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Strong employer brand, mid-level generalist data role, and broad skill requirements increase competition.
High because role requires banking, regulatory, and controls knowledge specific to financial services.
Explicit 4+ years requirement, banking controls/regulatory expectations, and domain-specific technical skills increase shortlisting strictness.
Lead or participate in data quality, governance, and AI/automation initiatives, including analysis, remediation, and solution design.
Manage moderately complex projects involving multiple stakeholders, coordinate remediation efforts, and mentor junior staff.
Develop and implement AI-enabled automation solutions using SQL, Python, Microsoft Copilot, and related technologies to improve data operations and operational controls.
4+ years of Data Management, Business Analysis, Analytics, or Project Management experience (or equivalent).
Proficiency in SQL and experience analyzing complex datasets.
Experience with Python for data analysis or automation.
Work Experience Required: 4+ years as explicitly mentioned.
Experienced in managing and delivering moderately complex technology or data projects with multiple stakeholders across India and US teams without direct authority.
Skilled in applying AI tools (Microsoft Copilot), automation frameworks, and data governance to operational and financial data within regulated financial services.
Able to analyze ambiguous business/data problems and translate them into structured use cases, requirements, and measurable outcomes.