and security.
Experienced in building scalable analytics frameworks integrating data strategy, process optimization, and visualization techniques.
Strong technical expertise in automation scripting, reporting tools, and handling large complex datasets in financial services.
Ability to collaborate across business and technology teams and translate complex data insights into clear, actionable business recommendations.