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Franklin Resources · Hyderabad, Telangāna, India

# Associate Distribution Data Management Analyst

Hyderabad, Telangāna, India Full-time Data & Analytics 

Listed on Franklin Resources’s official careers site. Posted October 14, 2026. Check that it is still open and apply there.
[Apply on Franklin Resources’s careers site →](https://careers.franklintempleton.com/us/en/job/869164/Associate-Distribution-Data-Management-Analyst)

[OpenNash Jobs](https://jobs.opennash.com/) / [Franklin Resources](https://jobs.opennash.com/companies/franklin-resources/) / Associate Distribution Data Management Analyst

## Job description

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

### About the Department

We are looking for a Associate Distribution Data Management Analyst to join the Distribution Intelligence team. This role owns defined data-management workstreams for Distribution, including BAU data operations, data clean-up, metadata maintenance, data-quality execution, ad hoc request support, and project validation. The analyst will bridge business users, source systems, technology partners, and analytics consumers by ensuring distribution data is accurate, traceable, well documented, and fit for use across sales, marketing, reporting, and AI/BI consumption.

The ideal candidate will combine hands-on data operations experience, analytical problem-solving, and clear business communication. This person will be comfortable investigating data issues, executing controls, supporting business users, and improving repeatable processes across distribution data domains. How will you add value?

### Distribution Data Operations

Work on day-to-day data operations requests from Distribution business partners, including client data updates, CRM/MSD ticket support, AUM/flow validation, trade resolution or reallocation support, and governed data corrections. Respond to ad hoc data questions, troubleshoot data integration or integrity issues, and provide basic technical analysis with clear business-facing explanations.

### Data Quality & Process Control

Document, maintain, and execute ongoing processes for data clean-up, metadata maintenance, SOP updates, and evidence retention. Run recurring data audits, reconciliations, quality checks, and UAT support based on BAU and project needs.

### Systems Knowledge & User Enablement

Develop working knowledge of upstream and downstream systems and explain how data flow affects Distribution users and reporting consumers. Share best practices with data consumers on the right source, field, process, and control path for common data needs.

### Continuous Improvement

Identify recurring manual work or defect patterns and propose practical improvements that reduce cycle time or improve accuracy. What Will Help You Be Successful in This Role?

### Experience, Education & Certifications

3-5 years of experience in data management or operations. Experience in financial services, banking, asset management, sales operations, or marketing operations preferred. Bachelor’s degree in engineering, computer science, information systems, business analytics, finance, or a related field preferred.

### Technical Skills

Basic to intermediate SQL proficiency. Advanced Microsoft Excel capabilities. Ability to analyse large datasets and identify exceptions. Experience with CRM platforms and ticketing workflows. Experience supporting data quality, data cleanup, and UAT activities.

### Soft Skills

Strong verbal and written communication skills. Ability to explain technical issues to business audiences. Strong analytical and problem-solving skills. Work Shift Timings - 2:00 PM - 11:00 PM ​IST At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

Highlights of our benefits include: Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Franklin Templeton is an Equal Opportunity Employer.

We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

## At a glance
- Posted by the employer: Oct 14, 2026
- First seen by OpenNash: Oct 20, 2026
- Last checked: Oct 20, 2026
- Listed for: 6 days
- Location: Hyderabad, Telangāna, India
- Employment type: Full-time[Apply on Franklin Resources’s careers site →](https://careers.franklintempleton.com/us/en/job/869164/Associate-Distribution-Data-Management-Analyst)

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