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Analytics Engineer, WNBA

Pay
$115,000–130,000/yearAnnual period assumed — pay source
Salary Range: $115,000 - $130,000 Job Posting Title:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

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.

Own the design and development of analytical data models that support reporting, analytics, and AI across the WNBA.

  • Design and develop analytical data models for reporting, analytics, and AI

  • Integrate fan identity, subscription, engagement, and viewership data into a unified fan view

  • Develop and manage the semantic layer with consistent business definitions

  • Build automated data quality tests, monitoring, and validation

  • Maintain documentation in Alation and Confluence for data discoverability

From the employer’s posting
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.
Own the design and development of analytical data models that support reporting, analytics, and AI across the WNBA.
integrating fan identity, subscription, engagement, and viewership data into a unified view of the WNBA fan journey.
Develop and manage the semantic layer for WNBA analytical data, ensuring consistent business definitions
Lead data quality efforts by developing automated testing, monitoring, and validation processes
Establish and maintain documentation, in conjunction with tools such as Alation and Confluence

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • Experience in sports, media, entertainment, or direct-to-consumer businesses preferred
Qualification wording
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
Education & alternatives
- 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.
Apply at Nba

Posting record

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Status in our records
Live
First seen by us
Sep 9, 202665 days ago
Recorded sightings
67
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$115K–$130K against $122K–$190K, the middle half of what similar US postings state.

From 333 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 65

Up longer than most. Similar jobs usually come down between day 7 and day 51.

Well past Nba’s usual: its jobs come down by about day 10.

From 1,664 similar postings that came down, and 8 of Nba’s. Coming down is not always a hire.

Nba is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Alation
  • Azure
  • BigQuery
  • Databricks
  • dbt
  • Redshift
  • Snowflake
Where the posting names them
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.
- 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.
- 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 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.
- 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.

Your next step

Complete your application on nba.wd108.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 83, the most 171, and the latest week had 95.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.


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.


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Pay
Salary Range: $115,000 - $130,000 Job Posting Title:
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New York, USA

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