Business Analyst (Index/Benchmark Data Products)

Position Overview

The Data Product team operates within T. Rowe Price’s Chief Data Office (CDO) and plays a central role in developing, delivering, and managing critical data products that underpin the firm’s operations. As part of a unified data strategy, the team collaborates with business users and data consumers to drive innovation and excellence.

We are looking for a Data Product Business Analyst to advance enterprise data product initiatives, focusing on Index/Benchmark and Security Analytics reference datasets. In this role, you will analyze complex data, design solutions, communicate insights, and support the data product roadmap while working in a cross‐functional environment.

Key Responsibilities

• Data Analysis: Analyze and document index/benchmark data product requirements for functions such as Front Office Investments, Trading, Counterparty Risk, and Investment Compliance.
• Solution Development: Contribute to the design and development of foundational data products within the Data Product Framework alongside data consumers, technical partners, and governance teams.
• Requirements Management: Collect, document, and communicate requirements in partnership with the Data Product Owner to ensure alignment with business objectives and technical feasibility.
• Cross-Functional Collaboration: Engage with stakeholders across business and technology to drive data product development from ideation to launch and maintenance, ensuring compliance with index data licensing.
• User Experience Advocacy: Promote user-centered design to ensure data products meet user needs and foster adoption.
• Risk Management: Identify risks and dependencies, develop mitigation plans, and proactively resolve issues.
• Vendor Communication: Liaise with external vendors to clearly articulate requirements and proposed solutions.

Required Qualifications

• Bachelor's or Master's degree, or equivalent education and experience.
• 2+ years of relevant experience, ideally within Asset Management or a related sector.
• Proven ability to take ownership of issues and drive solutions.
• Capable of working independently and collaboratively within global teams.
• Strong grasp of data management concepts, including governance, operations, modeling, and architecture.
• Experience with modern data management and governance tools (e.g., data modeling, metadata management, data catalog/marketplace).
• Background in Agile, cross‐functional team environments.
• Analytical mindset with strong data-driven decision-making skills.
• Track record of delivering long-term business value.
• Strong proficiency in SQL.
• Experience with cloud-based data processing and database technologies.
• Knowledge of object-oriented programming (Python, R) and programmatic prototyping.
• Advanced expertise in Excel.

Preferred Qualifications

• Direct experience implementing index/benchmark data solutions (e.g., Rimes, Bloomberg PolarLake, S&P EDM, LSEG/Refinitiv, Factset).
• Experience working with index/benchmark service providers (e.g., FTSE, Bloomberg, MSCI, S&P).
• Familiarity with Bloomberg PORT, Data License (Bulk/BO files, Per security), B-PIPE, or API.
• Familiarity with a variety of asset classes including Equities, Fixed Income, Municipals, Bank Loans, Money Market, Mortgages, FX, and Derivatives.

Benefits & Perks

• Hybrid Work Flexibility: Eligible for up to three days per week working from home.
• No FINRA License Required: FINRA licenses are not required for this role.
• Applicants must have work authorization that does not require visa sponsorship in the United States.