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Football Data Analyst Jobs in Texas (NOW HIRING)

Data Scientist

Center, TX · On-site

$100 - $125/hr

PeopleWork closely with coaches, analysts, scouts and other key stakeholders to identify football ... Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by ...

Football Assistant General Manager Requisition Number: R-000003654 Department Name: Dual Platform ... Utilizes film review, analytics, scouting data, and in-person evaluations to assess prospective ...

Staff Accountant

Georgetown, TX · On-site

$60K - $70K/yr

Excellent analytical, GL research and problem-solving skills * Attention to detail and accuracy in ... financial data * Ability to work independently and as part of a team * Strong communication and ...

Participate in investor and financing partner discussions, supporting analysis, modeling, and follow-up materials * Assist with data room management and financing-related due diligence processes TOCA ...

Participate in investor and financing partner discussions, supporting analysis, modeling, and follow-up materials * Assist with data room management and financing-related due diligence processes TOCA ...

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Football Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do football data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for football data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a football data analyst?

A Football Data Analyst collects, processes, and interprets football-related data to provide insights for teams, coaches, and scouts. They use statistical analysis, tracking data, and performance metrics to evaluate players, tactics, and opposition strategies. Their work helps improve team performance, recruitment decisions, and match preparation. Analysts often use software, coding languages, and data visualization tools to present findings effectively.

What are some typical daily responsibilities of a football data analyst?

A Football Data Analyst typically spends their day collecting and processing match or training data, conducting statistical analyses to identify trends, and preparing reports or visualizations for coaches and management. They often attend team meetings to discuss insights and collaborate closely with coaching staff and other performance professionals. The role also involves staying updated on the latest analytical tools and methods, ensuring the team leverages cutting-edge techniques. Effective communication and adaptability are essential, as priorities can shift quickly based on match schedules or management needs.

What are the key skills and qualifications needed to thrive in the football data analyst position, and why are they important?

To thrive as a Football Data Analyst, you need strong statistical analysis skills, expertise in football tactics, and usually a degree in mathematics, statistics, sports science, or a related field. Proficiency in data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is commonly required, along with certifications in data analysis or relevant software. Attention to detail, effective communication, and teamwork are vital soft skills for conveying insights to coaches and collaborating with diverse teams. These skills enable the analyst to accurately interpret data, support performance improvements, and drive informed decision-making within a competitive sports environment.

Do NFL teams hire football data analysts?

Yes, NFL teams often hire football data analysts to evaluate player performance, develop strategies, and improve team decision-making using advanced statistics and data analysis tools. These roles typically require strong analytical skills, knowledge of football, and proficiency with data software such as SQL or Python.

How to become a football data analyst?

To become a football data analyst, you typically need a strong background in statistics, data analysis, or sports science, often gained through a relevant degree or certification. Proficiency in data tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of football tactics and metrics. Gaining experience through internships or entry-level roles in sports analytics can also help build a career in this field.

What does a football data analyst do in football?

A football data analyst collects, analyzes, and interprets match and player data to provide insights that can improve team performance and strategy. They use statistical tools and software to identify patterns, evaluate player metrics, and support decision-making for coaching staff and management.

What are the most commonly searched types of Football Data Analyst jobs in Texas?

The most popular types of Football Data Analyst jobs in Texas are:

What are popular job titles related to Football Data Analyst jobs in Texas?

For Football Data Analyst jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Football Data Analyst jobs?

Cities in Texas with the most Football Data Analyst job openings:

Infographic showing various Football Data Analyst job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Scientist

Center, TX • On-site

$100 - $125/hr

Other

Posted 19 days ago


Job description

Job Description SummaryWe 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 DescriptionPeopleWork 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.ProcessLead 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.ProductDevelop 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 & ExperienceBachelor'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 ExperiencePrior 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 RequirementsAbility 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 ResponsibilitiesRepresent Sporting Kansas City professionally at all times.Maintain confidentiality of sensitive information.Comply with Club policies and procedures.Perform other duties as assigned. #J-18808-Ljbffr