Job Description:

• 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.
• 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.
• Skilled at navigating ambiguity, asking the right clarifying questions, and moving teams toward clarity and action.
• Naturally curious, with a passion for exploring new data sources, uncovering insights, and improving data quality.
• Strong critical thinking and structured problem‑solving, especially when interpreting incomplete, messy, or evolving datasets.
• Strong analytical toolkit leveraging SQL, Python, and data querying tools to explore, transform, and validate complex datasets that span across multiple product disciplines.
• Working knowledge of data modeling, ETL/ELT pipelines, and cloud data platforms (e.g., Snowflake, Databricks, AWS) to support reliable data products.
• Experience working in digital and D2C environments with exposure to clickstream, customer engagement, and media analytics data, including tools such as Adobe Analytics and Google Analytics.

Benefits:

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