Manager, or Senior Manager, Insights & Strategy (Measurement & Analytics)

Responsibilities

• Aid fellow team members in providing thought leadership, guidance, and direction for sports and entertainment marketing strategies and activation platforms.
• Build trusted relationships across clients and internal teams.
• Develop a comprehensive understanding of client marketing objectives and how Intersport’s practice groups can achieve those goals.
• Quickly learn and apply Intersport's proprietary sponsorship valuation methodology and the tools and processes that support it.
• Provide measurement and analytics-related support necessary for developing new business proposals, strategies, and recommendations to clients, prospects, and internal stakeholders.
• Analyze large, complex, and often incomplete datasets to support sponsorship valuation and strategic decision making.
• Help translate findings and develop recommendations and points of view to best leverage data, research, and analytics to inform sponsorship strategy, activation, and optimization.
• Create compelling presentations that combine analytical rigor with persuasive narrative to bring insights to life in the real world.
• Demonstrate excitement for findings and recommendations and apply an outward bound, consultative approach to informing colleagues, including members of the Insights & Strategy team, internal Intersport account teams, and external client teams, about how your findings can drive Intersport’s or a client’s business.
• Identify opportunities to improve methodologies and processes.

Qualifications

• Minimum of four (4) years of experience in sponsorship measurement, analytics, valuation, research, consulting, or related marketing disciplines.
• Demonstrated experience providing sponsorship measurement and analytics-focused deliverables.
• Exemplary verbal and written communication skills.
• Demonstrated ability to build trusted relationships with clients and cross-functional teams.
• Advanced Excel skills are essential, including manipulating large datasets, building analytical models, and improving efficiency.
• Detail and process orientated.
• Ability to produce high quality work at a fast pace.
• Flexibility to work both independently and as part of a team.
• Demonstrated success coaching, mentoring, or managing team members.