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Hyderabad, Telangana, India
Onsite
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 Distribution Data Management Analyst to join the Distribution Intelligence team. This role independently owns recurring and project-based data-management processes that ensure Distribution data is trusted, governed, and ready for use across business operations, reporting, analytics, and AI/BI use cases. The analyst will translate business needs into data rules, validation logic, control evidence, source-to-target expectations, and durable process improvements while partnering across Distribution Intelligence, technology, and business stakeholders.
The ideal candidate will combine strong data-management and SQL skills with independent ownership and cross-functional collaboration. This person will translate business needs into durable data rules and controls, lead issues through resolution, and help junior analysts apply consistent evidence and quality standards.
Data Operations Ownership:
Independently own BAU and mid-size data-management initiatives, including client data updates, CRM/MSD issue resolution, AUM/flow load validation, trade resolution or reallocation support, onboarding support, and project data readiness.
Data Quality & Requirements:
Define and execute data-quality rules, root-cause analysis, exception workflows, and validation evidence for assigned data domains.
Translate ambiguous business requests into clear field definitions, transformation logic, test cases, acceptance criteria, and operational controls.
Cross-Functional Remediation:
Partner with technology, architecture, and analytics teams to resolve data issues and improve upstream and downstream data flow.
Lead remediation cycles from issue intake through analysis, stakeholder alignment, correction, validation, and closure.
Documentation & Team Development:
Maintain and improve SOPs, data dictionaries, process maps, control checklists, and reusable troubleshooting guidance.
Coach junior analysts on evidence standards, escalation judgment, data-quality checks, and stakeholder communication.
Experience, Education & Certifications:
5-8 years of experience in data management, governance, operations, business intelligence, or financial services.
Technical Skills:
Proficiency in SQL and Microsoft Excel.
Experience profiling datasets and performing reconciliations.
Experience designing and executing validation logic.
Knowledge of data lifecycle and data lineage concepts.
Experience with source-to-target mapping and quality controls.
Ability to document business rules and data requirements.
Experience with customer relationship management, distribution, or financial services data is preferred.
Soft Skills:
Strong verbal and written communication skills.
Ability to translate business needs into data requirements.
Strong analytical and problem-solving skills.
Ability to work independently and take ownership.
Effective prioritization and workload management skills.
Commitment to continuous process improvement.
Work Shift Timings - 4:30 PM - 1:30 AM 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:
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.
