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Strong Tier-1 brand, popular mid-level data role, metro location, and broad skill requirements increase competition.
Transferable data/reporting skills, but banking operations and regulatory experience raise domain specificity.
Explicit 3+ years requirement plus mandatory SQL/Python/Tableau and banking domain skills makes filters strict.
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Lead development and implementation of analytical solutions supporting Banking Operations & Analytics within COO.
Design, generate, and maintain reports and interactive dashboards using tools like Tableau and Python to deliver actionable business insights.
Identify and automate manual, repetitive data-related tasks to improve efficiency and accuracy in business processes.
3+ years of experience in Reporting & Automation, Data/Information Management roles with proficiency in SQL, SAS, Python, PySpark, Tableau.
Bachelor’s degree in STEM required; Master’s degree preferred.
Experience working with large, complex, and unstructured data in banking operations or related domain.
Knowledge of data privacy, security regulations, and AI/Gen AI proficiency for financial/business analysis.
Experienced analyst with a strong track record of delivering data-driven solutions and automation in banking or financial services.
Skilled in developing scalable analytics frameworks including data strategy, process optimization, visualization, and AI solution deployment.
Capable of explaining complex data insights clearly to stakeholders and improving operational efficiency via automation.