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Mid-level experience, metro Hyderabad, and a strong global brand increase competition despite niche finance data focus.
Domain-specific distribution and financial-services data requirements moderately limit cross-industry transfers.
Explicit 5-8 years plus mandatory SQL and data-quality skills create moderate resume filters.
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Own and execute recurring data management initiatives including client data updates, CRM/MSD issue resolution, AUM/flow validation, and trade resolution.
Define and implement data quality rules, validation logic, and operational controls to ensure trusted distribution data for reporting, analytics, and AI/BI use cases.
Lead cross-functional remediation cycles from issue identification through resolution, collaborate with technology and analytics teams, and maintain documentation and SOP improvements.
5-8 years of experience in data management, governance, operations, business intelligence, or financial services.
Proficiency in SQL and Microsoft Excel required.
Experience in data profiling, dataset reconciliation, validation logic execution, and documentation of business rules and data requirements.
Work Shift: 4:30 PM - 1:30 AM IST.
Experienced in independently owning data management projects and driving issue resolution with multiple stakeholders.
Demonstrates strong ability to translate ambiguous business needs into clear, durable data rules and operational controls.
Comfortable coaching junior analysts on quality standards and effective stakeholder communication within distribution or financial services data environment.