Head of Data & BI: Revenue Analytics & Dashboards

WNBA; Arlington (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Dallas Wings is seeking a Data & BI Director to lead analytics and build a dedicated BI function. You will deliver real-time dashboards across Ticketing, Partnerships, Marketing and Retail, shaping revenue tracking and pacing.

This is a hands-on role managing tools like Snowflake, Power BI, Salesforce and Archtics, with a focus on data governance and strategic vendor oversight. The ideal candidate has 5+ years in analytics, strong SQL, and experience in cloud data warehouses, plus Python or R.

Qualifications

• 5+ years in analytics, business intelligence or data roles.
• Strong SQL; hands-on with a cloud data warehouse such as Snowflake and Power BI.
• Python or R and dbt are a plus.
• Experience with Salesforce and Archtics/Ticketmaster preferred.
• Sports industry experience is a plus.

Responsibilities

• Build and maintain org-wide, real-time dashboards for revenue-to-goal, pacing and campaign performance across departments.
• Develop profitability views for tickets and contracted revenue; automate commissions and finance reporting.
• Produce executive and league reporting and respond to ad hoc analysis requests.
• Own analytics intake, prioritization and roadmap; guide vendor evaluations and data governance.

Skills

SQL

Power BI

Python

R

dbt

Snowflake

Salesforce

Archtics/Ticketmaster

Leadership

Analytics strategy

Education

Master's degree in Data Science / related field

Tools

Power BI

Snowflake

Salesforce

Archtics/Ticketmaster

dbt

Job description

Dallas Wings is seeking a Data & BI Director to lead analytics and build a dedicated BI function. You will deliver real-time dashboards across Ticketing, Partnerships, Marketing and Retail, shaping revenue tracking and pacing.

This is a hands-on role managing tools like Snowflake, Power BI, Salesforce and Archtics, with a focus on data governance and strategic vendor oversight. The ideal candidate has 5+ years in analytics, strong SQL, and experience in cloud data warehouses, plus Python or R.