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Tier-1 bank, metro location, mid-level generalist data analytics role with broad tooling requirements increases competition.
Core analytics skills transferable across industries, but banking governance and regulatory knowledge increases domain specificity.
Explicit 4–8 year requirement and hands-on GitHub plus governance skills create moderate filter stringency.
Own end-to-end data analytics integrating industry standards to support local and broader business impact.
Lead data governance and data risk & control initiatives across teams including policy implementation and risk framework adherence.
Analyze and monitor data quality, lineage, cataloging, and compliance to regulatory and internal governance standards.
4-8 years of relevant experience in data analytics or related domain.
Hands-on experience with statistical modeling tools and GitHub repository management must-have.
Working knowledge of Data Governance and/or Data Risk & Control principles or frameworks is required.
Experience with enterprise CI/CD platforms (e.g., Lightspeed) and digital/AI-assisted tools for governance-related activities is a plus but not explicitly required.
Experienced in applying analytical thinking and professional judgment to complex data interpretation and governance challenges.
Skilled in partnering with cross-functional teams to enforce data quality, risk controls, and governance policy adherence.
Capable of managing ambiguous, complex data environments with a focus on maintaining regulatory compliance and safeguarding organizational assets.