Remote Analytics Engineer — Data & AI Platform

WNB WNBA; New York (NY); Hybrid; USD 115,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life/AD&D insurance

Disability insurance

Wellbeing allowance

Educational assistance

Mental health support

401(k) retirement plan

Paid time off

Job 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 SME for WNBA fan, subscription, engagement, and viewership data.

Responsibilities include building scalable data models, managing the semantic layer, ensuring data quality, and documenting governance

Qualifications

• Bachelor’s degree in a technical or quantitative field with 5+ years in analytics engineering, data engineering, or building analytical data models.
• Advanced SQL skills with experience in analytical data modeling.
• Experience with dbt or similar analytics engineering framework.
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Experience developing semantic layers and reusable analytical datasets.
• Strong communication and stakeholder management skills.

Responsibilities

• Own the design and development of analytical data models supporting reporting, analytics, and AI across the WNBA.
• Lead the development of the analytical data foundation by integrating fan identity, subscription, engagement, and viewership data.
• Identify recurring business questions and develop scalable datasets for self-service reporting.
• Develop and manage the semantic layer for WNBA analytical data with consistent definitions.
• Establish and maintain documentation using Alation and Confluence to improve discoverability and governance.
• Lead data quality efforts with automated testing, monitoring, and validation processes.
• Serve as internal SME for WNBA analytical data and partner with stakeholders to shape solutions.
• Partner with Data Science to support ML/AI initiatives.
• Collaborate with internal teams to onboard new data sources and expand capabilities.
• Continuously identify opportunities to improve models and data foundation.

Skills

Advanced SQL

dbt

Dimensional modeling

Snowflake

Databricks

BigQuery

Redshift

Semantic layer

Git workflows

Data quality testing

Education

Bachelor’s degree

Tools

Alation

Confluence

GitHub

Azure DevOps

Job description

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 SME for WNBA fan, subscription, engagement, and viewership data.

Responsibilities include building scalable data models, managing the semantic layer, ensuring data quality, and documenting governance