Remote Sports Operations Data Analyst

Drive the Future of Sports Intelligence from Anywhere

Are you passionate about the intersection of sports and data? Do you thrive in a dynamic environment where insights shape performance, strategies, and decisions? If you're looking for a remote opportunity where your analytical skills make an immediate impact, this is your moment to shine.

We're seeking a Remote Sports Operations Data Analyst ready to turn raw statistics into game-changing insights. This role invites you to be at the forefront of sports analytics innovation, supporting world-class teams, events, and strategies while working from home.

About the Role

As a Sports Operations Data Analyst, you aim to extract meaningful patterns from complex sports data sets and provide operations teams with the necessary intelligence to optimize performance, logistics, and scheduling. You'll support strategic decisions with real-time reporting, trend analysis, and actionable insights that improve day-to-day operations and long-term planning.

You’ll partner with operations managers, data teams, and performance analysts to streamline workflows, identify inefficiencies, and elevate overall execution in sports management.

Key Responsibilities

Data Acquisition & Preparation

• Collect, validate, and clean structured and unstructured sports-related data from internal databases and external APIs.
• Design and automate data pipelines for consistent and timely data delivery.

Insight Development

• Perform statistical analyses and generate dashboards that reveal trends in game-day logistics, ticket sales, athlete performance, fan engagement, and vendor management.
• Deliver high-impact insights influencing staffing, inventory planning, scheduling, and other critical operations.

Reporting & Visualization

• Create custom visual reports using tools like Tableau or Power BI to communicate findings effectively to technical and non-technical stakeholders.
• Present insights in digestible formats tailored to operations leaders, coaching staff, and executives.

Collaboration & Strategy

• Work closely with sports operations leaders to understand evolving needs and proactively suggest data-driven solutions.
• Collaborate on forecasting models to anticipate demand, optimize resources, and reduce operational bottlenecks.

Tools and Technology You’ll Use

This role calls for a tech-savvy analyst who is comfortable juggling multiple platforms. You’ll regularly work with:

• SQL for querying and data extraction
• Python or R for statistical modeling and automation
• Tableau, Power BI, or Looker for visualizations
• Google Sheets or Excel for agile reporting
• Cloud platforms like AWS or Google Cloud for data storage and retrieval
• Sports data APIs and proprietary sports information systems

What Success Looks Like

In your first 90 days, you’ll:

• Build a foundational understanding of the sports operations data ecosystem
• Deliver your first set of analytical dashboards
• Identify key KPIs relevant to different operational verticals

Within 6 months, you’ll:

• Lead the design of automated reporting processes
• Act as a strategic advisor on at least one operations project
• Contribute to forecasting models that help reduce inefficiencies

Work Environment and Culture

100% Remote Flexibility

This remote role gives you the freedom to structure your day in an environment that makes you most productive. We believe great insights aren’t confined to office walls.

Dynamic and Fast-Paced

You’ll be immersed in a culture that moves quickly, embraces iteration, and encourages innovative problem-solving. No two days are the same in sports operations, which makes it exhilarating.

Collaborative and Inclusive

Become part of an inclusive group of experts who prioritize curiosity, empathy, and impact. Your voice matters, your perspective is welcome, and your contributions shape the organization.

Qualifications and Experience

Must-Haves

• Bachelor’s degree in Data Science, Sports Management, Statistics, Computer Science, or a related field
• 2+ years of experience in a data analyst or operations analyst role
• Proven expertise in SQL and one analytics language (Python, R, etc.)
• Experience with dashboarding tools like Tableau or Power BI
• Strong storytelling skills to interpret data into compelling narratives

Nice-to-Haves

• Experience in the sports or entertainment industry
• Familiarity with sports operations data (e.g., team logistics, fan attendance, player scheduling)
• Exposure to machine learning models or forecasting techniques

Exciting Perks

We offer more than just a paycheck. Here’s what you can expect:

• Annual Salary: $82,640
• Comprehensive health benefits package
• Paid time off for personal and professional growth
• Home office stipend and ergonomic support
• Access to live sports analytics webinars and courses
• Yearly professional development allowance
• Employee recognition and performance bonuses

Growth Opportunities

We’re deeply invested in your development. Whether you want to lead data strategy across sports categories, specialize in predictive modeling, or explore project management, this is a launchpad for your next big move.

We empower you to:

• Take ownership of high-impact projects
• Mentor junior analysts as you grow
• Join cross-functional teams shaping the future of sports data

Your Next Big Opportunity Awaits

If you’re ready to make an impact in sports data, own your schedule, and drive operational excellence with analytics, this is your moment.

Apply now to join a passionate, data-driven team transforming the sports world's operations—one insight at a time.