Job description

WORK OPTION: The NBA currently provides eligible employees the option of working remotely one day per week. _________________ Position Summary The Analytics Engineer, WNBA will transform data from first- and third-party systems into standardized analytical datasets that support reporting, advanced analytics, AI product development, and data enablement. Reporting to the Business Intelligence Platforms Lead, this role will serve as DSA s subject matter expert for WNBA fan, subscription, engagement, and viewership data, including WNBA ID, Evergent, Amplitude, Bitmovin, and strategic media partners. Major Responsibilities Own the design and development of analytical data models that support reporting, analytics, and AI across the WNBA. Lead the 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, in conjunction with tools such as Alation and Confluence, to improve the 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 DSA s 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. Required Skills/Knowledge Advanced SQL skills with 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 (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. Experience/Education Bachelor’s degree required with a technical or quantitative field preferred 5 years of experience in analytics engineering, data engineering, or building analytical data models within cloud data platforms. Experience in sports, media, entertainment, or direct-to-consumer businesses preferred Salary Range: $115,000 - $130,000 Job Posting Title: Manager Employees currently are eligible to receive an annual discretionary performance bonus, awarded at the sole discretion of the Company and subject to any terms and conditions set by the Company. Employees and/or eligible dependents may be eligible to participate in the following Company-sponsored employee benefit programs: medical; dental; vision; life/AD&D insurance; short- and long-term disability; fertility and family-forming assistance; wellbeing allowance; educational assistance; mental health coaching/therapy; tax advantaged accounts such as HSA and healthcare/dependent care FSAs; a 401(k) retirement plan; and time off benefits that include vacation, sick time, and personal days. The NBA does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to the NBA will be considered NBA property, and the NBA will not pay a fee should it hire the subject of any unsolicited resume. The NBA considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law. The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and their families, our visitors, and the broader community from COVID-19, and in consideration of recommendations from health authorities and the NBA’s own advisors, any individual working onsite in our New York and New Jersey offices must be fully vaccinated against COVID-19. The NBA will discuss accommodations for individuals who cannot be vaccinated due to a medical reason or sincerely held religious belief, practice, or observance. About the WNBA The WNBA is a bold, progressive basketball league that stands for the power of women.  Featuring 15 teams, the W is a unique sports property that combines competition and entertainment with a commitment to diversity and inclusion and social responsibility.  Through its world-class athletes, the in-game fan experience, TV and digital broadcasts, digital and social content and community outreach programs, the league celebrates and elevates the game of basketball and the culture around it.

Requirements

Must-haves

WORK OPTION: The NBA currently provides eligible employees the option of working remotely one day per week. _________________
Major Responsibilities
Own the design and development of analytical data models that support reporting, analytics, and AI across the WNBA.
Lead the 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, in conjunction with tools such as Alation and Confluence, to improve the 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 DSA s 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.
Required Skills/Knowledge
Advanced SQL skills with 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 (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.
Experience/Education

Nice-to-haves

Bachelor’s degree required with a technical or quantitative field preferred
Experience in sports, media, entertainment, or direct-to-consumer businesses preferred

Application prep

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Keywords to mirror

aimachine learningsqlazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)