Manager, Data & Analytics

Position: Manager, Data & Analytics

Division: Partnership Solutions

Location: New York City or remote

Reports to: Vice President, Data & Analytics

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Company

Allied Sports launched in 2019 with a singular mission – to lead modern marketers in the undeniable shift from Sponsor to Storyteller™. Today, we are an independent, full-service agency operating from the Allied Global Marketing network. Led by industry veterans with a rookie spirit, our award-winning team helps buyers and sellers in sports find, negotiate, and activate high-performing partnerships. Sports Business Journal named Allied Sports one of the Best Places to Work in Sports for the past three years.

At Allied Sports, we let our values speak louder than our value proposition. We begin every weekly all-

company meeting by reinforcing the organizational values that define what it means to be Allied.

• Driven – All grit, no quit. We love what we do and use that drive to help our clients win every day.
• Versatile – Built for change. We strive for continuous improvement; progress, not perfection.
• Meticulous – Do the corners because details matter. Little things done well make big things happen.
• Real – We lead with transparency and vulnerability to empower teammates who feel heard and seen.
• One – We, not me. We always put team first and find every opportunity to reward the assist.

The Opportunity:

Allied Sports is seeking a Manager, Data & Analytics to support a diverse portfolio of clients across the agency, including brand partners, rights holders, and sports talent, spanning multiple lines of business such as advisory, sales, and talent representation.

Reporting to the Vice President, Data & Analytics, this role will support strategy, valuation, and measurement initiatives across active client engagements while also serving as a key internal resource for data-driven thinking, industry intelligence, and best practices. The Manager will help demonstrate the impact of sponsorship investments across media, brand, and business metrics and enable teams to make smarter, more informed partnership decisions.

This is a client-facing and internally collaborative role that requires strong experience in sponsorship measurement, valuation, and analytics execution. The ideal candidate is comfortable operating across multiple projects simultaneously, translating complex data into actionable insights, and supporting both external client work and internal agency needs.

Responsibilities

• Support the development and execution of sponsorship measurement plans and analytical frameworks across multiple clients, properties, and partnership types
• Conduct sponsorship asset valuations for brands, teams, leagues, events, and talent partnerships, leveraging media exposure data, sponsorship benchmarks, and internal valuation models
• Execute custom sponsorship measurement initiatives, including media exposure tracking, brand impact (survey-based) analysis, and ROI/business impact assessments
• Manage day-to-day analytics workstreams across concurrent projects, including data collection, vendor coordination, analysis, and reporting
• Partner with internal teams and external vendors to support quantitative and qualitative research initiatives tied to advisory, sales, and representation efforts
• Collaborate cross-functionally with Creative, Brand Strategy, Partnerships, and Sales teams to integrate insights into pitches, renewals, and go-to-market strategies
• Prepare and contribute to client-facing and internal presentations, performance readouts, and strategic materials that clearly communicate insights and implications
• Provide ongoing research and industry intelligence support to internal stakeholders, including market trends, category benchmarks, valuation norms, and sponsorship best practices
• Monitor industry trends, emerging analytics tools, and evolving measurement standards to ensure clients and colleagues receive best-in-class sponsorship intelligence
• Contribute to the continued development and documentation of analytics best practices, tools, and processes across the agency

Qualifications

• 4–6 years of experience in sports marketing analytics, sponsorship measurement, or related roles within an agency, brand, property, talent, or research environment
• Strong working knowledge of sponsorship valuation methodologies, including cross-channel media exposure analysis and benchmarking (hands-on valuation experience required)
• Experience working with media measurement vendors (e.g., Nielsen, Relo Metrics, Blinkfire) and industry intelligence platforms (e.g., SponsorUnited, GlobalData)
• Solid quantitative and analytical skills, with experience managing and interpreting complex datasets across multiple projects
• Experience supporting brand health studies, sponsorship effectiveness analyses, and ROI modeling
• Strong communication and storytelling skills, with the ability to translate data into clear insights for both client-facing and internal audiences
• Ability to manage multiple priorities in a fast-paced, client-service environment
• Familiarity with data analysis, visualization, and reporting tools (e.g., Excel, Tableau, Power BI, SPSS, R, or Python)
• Bachelor’s degree in Marketing, Business, Statistics, Economics, or a related field; advanced degree is a plus

Considerations

• Base salary range: $80,000 - $100,000 annually
• Hybrid schedule: Office in New York, NY with 3 days in-office (Tues-Thurs) and 2 days remote (Mon & Fri) weekly.
• Benefits include Vision, Medical, Dental, Commuter Benefits etc.

Base salary represents the salary range that Allied Sports, in good faith, might be willing to pay for this job at the time of this posting. Actual base salary depends on several factors, including market dynamics, location and region, experience, specialized skills/training (education), and level of responsibility. Allied Sports expects to hire for this position near the middle of the range. Allied Sports would consider paying a salary or rate near the higher end of the range only in truly exceptional circumstances, where an external candidate has experience, credentials, or expertise that far exceed those required or expected for the position.

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