Project Employee - Business & Fan Intelligence Analyst – WNBA

National Basketball Association (NBA)New York, NY
Hybrid

About The Position

The WNBA is seeking a detail-oriented and data-savvy Business & Fan Intelligence Analyst to join our Strategy & Business Intelligence team on a project employee basis. This role will play a critical part in supporting league and partner objectives by delivering high-impact fan intelligence outputs and custom analyses. The ideal candidate has 3–5 years of experience in business analysis, market research, or fan insights, and is adept at transforming data into clear, compelling narratives for internal and external stakeholders. Experience working with SQL and cloud data warehouses (e.g., Snowflake) to analyze and segment fan data is highly valued.

Requirements

  • 3–5 years of professional experience in business analytics, sports, market research, consumer insights, or a related discipline.
  • Demonstrated ability to work with large data sets and translate complex data into clear, actionable insights.
  • Strong proficiency in SQL and experience working with cloud data warehouses (e.g., Snowflake) to query, transform, and analyze large datasets.
  • Strong proficiency in Excel and business intelligence or data visualization tools (e.g., Tableau, Power BI, Streamlit, HEX).
  • Strong communication and presentation skills with the ability to deliver findings clearly to both technical and non-technical audiences.
  • Analytical and curious — always digging deeper to uncover meaningful insights.
  • Client-service mindset — responsive, adaptable, and solutions-oriented.
  • Highly organized and capable of managing multiple projects under tight deadlines.
  • Passionate about sports and excited to contribute to the growth of women’s sports.

Nice To Haves

  • Experience working in or adjacent to the sports, media, or entertainment industry is highly preferred.
  • Experience with survey design, syndicated research tools (e.g., YouGov, Nielsen, Vision Insights), or fan intelligence platforms (e.g., Zoomph, Relo Metrics, Conviva) is a plus.

Responsibilities

  • Partner-Focused Intelligence Delivery Create customized fan insight deliverables for current WNBA partners leveraging first-party fan data and audience segmentation to inform brand activations, sponsorship performance, and audience alignment.
  • Collaborate directly with partnership and data implementation teams to understand client needs and tailor analyses accordingly, and present deliverables to clients in a clear and impactful manner
  • Data Analysis & Visualization Analyze fan behavior, demographics, media consumption, and engagement trends using the WNBA’s Fan Data Platform (FDP), with a strong emphasis on first-party data, leveraging SQL and Snowflake to query, transform, and analyze large datasets.
  • Build intuitive dashboards and visualizations to support storytelling (e.g., Tableau, Power BI, Excel, HEX, dbt, or similar tools).
  • Fan Segmentation & Profiling Collaborate with the Data Implementation team to utilize the WNBA FDP and market research in developing actionable fan segments and profiles for use in partner advertising, business growth strategy and sponsorship campaign execution.
  • Leverage SQL and Snowflake to transform, model, and prepare fan data for segmentation and downstream analysis, ensuring scalable and repeatable audience creation.
  • Assist in enhancing fan lifecycle insights and behavior-based segmentation for WNBA partners with access to the WNBA FDP.
  • Data Stewardship Ensure data accuracy, consistency, and best practices in reporting and analysis.
  • Help maintain centralized fan data assets and contribute to improving data infrastructure including supporting data transformation and modeling processes within Snowflake or similar environments.

Benefits

  • Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical; short-term disability; mental health coaching/therapy; and sick time.

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What This Job Offers

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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