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dataroles

Data Product Analyst

Fa Ewjt Saasfaprod1 Open
United States Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Fa Ewjt Saasfaprod1. United States · full-time · no salary stated · we estimate $86,000–$135,000 across the United States.

Estimated pay

Fa Ewjt Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.

$86,000 – $135,000
What the middle half of mid-level data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 905 postings that stated pay, median $105,892. Last updated Nov 6, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationUnited States
EmploymentFull-time
PostedSep 29, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Bring Flag Football data sources into the central platform, coordinating access with clubs, leagues and other partners
  • Run the data roadmap, tracking priorities, milestones, risks and dependencies while keeping stakeholders informed
  • Turn business needs into data requirements, user stories, acceptance checks and monitoring plans
  • Work with technical and business teams to take sources from discovery into production, including validation and issue resolution
  • Build source inventories and support global participation measurement, participant data models and consent-aware practices

What you bring

  • At least three years in data product management, data strategy, analytics, business analysis or a related area
  • Experience taking complex data integration or platform programs from planning through implementation
  • You understand pipelines, APIs, file integrations, ETL or ELT, data modeling and cloud platforms
  • You have used SQL and data analysis methods, and can turn business requirements into technical solutions

Who this fits

This role suits someone who can coordinate technical and business stakeholders while managing several priorities. Experience with sports or participation data, external partners, privacy, identity resolution or measurement is relevant.

From the employer

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.

Required Qualifications

  • 3+ years of experience in data product management, data strategy, analytics, business analysis, or a related field.
  • Experience leading complex data integration or data platform initiatives from planning through implementation.
  • Strong understanding of data pipelines, APIs, file-based integrations, ETL/ELT processes, data modeling, and cloud-based data platforms.
  • Demonstrated ability to manage cross-functional programs involving both technical and business stakeholders.
  • Experience gathering requirements, defining business processes, and translating needs into technical solutions.
  • Strong analytical and problem-solving skills with experience using SQL and data analysis techniques.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities and stakeholders in a fast-paced environment.

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.
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.