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Tier-1 brand, metro location, generalist data title, and broad SQL/Python/Tableau requirements.
Requires banking operations and regulatory knowledge, reducing cross-industry transferability.
Strict 8+ years, mandatory SQL/Python/PySpark/Tableau and banking analytics experience.
Develop and implement analytical and automated solutions to support banking operations and key business objectives within COO (Chief Operating Office).
Manage data collection, cleaning, analysis, and reporting, including creating dashboards and performance metrics for various stakeholders.
Act as a liaison between business and technology teams to digitize data collection and improve operational processes through automation and process optimization.
8+ years of experience in Reporting & Automation, Data/Information Management Analyst roles.
Proficiency in SQL, Python, SAS, PySpark, Tableau or similar BI tools.
Bachelor’s degree in STEM required; Master’s degree preferred.
Experience with banking operations analytics such as expense analytics, cash flow management, or fraud analytics.
Experienced in designing and deploying scalable analytics frameworks integrating data strategy, process optimization, and visualization.
Proven ability to develop and automate routine business processes using scripting (e.g., Python) and automation tools.
Strong understanding of data governance, quality, and regulatory requirements linked to data privacy and security in financial services.