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Mid-level role, metro location, and known global financial brand increase candidate density.
Core SQL and data-quality skills are transferable, but distribution/financial domain preference increases industry specificity.
Explicit 5–8 years requirement plus mandatory SQL and data-quality skills enforce moderate filtering.
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Own recurring and project-based data management processes for Distribution data to ensure trust, governance, and readiness for business operations, reporting, analytics, and AI/BI use cases.
Translate business needs into data rules, validation logic, control evidence, source-to-target mapping, and process improvements independently.
Lead cross-functional remediation for data issues and coach junior analysts on quality standards and stakeholder communication.
5-8 years of experience in data management, governance, operations, business intelligence, or financial services.
Proficiency in SQL and Microsoft Excel; experience with data profiling, reconciliations, validation logic, and source-to-target mapping.
Experience with customer relationship management, distribution, or financial services data preferred.
Work Shift Timings: 4:30 PM - 1:30 AM or 6:30 PM - 3:30 AM IST.
Experienced in independently managing data operations and remediations with strong ownership across mid-size initiatives.
Skilled in translating ambiguous business requirements into clear data rules, validations, and operational controls.
Familiar with financial services or distribution data environments and capable of cross-functional collaboration with technology and analytics teams.