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Sport Data Analyst Jobs in Kansas (NOW HIRING)

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

... models across medical, sports sciences, scouting, squad planning and performance analysis ... Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by ...

AEG

Data Scientist

Kansas City, KS · On-site

... models across medical, sports sciences, scouting, squad planning and performance analysis ... Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by ...

AEG

SponsorUniversity Regional Scout

Goddard, KS · On-site

$1.2K - $1.6K/wk

Experience firsthand what it's like to contribute within a fast-growing sports data startup ... world sponsorship analysis experience, and contribute to SponsorUnited's growing sponsorship ...

AEG

SponsorUniversity Regional Scout

Lawrence, KS · On-site

$1.1K - $1.5K/wk

Experience firsthand what it's like to contribute within a fast-growing sports data startup ... world sponsorship analysis experience, and contribute to SponsorUnited's growing sponsorship ...

FanThreeSixty

Client Data Strategist

Leawood, KS · On-site

... sports, live entertainment, or a closely adjacent consumer/fan-data industry, with genuine credibility in front of clients in this space. * 4-6 years of client-facing experience in a data, analytics ...

FanThreeSixty

Client Data Strategist

Leawood, KS

... sports, live entertainment, or a closely adjacent consumer/fan-data industry, with genuine credibility in front of clients in this space. * 4-6 years of client-facing experience in a data, analytics ...

United Soccer League (USL)

$14.75 - $18.50/hr

... analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. Position Purpose Under the direction of the USL Technology & Data Strategy ...

United Soccer League (USL)

$14 - $17.75/hr

... analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. Position Purpose Under the direction of the USL Technology & Data Strategy ...

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All JobsSport Data Analyst JobsSport Data Analyst Jobs in Kansas

Sport Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do sport data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for sport data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

What does a sport data analyst do?

As a sports data analyst, your job is to collect and monitor the statistics for an athlete, game, or team. As part of this analysis, you may use an algorithm to help predict future performance, help apply the information to business decisions, or provide stats and feedback for announcers to mention during a game. Sports data analyst roles fall into two positions. The first is the business aspect. In this version of the job, your main role is helping improve the team's performance by applying data. In the second position, you focus more on entertainment and providing data to fans who want to know more about the athletes. This is a more time-sensitive job during games, and most sports data analysts spend hours inputting and evaluating information so they can be ready to answer questions.

What are the key skills and qualifications needed to thrive as a sport data analyst?

To thrive as a Sport Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, data science, or sports analytics. Familiarity with data analysis tools like SQL, Python, R, and sports-specific software, as well as experience with data visualization platforms, is often required. Excellent communication, attention to detail, and the ability to work collaboratively with coaches and athletes are standout soft skills. These competencies are crucial for translating complex data into actionable insights that improve team performance and strategic decision-making.

How does a sport data analyst typically collaborate with coaches and athletes to improve team performance?

Sport Data Analysts work closely with coaches and athletes to translate complex data into actionable insights that enhance performance. They often attend training sessions and matches to collect real-time data, and then meet with coaching staff to discuss trends, strengths, and areas for improvement. Effective communication is crucial, as analysts must present their findings in an understandable way that can directly inform game strategies, player development, and injury prevention. This collaborative environment fosters a cycle of continuous feedback and data-driven decision making.

What is the difference between Sport Data Analyst vs Sports Statistician?

AspectSport Data AnalystSports Statistician
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; proficiency in data analysis toolsBachelor's or higher in Statistics, Mathematics, or related fields; strong analytical skills
Work EnvironmentSports teams, analytics firms, media companies, or sports organizationsResearch institutions, sports organizations, or media outlets
Employer & Industry UsageUsed for performance analysis, player evaluation, and strategic decision-makingUsed for statistical modeling, historical data analysis, and record keeping

While both roles involve analyzing sports data, Sport Data Analysts focus on applying data insights to improve team performance and strategy using advanced tools. Sports Statisticians primarily handle data collection, record-keeping, and statistical modeling. The roles often overlap but differ in their primary focus and application within the sports industry.

How much do sport data analysts get paid?

