About the role

Franklin Templeton’s Distribution Intelligence team seeks an Associate Distribution Data Management Analyst to ensure accurate, traceable distribution data for sales, marketing, and reporting. Based in Hyderabad, this full-time role involves day-to-day data operations, quality execution, and process improvement within a hybrid work model. The position requires bridging business users and technology partners to support AI/BI consumption and client success.

What you’ll do

Manage day-to-day data operations requests including client data updates, CRM support, and trade resolution.
Troubleshoot data integration issues and provide technical analysis with business-facing explanations.
Document and execute processes for data clean-up, metadata maintenance, and SOP updates.
Run recurring data audits, reconciliations, quality checks, and UAT support.
Develop knowledge of upstream/downstream systems and explain data flow impacts.
Identify recurring manual work patterns and propose improvements to reduce cycle time.

What you’ll bring

3-5 years of experience in data management or operations.
Bachelor’s degree in engineering, computer science, information systems, business analytics, finance, or related field preferred.
Basic to intermediate SQL proficiency.
Advanced Microsoft Excel capabilities.
Experience with CRM platforms and ticketing workflows.
Experience supporting data quality, data cleanup, and UAT activities.

Nice to have

Experience in financial services, banking, asset management, sales operations, or marketing operations preferred.

Skills

SQL ProficiencyMicrosoft ExcelData QualityCRM PlatformsTicketing WorkflowsUAT SupportData AnalysisProblem Solving

Benefits

Professional development growth opportunities through in-house classes and web-based training courses.
Educational assistance program for continuing education.
Medical, Life, and Personal Accident Insurance covering employees and dependents.
Employee Stock Investment Plan (ESIP) and personal loan assistance.
Onsite fitness center, recreation center, cafeteria, transport facility, and child day care.

Education

Bachelor’s degree in engineering, computer science, information systems, business analytics, finance, or a related field preferred.