Sponsorship Analyst supporting a diverse client portfolio across sports marketing analytics. Assisting in data-driven decision making with internal research and analytics strategies.
Responsibilities
Assist with day-to-day management of internal research requests emanating from both brand marketing and partnership development (commercial) teams, respectively
Provide data-oriented client support for both brand and property clients related to questions of sponsorship strategy, deal/asset valuation, and marketing performance measurement
Leverage data to generate industry and fan insights related to existing client endeavors as well as prospective clients (new business pitches, RFP responses, etc.)
Provide general communications and administrative support related to Allied Sports analytics services, particularly w/r/t internal research request pipeline management
Learn and utilize Allied Sports research toolkit including subscription-based services related to consumer demographics/behaviors, business intelligence, industry news aggregators, and media measurement
Manage relationships with existing and potential research vendors as part of the on-going development of our Allied Sports research toolkit, or for ad hoc client projects
Assist with presentations/decks, development of client-facing materials, and research-related storytelling including data visualization
Interface directly with brand and property clients when/where data/research support is needed
Requirements
Minimum 0–2 years of experience in sports marketing analytics, sponsorship measurement, or related roles within an agency, brand, property, talent, or research environment
Understanding of basic principles of data organization, manipulation, and cleaning (constructing data frames/tables, variables vs observations, sorting and labeling, statistical analysis)
Some agency experience or equivalent academic understanding of sports, sports marketing, sponsorships/partnerships, event marketing, valuation, and ROI measurement
Ability to think analytically, grasp data concepts/ trends, and articulate data stories in layman’s terms (i.e. data storytelling)
Ability to problem-solve independently and in groups
Excellent time management, written, and oral communication skills
Proficient in Microsoft suite, particularly Microsoft Excel
Preference for experience with data analysis tools like R/R Studio, Python, syndicated consumer research services like YouGov, Simmons, GWI, or custom survey/ polling work (questionnaire development, fielding, data crosstabulation, etc.)
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