Responsibilities

• Advisory: Leverage our deep relationships and knowledge base with agencies, brands, rights holders, and consumers across the globe to create strategies that drive both brand value and business results for our clients and their partners.
• Advisory: Curate strategy for clients based upon market trends, measurement, value drivers, potential opportunities etc.
• Advisory: Identify the value and objectives for clients, and curate strategy around positioning an offerings in the marketplace
• Advisory: Facilitate the work to inform the strategy for key partner programs, and identification of growth opportunities to be used in renewals and negotiations.
• Advisory: Leads the day-to-day management of select partnerships, with focus on working directly with client team members, executing deliverables, measuring/analyzing data points, and providing strategic recommendations to both internal and external stakeholders.
• Advisory: Ensure that projects are produced according to SOW, on-time, and are aligned with client expectations and budgets.
• Analytics: Combining KPI’s unique insights and technological expertise with both trade and proprietary research tools, informs strategy and platform development, partnership evaluation and recommendations, and value associated with ROI & ROO.
• Analytics: Provide partners with dynamic measurement and reporting across key metrics, and demonstrate performance of partners across a variety of data types and sources.
• Analytics: Help implement the data analytics vision for business decision making through Tableau dashboard design for clients.
• Analytics: Monitor trends in the sports, entertainment, and technology landscapes to keep team members and executives up to date, and identify new opportunities.

Requirements

• Bachelor’s Degree required, MBA preferred.
• 3 to 5 years of business strategy, consulting, or agency experience (preferably in the sports/entertainment industry)
• 2+ years of professional experience with data visualization tools (Tableau, PowerBI, Looker)
• 2+ years of professional experience with SQL, SAS, R, Python, and/or another statistical programming language a plus
• Proficient in Microsoft Suite, particularly with PowerPoint, Word and Excel
• Strong organizational, analytical, and technical skills
• Knowledge of sponsorship

Preferred

• MBA preferred