Data Product Analyst

Role Overview

• The Data Product Analyst serves as a critical bridge between business stakeholders, analytics teams, and data management groups.
• This role combines strong data analysis capabilities with core business analysis skills to ensure that data is effectively leveraged to inform strategic decision making, improve processes, and influence solution design.
• In addition to championing data stewardship, the Data Product Analyst plays a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.

Requirements

• Bachelor's degree in information systems, business analysis, or related fields.
• 2–5 years of experience in data analysis, business analysis, product analytics, or similar roles.
• Proven ability to work effectively in cross‑functional environments and support the delivery of data products that serve multiple stakeholders.
• Skilled at requirements elicitation, process mapping, and translating business needs into technical specifications.
• Skilled in crafting user stories, acceptance criteria, and high‑quality product and data documentation to support scalable, repeatable workflows.
• Strong understanding of data stewardship principles, including data quality, lineage, metadata management, and responsible data use and the ability to adapt analytical and stewardship skills across a wide range of client use cases.
• Comfortable connecting data across multiple client systems and enriching datasets to enable new insights for sports, fan, and business stakeholders.
• Excellent communication, with the ability to tailor messages for both technical teams (engineering, data science) and business stakeholders (club personnel, league departments).
• Champions a consumer-first mindset, consistently grounding product, data and insights decisions with a deep understanding of consumer behaviors and needs.
• Collaborative mindset with the ability to influence without authority and drive alignment across cross‑functional teams.
• Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines.

Tech Stack

• Python
• SQL

Benefits

• For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits