Position: Analytics Manager Location: Remote in US Salary: $100k-$120k USD + bonus + benefits The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Key Skills for This Role
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Responsibilities:
Identify and shape analytics opportunities with league and club stakeholders
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.
Translate business problems into well-defined analytics opportunities, hypotheses, and use cases
Help prioritize opportunities based on business impact, data availability, scalability, and feasibility
Translate business needs into analytics solutions
Partner with data scientists and analysts to translate business questions into analytical requirements, hypotheses, and solutions.
Define analytical approaches, success metrics, required data, and expected business outcomes.
Ensure analytics products and models are designed with the end user and business decision in mind.
Perform hands-on analytics and develop actionable insights
Use SQL extensively to extract, transform, analyze, and validate data.
Perform exploratory and diagnostic analysis to uncover trends, patterns, opportunities, and business drivers.
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Work with large and complex datasets and combine information from multiple data sources.
Use Python/Pandas and other analytical tools for deeper analysis, modeling, and visualization where appropriate.
Turn analytical findings into clear, practical recommendations that clubs can act upon
Maintain technical depth to independently investigate data, validate analyses, and contribute directly to analytical deliverables.
Communicate with stakeholders and support delivery
Present complex analytical concepts and findings in a simple, compelling, business-oriented manner.
Build executive-ready presentations and narratives that connect data to business outcomes.
Review analytical approaches, outputs, and recommendations to ensure quality and business relevance
Responsibilities: Identify and shape analytics opportunities with league and club stakeholders 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. Translate business problems into well-defined analytics opportunities, hypotheses, and use cases Help prioritize opportunities based on business impact, data availability, scalability, and feasibility Translate business needs into analytics solutions Partner with data scientists and analysts to translate business questions into analytical requirements, hypotheses, and solutions. Define analytical approaches, success metrics, required data, and expected business outcomes. Ensure analytics products and models are designed with the end user and business decision in mind. Perform hands-on analytics and develop actionable insights Use SQL extensively to extract, transform, analyze, and validate data. Perform exploratory and diagnostic analysis to uncover trends, patterns, opportunities, and business drivers. Work with large and complex datasets and combine information from multiple data sources. Use Python/Pandas and other analytical tools for deeper analysis, modeling, and visualization where appropriate. Turn analytical findings into clear, practical recommendations that clubs can act upon
Qualifications
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.
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.
About EXL
Professional Services10,001+Founded 1999
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.