Data Strategy Senior 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

The Client Data Services (CDS) team is a strategic data function within Enterprise Data Analytics that directly enables revenue growth, client engagement, and better decision-making through trusted data. The team delivers high-quality, governed client datasets that power sales strategy, analytics, and distribution intelligence across the firm. CDS operates as a cross-functional team combining data engineers, software engineers, and analysts who partner closely with Sales, Marketing, and business stakeholders.

Work is highly collaborative, fast-paced, and outcome-driven. Joining this team provides the opportunity to work on enterprise-scale data platforms, modern cloud technologies, and AI-enabled workflows, while continuously building technical depth and business context. How You Will Add Value ?

Core Responsibilities

You will build and own data products. You will develop and optimize data processing. You will improve pipeline performance and manage cost. You will partner with stakeholders on scalable solutions. You will ensure data quality and governance. You will troubleshoot issues and drive resolution. You will implement testing and CI/CD pipelines. You will define and enforce data/API contracts. What Will Help You Be Successful in This Role ?

Education & Experience

Bachelor’s degree in computer science, Engineering, or related field. Experience designing and building enterprise data pipelines and platforms.

Technical Skills

SQL, PL/SQL, and data modeling. AWS and relational/distributed databases. Python and/or Spark. Data pipeline tools. Control-M or Airflow. BusinessObjects or similar BI tools. Git, CI/CD, observability, and monitoring.

Soft Skills

Communicate complex data concepts clearly. Strong problem-solving mindset. Influence decisions across teams. 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.