Manager, Analytics Operations

Position Summary:

Our team is looking for an experienced valuation, analytics and modelling practitioner to serve as a key member of our Analytics Ops team supporting all Excel Analytics capabilities and offerings. The Analytics Ops team serves as the critical connective tissue between our engineering team and our client facing consultants. As part of that team, this role will support a range of initiatives centered on the evaluation and measurement of brand and talent partnerships in sports and entertainment. In addition, as part of Analytics Ops, this individual will play an important role in conceiving and developing new models, templates, approaches, automations and offerings supporting our team’s growth, efficiency and effectiveness.

 

 Role & Responsibilities:

• Support valuation modeling and partnership analysis across key Excel Sports Management (ESM) clients
• Generate meaningful insights from complex data sets that identify key partnership considerations and opportunities for optimization
• Work in partnership with the Client Analytics team to ensure full understanding of, and alignment around, the key metrics and results on all valuation and partnership ROI engagements
• Collaborate with Analytics Engineering team as needed on capability development and optimization initiatives to support consistent execution on team-wide priorities
• Conduct research and analysis on key topics in sponsorship and talent measurement in service to deepening our domain expertise
• As needed, develop insights and perspectives on key sponsorship dynamics at the brand category, sport and market level
• Conduct financial and econometric analysis on a range of sponsorship, brand, category and market-related topics in service to developing new insights and offerings

 

Education & Experience:

• Bachelor’s degree required, preferably in Business Administration, Statistical/Quantitative Analysis, Business Analytics or similar field
• 3-5 years of direct experience in sponsorship or brand marketing quantitative analytics
• 1-2 years direct experience in partnership valuation
• Sports marketing and/or agency experience is a plus

 

Knowledge, Skills & Abilities:

• Strong familiarity with database structures and querying syntax e.g.SQL, with working knowledge of R and Python a plus
• Working knowledge of advanced statistics and data modeling techniques, including regression and classification techniques, as well as use of techniques and tools appropriate for analysis of both structured and unstructured data
• Working knowledge of developing tools and dashboards within standard data viz tools such as PowerBI and Tableau
• Expertise in MS Excel (or comparable quantitative applications) with the ability to efficiently build models and assess data sets at scale
• Ability to develop frameworks for steering complex insight/analytics projects
• Demonstrated experience and interest in econometric analysis, with a track record of deploying that interest in service to financial modelling
• An action-oriented, self-starter who loves being a part of a dynamic team, but also can generate first-class work product independently when needed
• Must strive for the very best and have a “whatever it takes” attitude to go above and beyond for teammates and clients
• Has the ability to think strategically and creatively while identifying stakeholder needs, embodying a proactive, problem-solving approach
• Must exude emotional intelligence along with the ability to communicate and connect effectively and personably, recognizing the need to adjust communication based on the audience and situation
• Intellectually curious and proactive, recognizing opportunity and implementing procedures to enhance efficiencies across the team
• Uncompromised ethics and integrity, always focused on doing what is right for our clients

 

The pay range for this position is: $80,000 per year - $100,000 per year. This position is also eligible for benefits and discretionary bonus.  

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.