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Data Analytics Sports Jobs (NOW HIRING)

Retailcloud

Data Analytics Intern

Concord, CA · On-site

$60K - $70K/yr

Company Overview: retailcloud is an omnichannel commerce platform that provides sports and ... The ideal candidate will have 1-3 years experience in a prior data analytics role. This role will ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site +1

We're also proud to partner with some of the most iconic teams and venues in sports and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

We're also proud to partner with some of the most iconic teams and venues in sports and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

We're also proud to partner with some of the most iconic teams and venues in sports and ... The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ...

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

Required : • Passionate about advancing women's sports and leveraging data to elevate performance ... or analytics roles within professional football or elite sports. • Hands-on background with ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

Position Summary The Head of Data & Analytics will lead the execution and adoption of Bay FC's data ... Collaborate with sports science, medical and coaching staff to connect workload, wellness, and ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site

$113K - $136K/yr

... Data Analytics Engineer to join their Enterprise Data Management & Analytics team. This role ... Company : Under Armour is a manufacturer of footwear, sport, and casual apparel. Founded in 1996 ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

... sports/entertainment, or high-growth SaaS environments strongly preferred • Proficiency in Python or R for advanced data manipulation and analysis preferred • Portfolio or examples of impactful ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

... sports/entertainment, or high-growth SaaS environments strongly preferred • Proficiency in Python or R for advanced data manipulation and analysis preferred • Portfolio or examples of impactful ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/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

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/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 ...

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All JobsData Analytics Sports Jobs

Data Analytics Sports information

See salary details

$23.5K

$98.2K

$183K

How much do data analytics sports jobs pay per year?

As of Aug 3, 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.
More about Data Analytics Sports jobs
What cities are hiring for Data Analytics Sports jobs? Cities with the most Data Analytics Sports job openings:
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
Infographic showing various Data Analytics Sports job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $98,195 per year, or $47.2 per hour.

Data Analytics Intern

Retailcloud

Concord, CA • On-site

$60K - $70K/yr

Full-time

Medical, PTO

Re-posted 20 days ago

Job description


Company Overview:
retailcloud is an omnichannel commerce platform that provides sports and entertainment merchants the ability to easily manage their orders, inventory, customers, and other related tasks while providing them with actional analytics to improve operational efficiencies. We are the proud partner of over 30 professional sports teams and work closely to utilize our 30+ homegrown application and range of out of the box integrations to build a tailored solution to meet the customers needs.
Position Overview:
retailcloud is seeking a Data Anyltics Intern to work with large and complex datasets and turn them into clear insights and visualizations. We are looking to utilize our data and technology to transform a retailers data into actionable analytics for the retailer. The ideal candidate will have 1-3 years experience in a prior data analytics role. This role will require to create and improve our analytics dashboards to support our retailers operations.
Responsibilities:
• Demonstrated ability to work with large and complex datasets.
• Strong written and verbal communication skills to explain findings to decision-makers who are not business analysts or data analysis experts.
• Demonstrated ability to independently determine and apply the most appropriate mathematical and statistical techniques to interpret data into meaningful insights and conclusions.
• Tech-savvy, particularly when it comes to data mining and cleansing.
• High attention to detail as it relates to data integrity and organization.
• Willingness to take on multiple departmental responsibilities and multitask.
• Ability to organize and create catalogs for large streams of data collected.
• Project organization and management.
Qualifications and Experience
• Bachelor's degree or equivalent industry experience preferred.
• 1-3 years experience in a data analytics/science role, ideally from a SaaS/ERP/API company
• Ideally worked in a start-up environment
• Highly organized
Compensation:
Base salary of $60,000-$70,000 with PTO and full medical benefits

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