Sport data analysts typically earn between $50,000 and $80,000 annually, with salaries increasing with experience, education, and the level of the organization. Entry-level positions may start around $40,000, while senior analysts or those working for major sports teams can earn over $100,000. Skills in data analysis tools and sports statistics are highly valued in this role.
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For Sport Data Analyst jobs in Kansas, the most frequently searched job titles are:

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Cities in Kansas with the most Sport Data Analyst job openings:

Sport Data Analyst jobs near you
Infographic showing various Sport Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Data Scientist

Sporting Kansas City

Kansas City, KS • On-site

Full-time

Posted 20 days ago

Job description

Job Description Summary
We are seeking a creative and curious individual to join our team as a Data Scientist. In this role, the successful candidate will lead the design, development and validation of advanced models aimed at improving decision-making and supporting an evidence-informed predictive framework.
The successful candidate will work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights, developing interpretable and context-relevant models across medical, sports sciences, scouting, squad planning and performance analysis, contributing to the development of proprietary models that provide Sporting Kansas City with a sustainable competitive advantage.
Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals looking for a challenge to apply.
Job Description
People
  • Work closely with coaches, analysts, scouts and other key stakeholders to identify football questions and translate them into advanced modelling projects.
  • Develop strong relationships with the wider Data and Analytics team, ensuring alignment with Club and department strategy.
  • Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows.
  • Collaborate closely with the First Team Data Analyst, ensuring the model outputs are translated and communicated into clear and actionable insights.
  • Ensure collaboration and communication across the wider Club as needed, championing the adoption of advanced analytics across Sporting Kansas City.

Process
  • Lead the end-to-end development of applied advanced modelling projects, from problem definition with key stakeholders, through to deployment and review cycles.
  • Develop robust tools for testing, validation, versioning, monitoring, model governance and documentation, focusing on creating and establishing best practices for experimentation.
  • Continuously evaluate model performance, incorporating stakeholder feedback to ensure reliability and flexibility as the Club changes and evolves.
  • Evaluate other emerging methods and research to ensure SKC stays current with data science best practice and trends.

Product
  • Develop advanced models to support medical, sports sciences, scouting, coaching and performance analysis workflows.
  • Support the development of advanced football metrics including player, team, league and valuation models, combining and utilizing multiple data sources.
  • Develop advanced metrics, working extensively with event, tracking and physical data.
  • Support the creation of predictive models related to load monitoring and management, player availability, injury risk and other key projects in collaboration with the medical and physical performance staff.
  • In close alignment with the wider Data and Analytics teams, support the development of forecasting and scenario-analysis tools, supporting squad and salary cap planning.
  • Continuously challenge existing data, systems and practices to ensure development and drive innovation.
  • Work closely with the First Team Data Engineer to productionize models and implement ML projects seamlessly.

Education & Experience
  • Bachelor's degree in computer science, data science or related STEM subject.
  • Experience working in a Data Science, Machine Learning, Applied Statistics or similar role.
  • Proven experience designing, validating and monitoring applied machine learning models.
  • Robust experience using both SQL and Python for data analysis, modelling and automation.
  • Strong understanding of statistical modelling, experimental design and model evaluation.
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and keen to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.
  • Evidence of excellent communication skills, able to translate technical concepts into practical solutions.

Preferred Experience
  • Prior experience working within an elite soccer club or high-performance sporting environment.
  • Experience working with soccer event, tracking and physical performance datasets.
  • Previous experience developing models for elite athlete recruitment, physical performance, squad planning, player availability and load and fatigue management.
  • Experience deploying machine learning models and working with cloud-based environments.
  • Strong understanding of technical and tactical aspects of soccer.
  • Evidence of experience working in the MLS.
  • Experience using data visualization tools such as Tableau or other equivalent software.

Physical Requirements
  • Ability to work in office, stadium, and outdoor environments with the ability to travel as required.
  • Ability to occasionally lift up to 25 pounds.
  • Ability to work non-traditional hours including evenings, weekends, and holidays.

Additional Responsibilities
  • Represent Sporting Kansas City professionally at all times.
  • Maintain confidentiality of sensitive information.
  • Comply with Club policies and procedures.
  • Perform other duties as assigned.

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