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National Basketball Association

Professional basketball league generating multi-stream revenue

Analytics Engineer - WNBA

Data EngineeringUpdated on Nov 14
Full-timeNew York, NY, USA

About the Job

Requirements

  • Advanced SQL skills and demonstrated experience developing complex analytical data models.
  • Experience building production-ready data pipelines and transformations using dbt or a similar analytics engineering framework.
  • Strong understanding of dimensional modeling, data warehousing, and analytics engineering best practices.
  • Experience working with cloud-based data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
  • Experience developing semantic layers, business metrics, or reusable analytical datasets that support reporting and self-service analytics.
  • Familiarity with Git-based development workflows, including GitHub or Azure DevOps, and collaborative software engineering practices.
  • Experience implementing automated data quality testing, monitoring, and documentation as part of analytics engineering workflows.
  • Strong communication and stakeholder management skills, with the ability to translate business requirements into scalable analytical solutions.
  • A bachelor's degree is required; a technical or quantitative field is preferred.
  • At least five years of experience in analytics engineering, data engineering, or building analytical data models within cloud data platforms.

Responsibilities

  • Own the design and development of analytical data models that support reporting, analytics, and AI across the WNBA.
  • Lead development of the WNBA's analytical data foundation by integrating fan identity, subscription, engagement, and viewership data into a unified view of the WNBA fan journey.
  • Identify recurring business questions and develop scalable data models and reusable datasets that reduce manual analysis and enable self-service reporting.
  • Develop and manage the semantic layer for WNBA analytical data, ensuring consistent business definitions and reusable datasets for reporting, self-service analytics, and AI applications.
  • Establish and maintain documentation, using tools such as Alation and Confluence, to improve discoverability, understanding, and governance of WNBA analytical data assets.
  • Lead data quality efforts by developing automated testing, monitoring, and validation processes to identify, prevent, and remediate data issues.
  • Serve as the internal subject matter expert for WNBA analytical data, partnering with stakeholders to shape analytical solutions, identify new data opportunities, and support evolving business needs.
  • Partner with Data Science and Analytics teams to develop analytical datasets that support advanced analytics, experimentation, machine learning, and AI initiatives.
  • Collaborate with internal business teams, Data Engineering, and external partners to onboard new data sources and expand the WNBA's analytical capabilities.
  • Continuously identify opportunities to improve analytical data models, analytics engineering practices, and the overall data foundation supporting the WNBA.

Desired Qualifications

  • Experience in sports, media, entertainment, or direct-to-consumer businesses.

About the Company

National Basketball Association

Professional basketball league generating multi-stream revenue

The NBA is a professional basketball league in North America with 30 teams that runs the regular season, playoffs, and the NBA Finals to crown a champion each year and serves fans, players, sponsors, broadcasters, and digital audiences. It makes money from broadcasting rights, ticket sales, merchandise, sponsorships, and digital content; games are shown on TV or online, live events sell tickets, and fans buy team gear and access highlights, interviews, and other digital material, while sponsors advertise during games and promotions. It differentiates itself through a large, globally recognized brand, a stable 30-team competition, long-running media rights, and strong engagement across live events and digital channels. Its goal is to crown a champion each season while growing its global audience and maximizing value for fans, teams, sponsors, and media partners.

Company size
501-1,000
Company stage
Acquired
Total funding
$14M
Headquarters
Indianapolis, IN
Founded
1946

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