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Tier-1 brand, metro location, mid-level generalist title and broad skills create high applicant competition.
Core data and BI skills transfer broadly, but banking/regulatory experience raises domain specificity.
Explicit 3+ years requirement plus mandatory SQL/Python/Tableau and banking domain expertise increases screening strictness.
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Drive development and implementation of analytical solutions to support banking operations and analytics within the COO office.
Develop, maintain, and automate reports and dashboards (using tools like Tableau, Python, SQL) to improve efficiency and operational insights.
Identify process inefficiencies and implement automated solutions to optimize workflows and data handling.
3+ years experience in Reporting & Automation, Data/Information Management Analyst roles with proficiency in SQL, SAS, Python, PySpark, Tableau.
Bachelor's degree in STEM required; Master's degree preferred.
Experience with banking operations analytics or related financial analysis.
Not explicitly mentioned: mandatory notice period.
Experienced in handling large, complex, and unstructured data with expertise in data manipulation, querying, and quality management.
Proven track record in developing scalable analytics frameworks including data strategy, process optimization, and visualization.
Demonstrated capability in delivering automation solutions and AI/Gen AI proficiency within financial/business analysis or operational risk contexts.