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Tier-1 bank, metro location, mid-level generalist role with broad skills increases candidate competition.
Core SQL/Python/reporting skills are transferable, but banking operations and GenAI domain knowledge require moderate specialization.
Explicit 2+ years requirement plus mandatory SQL/Python/Tableau/GenAI skills and banking domain increases filter strictness.
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Develop and maintain analytical reporting solutions and automated processes to support Banking Operations & Analytics within COO.
Create data-driven insights, dashboards, and reports (using tools like Python, SQL, Tableau, Power BI) to improve operational efficiency and accuracy.
Drive implementation of AI/GenAI-powered solutions to optimize business strategies and operational risk analysis.
2+ years of experience in reporting, automation, and analytics using SQL, Python, SAS, PySpark, Tableau or similar technologies.
Bachelor's degree in STEM required; Master's degree preferred.
Proficiency in scripting for automation and developing business intelligence reports and dashboards.
Experience with AI/GenAI deployment in financial/business analysis or operational risk contexts.
Experienced in banking operations analytics with ability to translate data into actionable business insights.
Skilled in end-to-end data handling: collection, cleaning, analysis, visualization, and process automation.
Comfortable working with large, unstructured datasets and collaborating across technical and business teams to deploy AI-driven solutions.