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Tier-1 brand, metro location, generalist data title, and broad skill requirements drive high competition.
Banking operations focus and regulatory knowledge increase industry specificity, moderately limiting transferability.
Explicit 3+ years and mandatory SQL/Python/Tableau/SAS/PySpark skills make shortlisting highly strict.
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Drive development and implementation of analytical and automated solutions to support Banking Operations & Analytics within the COO function.
Design, develop, and maintain reports and interactive dashboards using tools like Tableau, Python, and Power BI to provide insights on KPIs and operational metrics.
Identify automation opportunities for manual, repetitive tasks and improve workflows through scripting and automation technologies (SQL, SAS, Python, PySpark).
3+ years of experience in Reporting & Automation or Data/Information Management Analyst roles with proficiency in SQL, SAS, Python, PySpark, Tableau.
Bachelor's degree in STEM required; Master's preferred.
Experience working with banking operations data (e.g., expense analytics, cash flow, fraud analytics) and knowledge of data privacy and security regulations.
Work Experience Required: Minimum 3 years
Proven ability to deliver impactful insights and automation solutions within complex banking or financial operations environments.
Experience developing AI or Gen AI solutions in collaboration with technology and business teams to influence key business drivers.
Strong skills in data governance, process optimization, and building scalable analytics frameworks aligned with strategic business needs.