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Tier-1 brand, mid-level generalist data role, metro location, and broad BI/automation skillset.
Skills largely transferable, but banking operations and regulatory knowledge increase domain specificity.
Explicit 5+ years, mandatory BI/automation tech stack, and banking domain expectations increase screening strictness.
Drive data analysis, reporting, and automation to improve efficiency and insights for Banking Operations & Analytics under COO.
Design, develop, and maintain reports and interactive dashboards using tools like Tableau, Python, and Power BI to monitor KPIs and operational metrics.
Develop and maintain automated solutions to streamline repetitive tasks, optimize workflows, and ensure data quality and governance compliance.
5+ years experience in Reporting & Automation, Data/Information Management Analyst roles.
Proficiency in SQL, SAS, Python, PySpark, Tableau or similar BI and automation tools.
Bachelor's degree in STEM required; Master's degree preferred.
Work Experience Required: 5+ years
Experienced in handling large, complex banking operations data with a focus on expense analytics, cash flow management, fraud analytics, or ROI.
Demonstrated ability to develop and deploy AI/Gen AI solutions in a financial or business operations context.
Strong expertise in establishing scalable analytics frameworks including data strategy, process optimization, and actionable insights for financial institutions.