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Data Analytics Sports Jobs (NOW HIRING)

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Foot Locker

Sr. Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

At Foot Locker, we're rooted in sport, powered by style, and driven by the communities that move ... Bachelor's or Master's in Computer Science, Statistics, Analytics, Finance, Business, Engineering ...

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All JobsData Analytics Sports Jobs

Data Analytics Sports information

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$23.5K

$98.2K

$183K

How much do data analytics sports jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analytics sports in the United States is $98,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Sports professional, and why are they important?

To thrive as a Data Analytics Sports professional, you need strong statistical analysis skills, a background in mathematics or data science, and familiarity with sports industry metrics. Proficiency with data visualization tools (like Tableau), programming languages (such as Python or R), and sports analytics software is typically required. Analytical thinking, attention to detail, and strong communication skills set top performers apart in this field. These skills are crucial for transforming complex data into actionable insights that enhance team performance and inform strategic sports decisions.

What are some common challenges faced by data analysts in the sports industry, and how can they be addressed?

Data analysts in the sports industry often encounter challenges such as integrating disparate data sources (e.g., player stats, wearable tech, and video analysis), ensuring data accuracy, and translating findings into actionable insights for coaches and management. Addressing these challenges requires strong technical skills, effective communication, and a collaborative approach with IT, coaching staff, and sports scientists. Staying updated with the latest analytics tools and maintaining clear documentation can also help streamline workflows and improve decision-making across teams.

What is the difference between Data Analytics Sports vs Data Analysis in Finance?

AspectData Analytics SportsData Analysis in Finance
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; certifications like SAS or TableauBachelor's in Finance, Economics, or related fields; certifications like CFA, CPA
Work EnvironmentSports teams, leagues, sports analytics firms, media companiesBanks, investment firms, financial institutions, corporate finance departments
Employer & Industry UsageUsed to improve team performance, player stats, fan engagementUsed for risk assessment, investment decisions, financial forecasting

Data Analytics Sports focuses on analyzing sports-related data to enhance team performance and fan engagement, while Data Analysis in Finance centers on financial data to inform investment and business decisions. Both roles require strong analytical skills and data tools but serve different industries and objectives.

What are data analytics sports jobs?

Data analytics sports jobs involve using data analysis techniques to help sports teams, organizations, or media companies make better decisions. Professionals in this field collect, process, and interpret data related to player performance, game strategy, fan engagement, and business operations. They use statistical tools, programming languages, and visualization software to turn raw data into actionable insights. These roles are vital for gaining a competitive edge, optimizing team performance, and enhancing fan experiences in the sports industry.
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What states have the most Data Analytics Sports jobs? States with the most job openings for Data Analytics Sports jobs include:
What job categories do people searching Data Analytics Sports jobs look for? The top searched job categories for Data Analytics Sports jobs are:
Data Analytics Sports jobs near you

Business Strategy & Analytics Analyst

H star

Houston, TX • On-site

Full-time

Posted 14 days ago

Job description

Department: Business Strategy & Analytics
Reports to: Director, Business Strategy & Analytics
Classification: Full-Time/Exempt
Summary/Objective
The Analyst position is responsible for collecting and synthesizing information, conducting analysis, and presenting insights to support strategic business decisions. This position will work across Astros business operations departments to collaborate on solutions and implement new initiatives. The Analyst will be a key contributor to the department mission of increasing long-term revenue, improving fan experience, and creating operational efficiency.
Essential Functions & Responsibilities
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Integrate and model data from multiple structured and semi-structured sources into organized data sets.
  • Build predictive models to support ticket forecasting, ticket pricing, marketing and advertising allocation, and operational planning.
  • Write, build, and analyze fan-focused research surveys.
  • Leverage AI tools to enhance data analysis, automate workflows, and surface insights more efficiently.
  • Think analytically with the ability to interpret trends, identify drivers, and surface actionable insights.
  • Identify best practices across sports and business to bring to the Astros.
  • Build data tools and visualizations to provide reporting and insight into the Astros business.
  • Present data insights and recommendations to stakeholders, both technical and non-technical.
  • Perform other duties as assigned.

Qualifications:
Required
  • Bachelor's degree in Business, Finance, Computer Science, Statistics, or other data-related discipline
  • 1+ years of related experience in business, consulting, finance, business analytics, sports and entertainment, or related fields
  • Strong understanding of statistics e.g., predictive modeling, hypothesis testing, and experimental design
  • Advanced SQL expertise for querying, transforming, and creating large datasets across multiple tables
  • Experience working with data visualization e.g., Tableau, Microsoft PowerBI
  • Experience working in Python or other statistical programming language
  • Strong presentation and communication skills, with the ability to explain complex analyses in plain English
  • Ability to manage multiple priorities and meet deadlines, even when requirements are evolving

Preferred
  • Demonstrated ability to own problems end-to-end, working through ambiguity, data limitations, and changing requirements
  • Proven track record of troubleshooting issues independently and driving solutions without waiting for direction
  • Strong attention to detail with a bias for action - able to identify issues, investigate root causes, and resolve them quickly
  • Highly resourceful and quick learner, able to figure things out with limited guidance
  • Comfortable operating in environments where not everything is defined - you move work forward instead of getting blocked
  • Experience designing and writing primary research surveys
  • Passion for baseball

Work Environment
This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close and focused vision.
Position Type and Expected Hours of Work
This is a full-time position, and hours of work and days are Monday through Friday, 8:30 a.m. to 5 p.m. Ability to work a flexible schedule, including; extended hours, evenings, weekends and holidays.
Travel
Rare travel may be expected for this position.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
EOE/M/F/Vet/Disability
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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