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Tier-1 brand, metro location, popular mid-level data analyst title create high candidate competition.
Technical data skills are transferable but banking domain and regulatory experience impose medium specificity.
Explicit 3+ years plus mandatory BI, scripting, and banking domain skills increase hiring rigor.
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Own development and implementation of analytical solutions to enhance Banking Operations & Analytics within COO.
Design, develop, and maintain reports and automated solutions using SQL, Python, Tableau, and related tools to improve efficiency and accuracy.
Create interactive dashboards and present data-driven insights to stakeholders to support business decision-making.
Minimum 3+ years of experience in Reporting & Automation, Data/Information Management Analyst roles.
Proficient with SQL, SAS, Python, PySpark, Tableau and scripting for automation tasks.
Bachelor's degree in STEM required; Master's degree preferred.
Experience with banking operations analytics and knowledge of regulatory data privacy and security requirements.
Strategic data analyst skilled in building scalable analytics frameworks integrating data strategy, process optimization, and visualization.
Experienced in automation development and deployment of AI/Gen AI solutions in financial/business analysis or operational risk.
Ability to work with large, complex datasets and communicate complex insights clearly to diverse stakeholders.