Analytics Engineer, WNBA Data Foundations (Remote 1 Day/Week)

National Basketball Association (NBA); New York (NY); Hybrid; USD 115,000 - 130,000; Full time

Job summary

The NBA is seeking an Analytics Engineer, WNBA to transform data from various sources into standardized analytical datasets that support reporting, advanced analytics, and AI product development.

You will own the semantic layer, build scalable data models, and collaborate with Data Engineering, Data Science, and business teams to enable self-service analytics and data-driven decisions across fan, subscription, engagement, and viewership data.

Qualifications

• 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.
• Advanced SQL skills with demonstrated experience developing complex analytical data models.
• Experience building production-ready data pipelines and transformations using a modern analytics engineering framework (e.g., dbt).
• Experience developing semantic layers, business metrics, or reusable analytical datasets that support reporting and self-service analytics.

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.

Skills

Advanced SQL

dbt

Dimensional modeling

Data pipelines

Semantic layer

Git workflows

Automated data quality testing

Communication

Education

Bachelor's degree in a technical or quantitative field

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

The NBA is seeking an Analytics Engineer, WNBA to transform data from various sources into standardized analytical datasets that support reporting, advanced analytics, and AI product development.

You will own the semantic layer, build scalable data models, and collaborate with Data Engineering, Data Science, and business teams to enable self-service analytics and data-driven decisions across fan, subscription, engagement, and viewership data.