Analytics Manager

About the role:

EXL is looking for an experienced Analytics Manager with a sports background who will play a crucial role in providing analytics support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to partner closely with business and club stakeholders to identify high-value opportunities where data, analytics, and advanced insights can drive business outcomes.

The ideal candidate brings a strong understanding of sports club business operations and fan lifecycle, combined with the ability to engage with senior stakeholders, understanding their strategic priorities and challenges, developing analytics-led solutions, and working closely with data science and analytics teams to deliver measurable value to clubs.

Responsibilities:

• Build trusted relationships with club and league stakeholders and understand their strategic priorities, business challenges, and opportunities.
• Proactively identify areas where data and analytics can help clubs grow their fan base, increase revenue, and deepen fan engagement.
• Partner with data scientists and analysts to translate business questions into analytical requirements, hypotheses, and solutions.
• Ensure analytics products and models are designed with the end user and business decision in mind.
• Use SQL extensively to extract, transform, analyze, and validate data.
• Perform exploratory and diagnostic analysis to uncover trends, patterns, opportunities, and business drivers.
• Use Python/Pandas and other analytical tools for deeper analysis, modeling, and visualization where appropriate.
• Maintain technical depth to independently investigate data, validate analyses, and contribute directly to analytical deliverables.
• Build executive-ready presentations and narratives that connect data to business outcomes.

• Required Skills
• 5+ years of experience in analytics, business strategy, consulting, or a related field, with meaningful experience working directly with a professional sports club/team or league.
• Demonstrated experience working directly with business stakeholders to identify and solve business problems.
• Strong business acumen with the ability to understand business objectives and translate them into analytics opportunities
• Strong SQL skills and hands-on experience working with large datasets.
• Experience with Python/Pandas or a similar analytics programming language Strong presentation, storytelling, and stakeholder management skills.
• Ability to operate independently in ambiguous environments and proactively identify opportunities.