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Trajektory is a data insights and valuation technology company serving the sports, media, and entertainment industries. Founded by former executives from the NFL, NBA, MLB, NHL, NCAA, WNBA, and e-sports, the company is scaling rapidly with a focus on sponsorship valuation analytics and data-driven insights.
As Head of Analytics, you will lead Trajektory's growing data operations team from the Chicago headquarters, serving as a core member of the leadership team. You'll manage a cross-functional department delivering Business Intelligence (BI) and Professional Services commitments while maintaining the highest standards of analytical rigor.
Key responsibilities include:
**Leadership & Team Management**: Bridge Business Intelligence, Professional Services, Sales, and Customer Success teams. Implement data-driven capacity planning to optimize project distribution and ensure on-time delivery of client data and reports.
**Sponsorship Valuation & Data Expertise**: Evolve and scale Trajektory's proprietary sponsorship valuation methodology across broadcast, social, digital, and in-venue channels. Drive data storytelling and thought leadership through analysis, studies, and white papers that position Trajektory as an industry authority. Maintain analytical excellence and rigor across all team deliverables.
**Professional Services & Custom Projects**: Collaborate with Sales and Customer Success to scope, price, and deliver custom consulting projects including league rate cards, naming rights valuations, and economic impact analyses. Develop standardized playbooks and templates to reduce manual work, optimize margins, and accelerate delivery.
**Customer Success & Go-to-Market Enablement**: Support Customer Success with CFO-ready benchmarking, white-space analysis, and executive summaries to drive renewals and expansions. Equip Sales and Marketing with data-driven talking points, industry reports, and case studies.
Required qualifications: 6+ years of leadership experience in Business Intelligence, Consulting, or Sports/Sponsorship Analytics. Deep understanding of the sports sponsorship ecosystem (broadcast media buying, social tracking, in-venue placement, demographic analysis). Strong SQL skills and experience with cloud data warehouses (BigQuery, Snowflake). Experience with statistical environments (R, SPSS, SAS) and BI visualization tools (Looker Studio, Tableau). B2B SaaS startup experience highly preferred. You should embody transparency, collaboration, and high-integrity work.
