Analytics Manager

EXL; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

EXL is seeking an Analytics Manager- Sports to partner with club stakeholders, translate strategic priorities into analytics initiatives, and deliver actionable insights that drive fan engagement and revenue growth.

The role requires collaboration with data science teams, strong SQL and Python capabilities, and the ability to present executive-ready narratives that connect data to business outcomes.

Qualifications

• 5+ years of experience in analytics, business strategy, consulting, or a related field.
• Experience working directly with professional sports clubs/leagues.
• Strong SQL skills and hands-on experience with Python/Pandas.
• Ability to engage with senior stakeholders and translate business questions into analytics opportunities.

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.

Skills

Analytics

Business strategy

Stakeholder management

SQL

Python/Pandas

Data storytelling

Independent work

Tools

SQL

Python

Job description

EXL is looking for an experienced Analytics Manager- Sports 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.