Related skills
r python tableau excel power bi📋 Description
- Support development of sponsorship measurement plans and analytics frameworks across clients.
- Conduct sponsorship asset valuations for brands, teams, leagues, events, and talent.
- Execute sponsorship measurement initiatives, including media exposure tracking and brand impact analysis.
- Manage day-to-day analytics workstreams across multiple projects.
- Partner with internal teams and external vendors on analytics research initiatives.
- Prepare client-facing and internal presentations, performance readouts, and strategic materials.
🎯 Requirements
- 4–6 years in sports marketing analytics or sponsorship measurement.
- Strong knowledge of sponsorship valuation methods and cross-channel analysis.
- Experience with Nielsen, Blinkfire, and industry platforms (SponsorUnited/GlobalData).
- Solid quantitative skills; able to interpret complex datasets across projects.
- Experience supporting brand health studies and ROI modeling.
- Proficiency in Excel, Tableau, Power BI, SPSS, R, or Python.
- Bachelor’s in Marketing/Business/Statistics/Economics; advanced degree a plus.
🎁 Benefits
- Hybrid schedule: Office in New York, NY with 3 days in-office and 2 days remote.
- Benefits include Vision, Medical, Dental, and Commuter Benefits.
- Inclusive, equal-opportunity workplace with Allied Sports’ global network.
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