Data Product Analyst

Key Responsibilities

• Lead the discovery, onboarding, and integration of Flag Football data sources into the central data platform.
• Coordinate data acquisition efforts across clubs, international markets, leagues, federations, vendors, registration providers, and other third-party partners.
• Manage the Flag Football data roadmap, priorities, milestones, risks, dependencies, and stakeholder communications.
• Translate business needs into data requirements, user stories, acceptance criteria, and monitoring needs.
• Establish and maintain standardized data definitions, collection methodologies, schemas, and reporting frameworks.
• Partner with engineering, architecture, analytics, governance, privacy, and business teams to move data sources from discovery through production.
• Support source onboarding through data profiling, validation, testing, quality assessment, and issue resolution.
• Develop and maintain a comprehensive inventory of Flag Football data sources and integration opportunities.
• Coordinate recurring program updates, executive reporting, and cross-functional working sessions.
• Support the development of global participation measurement methodologies and reporting.
• Help establish participant-level data models, identity management approaches, and consent-aware data practices.
• Enable analytical capabilities that connect participation data to fan engagement, retention, and fandom outcomes.

Preferred Experience

• Experience working with sports, participation, registration, membership, fan, consumer, or youth-related data.
• Experience coordinating with external vendors, international organizations, or decentralized business partners.
• Familiarity with data governance, metadata management, privacy requirements, consent management, and data quality practices.
• Experience with participant identity resolution, customer data platforms, or master data management initiatives.
• Experience developing KPI frameworks, dashboards, executive reporting, and self-service analytics solutions.
• Knowledge of research methodologies, survey-based measurement, and longitudinal analytics.
• Experience working with AWS, Snowflake, GCP, or similar modern data platforms.