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Soccer Data Analytics Jobs (NOW HIRING)

As a Data Analytics Lead, you'll own end-to-end analytics within a business function-shaping our data roadmap, bringing structure to ambiguous problems, and enabling smarter, faster decision-making ...

Oversee the use, governance and quality of data across soccer operations and promote data-informed ... Ensure all analytical work reinforces the Club's football philosophy and supports the broader game ...

... soccer, and eager to adopt new tools and processes. * Very high standards of professionalism. Requirements * Bachelor's degree in Sports Science, Coaching, Data Analytics, or a related field would be ...

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Soccer Data Analytics information

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$33K

$81.5K

$140K

How much do soccer data analytics jobs pay per year?

As of May 29, 2026, the average yearly pay for soccer data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a Soccer Data Analytics job?

A Soccer Data Analytics job involves analyzing data related to player performance, team tactics, and match statistics to derive insights that can improve decision-making. Analysts use data visualization, statistical models, and machine learning to assess player strengths, predict outcomes, and optimize strategies. They work with coaches, scouts, and front offices to provide data-driven recommendations for player recruitment, game tactics, and performance evaluation. Their role is crucial in modern soccer, where data helps gain a competitive edge.

What are the key skills and qualifications needed to thrive in the Soccer Data Analytics position, and why are they important?

To thrive in Soccer Data Analytics, a strong background in statistics, programming (such as Python or R), and a solid understanding of soccer tactics are generally required, often with a degree in data science, mathematics, or a related field. Familiarity with data visualization tools like Tableau, sports data platforms such as Opta, and certifications in analytics can further enhance your profile. Excellent communication, attention to detail, and the ability to work collaboratively with coaches and technical staff are valuable soft skills. These qualities are vital for extracting actionable insights that directly impact team performance and decision-making.

What does a typical day look like for someone working in Soccer Data Analytics?

A typical day in Soccer Data Analytics involves collecting and cleaning match and player data, performing statistical analyses, and creating visual reports to present findings to coaches and stakeholders. Analysts often work closely with coaching staff to tailor insights to current team strategies and may attend training sessions or matches to gain contextual understanding. Collaboration with other analysts, scouts, and performance departments is common, ensuring a shared approach to improving player performance and team tactics. The role balances independent analytical work with cross-functional teamwork, providing a dynamic and fast-paced work environment.
What cities are hiring for Soccer Data Analytics jobs? Cities with the most Soccer Data Analytics job openings:
What are the most commonly searched types of Soccer Data Analytics jobs? The most popular types of Soccer Data Analytics jobs are:
What states have the most Soccer Data Analytics jobs? States with the most job openings for Soccer Data Analytics jobs include:
What job categories do people searching Soccer Data Analytics jobs look for? The top searched job categories for Soccer Data Analytics jobs are:
Infographic showing various Soccer Data Analytics job openings in the United States as of May 2026, with employment types broken down into 15% Internship, 24% Full Time, 23% Part Time, 23% Temporary, and 15% Nights. Highlights an 7% Physical, 20% Hybrid, and 73% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Analytics Lead

Data Analytics Lead

Nourish

New York, NY • On-site

Other

Medical, Vision

Posted 15 days ago


Job description

About us

Nourish is on a mission to improve people's health by making it easy to eat well. Nutrition-related chronic disease is the largest and most overlooked crisis in the world. Food can be medicine: working with a Registered Dietitian is one of the most effective interventions available, but <1% of eligible Americans use their covered benefits.

Nourish is building an AI-native, patient-friendly healthcare system centered on nutrition that improves outcomes, lowers costs, and helps people live healthier, longer lives. We launched three years ago, are live in all 50 states, and already have thousands of dietitians and hundreds of thousands of patients on the platform.

We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised $115M from top-tier VCs including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, Maverick Ventures, Box Group, Atomico, G Squared, and Pinegrove Venture Partners. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion.

Learn more about us here and read about our recent Series B here.

About the Role

We're scaling quickly, and data is one of our most important strategic levers for unlocking growth and improving patient outcomes. As a Data Analytics Lead, you'll own end-to-end analytics within a business function-shaping our data roadmap, bringing structure to ambiguous problems, and enabling smarter, faster decision-making across the organization.

This role blends analytics engineering and strategic insights: you'll be responsible for building clean, scalable data models and pipelines, and surfacing clear, actionable insights that accelerate our impact. As one of our early hires focused on analytics at Nourish, you'll help define our long-term vision for data and collaborate closely across our Operations, Engineering, Product & Design teams.
Our data team is fully based in NYC and goes into the office 2-3 days a week, and while we don't have any required number of days in office, we're looking for people who would be excited to be part of that culture.

Key Responsibilities
  • Own the full analytics stack for a business-critical function: Take full ownership of the analytics workflow-from raw data to models, dashboards, and insights
  • Deliver high-impact insights: Partner closely with business stakeholders to proactively identify and lead analyses that answer key strategic questions, uncover growth and efficiency levers, and shape team priorities and roadmaps
  • Build dashboards that drive action: Design intuitive dashboards for a broad range of stakeholders that deliver clarity and enable fast decision-making
  • Build and maintain a robust data foundation: Partner with Engineering to validate and optimize pipelines, ensuring our data infrastructure is accurate, scalable, and supports a trusted single source of truth
  • Champion a data-first culture: Guide teams to interpret and act on data, write clear documentation, and lead by example in driving evidence-based decisions
  • Drive scientific decision-making: Use experimentation data, forecasting, and predictive analysis to inform forward-looking product and business strategy
We'd Love to Hear From You If You...
  • Have 4-8 years of experience: You've owned analytics for a business function or product area, ideally at a fast-paced, high-growth company
  • Bring deep domain expertise in analytics engineering: You write clean, performant SQL, have hands-on experience with tools like dbt, Fivetran, and Metabase or Looker, and have a strong grasp of the fundamentals of data modeling, ETLs, and infrastructure
  • Are curious, strategic, and outcome-oriented: You proactively shape the right questions, translate complex data into clear, actionable insights, and balance speed with depth to drive clear, high-impact decisions across the business
  • Are a builder who thrives on ownership and impact: You take pride in designing clean, scalable systems from scratch, and you're excited to take end-to-end ownership-filling gaps, creating structure, and becoming the go-to person others rely on for clarity
  • Communicate complex ideas with clarity: You distill deep analysis into crisp, actionable takeaways, whether writing a Notion doc or presenting to leadership, and you earn trust across cross-functional teams by speaking the language of both operations and engineering
  • Are motivated by impact and mission: You believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale by contributing to Nourish's mission

Compensation & Benefits
Mission & Vision & Success
Nourish Clinical Philosophy 
Values
Why Nourish Exists
How We Work