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Tier-1 bank, metro location, mid-level generalist data role with broad tech stack increases candidate competition.
Core analytics skills transferable, but banking operations and data governance requirements add moderate domain specificity.
Explicit 5+ years plus mandatory SQL/Python/Tableau/PySpark and banking domain experience increases filtering.
Drive development and implementation of analytical solutions to support key banking operations and analytics objectives within COO.
Design, develop, and maintain reports and interactive dashboards using tools like Tableau, Python, Power BI to present KPIs and operational metrics.
Identify and automate manual, repetitive tasks using scripting and automation tools (e.g., Python, SQL, SAS) to improve efficiency and accuracy.
5+ years of experience in Reporting & Automation, Data/Information Management Analyst roles with proficiency in SQL, SAS, Python, PySpark, Tableau.
Bachelor's degree in STEM is required; Master's degree preferred.
Experience with banking operations analytics and knowledge of regulatory requirements related to data privacy and security.
Work Experience Required: 5+ years
Experienced in end-to-end data analysis, report generation, automation development, and process optimization in banking environment.
Skilled in leveraging business intelligence and scripting tools to develop scalable analytics frameworks and deliver actionable insights.
Proven ability to collaborate with tech and business teams to develop and deploy AI/Gen AI solutions impacting financial/business analysis and operational risk.