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Tier-1 brand, metro location, mid-level generalist role with broad BI/Python skills increases competition.
Core skills (SQL, Python, Tableau, automation) are broadly transferable across industries despite banking context.
Explicit 3+ years plus required SQL/Python/Tableau skills creates moderate filtering for shortlisting.
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Drive development and implementation of analytical solutions to support Banking Operations and Analytics under COO.
Design, develop, and maintain automated reports and interactive dashboards using tools like Tableau, Python, SQL, and SAS.
Identify process inefficiencies and deliver automation solutions to optimize workflows and improve data accuracy.
3+ years of experience in Reporting & Automation or Data/Information Management Analyst roles.
Proficiency with business intelligence and automation tools such as SQL, SAS, Python, PySpark, and Tableau.
Bachelor's degree in STEM required; Master's degree preferred.
Experience in banking operations analytics and knowledge of regulatory data privacy and security requirements.
Demonstrated ability to deliver impactful business insights and foster a data-driven culture in financial services or banking operations.
Strong technical skills in automation scripting, reporting, and data visualization within a complex data ecosystem.
Experience in developing and deploying AI/Gen AI solutions linked to financial or operational risk analysis and business strategy impact.