Manager – Data Product Analyst

Role Overview

• Serve as a critical bridge between business stakeholders, analytics teams, and data management groups.
• Combine 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.
• Champion data stewardship and play a key role in eliciting requirements, documenting business processes, and facilitating alignment across technical and business teams.
• Collect, clean, and analyze data from multiple sources to uncover trends, patterns, and actionable insights.
• Translate analytical findings into clear, business‑friendly insights that support decision‑making.
• Elicit, document, and manage business, functional, and non‑functional requirements through techniques such as interviews, workshops, process analysis, and user story creation.
• Conduct stakeholder analysis to understand needs, roles, dependencies, and expectations across teams.
• Support prioritization by assessing business value, impacts, complexity, and risk.
• Ensure traceability of requirements from intake through development, testing, and deployment.
• Collaborate with data engineering analysts, architects, and engineers to ensure solutions reflect business context and use cases.
• Define testing acceptance criteria, support user validation, and provide structured feedback for continuous improvement.
• Monitor and enhance data quality through profiling, validation, remediation, and alignment with organizational priorities.

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 NFL use cases.
• Comfortable connecting data across multiple NFL systems and enriching datasets to enable new insights for football, 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.

Tech Stack

• AWS
• Cloud
• ETL
• Python
• SQL

Benefits

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