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Permanent Football Data Science Jobs in Oklahoma

This position is a permanent, full-time opportunity requiring in-person, on-site work during normal ... Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination ...

This position is a permanent, full-time opportunity requiring in-person, on-site work during normal ... Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination ...

Bachelor of Science degree in Engineering, Computer Science, Data Science, Mathematics, Physics, or ... S. citizen, lawful permanent resident, or protected individual under 8 U.S.C. ยง 1324b(a)(3)) to ...

$125K - $150K/yr

... Data Analytics and Reporting Associate Contract ... type Permanent Contract Job summary Summary: You thrive in a fast-paced environment where ...

S. citizens, permanent residents (able to transfer H1B) Qualifications: * Ph.D. in Bioprocess ... Comfortable interpreting complex data and presenting to clients and leadership This is a complete ...

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Permanent Football Data Science information

What are permanent football data science jobs?

Permanent football data science jobs refer to full-time, ongoing positions within football clubs, organizations, or related companies, focused on analyzing and interpreting data to support decision-making in the sport. Professionals in these roles use statistical methods, machine learning, and data visualization to evaluate player performance, develop game strategies, and optimize team operations. Unlike contract or temporary roles, permanent positions typically offer greater job security, benefits, and opportunities for long-term career growth within the organization.

What are the key skills and qualifications needed to thrive as a permanent football data scientist?

To thrive as a Permanent Football Data Scientist, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of sports analytics platforms are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex data into actionable insights for coaches and analysts. These skills are crucial for driving data-informed decisions that can enhance team performance and strategy in a competitive sports environment.

What are some common challenges faced by football data scientists in a permanent role, and how can they be addressed?

Football data scientists in permanent positions often encounter challenges such as integrating diverse data sources (e.g., match stats, tracking data, and biometric data), ensuring data quality, and translating analytical insights into actionable strategies for coaches and players. To overcome these challenges, strong communication skills are essential for collaborating with technical staff and decision-makers. Additionally, staying updated with the latest analytics tools and methodologies helps in producing relevant and impactful analyses that support the team's objectives.

What is the difference between Permanent Football Data Science vs Football Data Analyst?

AspectPermanent Football Data ScienceFootball Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Sports Management, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in sports analytics companies or club data departmentsOperational, supporting coaching staff and management within clubs or agencies
Employer & Industry UsageSports analytics firms, football clubs, media outletsFootball clubs, sports agencies, media outlets

Permanent Football Data Science involves advanced data modeling and predictive analytics, often requiring programming skills and a strong statistical background. Football Data Analysts focus on interpreting data to inform coaching decisions and player performance, typically with less emphasis on complex modeling. Both roles are vital in football analytics but differ in technical depth and scope.

What are the most commonly searched types of Football Data Science jobs in Oklahoma?

The most popular types of Football Data Science jobs in Oklahoma are:

What cities in Oklahoma are hiring for Permanent Football Data Science jobs?

Cities in Oklahoma with the most Permanent Football Data Science job openings:

Infographic showing various Permanent Football Data Science job openings in Oklahoma as of June 2026, with employment types broken down into 46% Full Time, 50% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Data Platform Lead

System One

Tulsa, OK โ€ข On-site

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Key responsibilities

  • Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI

  • Design and maintain scalable data architecture including lake house structures, semantic models, and datasets

  • Develop and maintain data pipelines for ingesting, transforming, and integrating data from multiple systems


Job description

System One has an exciting Data Platform Lead opportunity with a partner in the Tulsa, OK area. This position is a permanent, full-time opportunity requiring in-person, on-site work during normal business hours. The company is offering a full benefits package including health, retirement, and a robust paid time off plan. Successful candidates must be able to provide proof of ability to work in the U.S. without sponsorship. This position is not open to corp-to-corp, subcontractor or independent consulting arrangements.

Responsibilities

  • Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI
  • Design and maintain scalable data architecture including lake house structures, semantic models, and datasets
  • Develop and maintain data pipelines for ingesting, transforming, and integrating data from multiple systems
  • Build and optimize enterprise Power BI datasets and reports to support decision-making across the organization
  • Develop and maintain data models that support consistent and reliable analytics
  • Establish and maintain data governance, data quality, and documentation standards
  • Create and maintain a long-term data roadmap aligned with organizational strategy and analytics maturity goals
  • Identify opportunities to expand advanced analytics capabilities such as predictive analytics, self-service BI, and automated insights
  • Partner with business leaders and stakeholders to understand data needs and prioritize analytics initiatives
  • Ensure performance, scalability, and reliability of the data platform
  • Implement best practices for data security, access controls, and compliance
  • Support and enable self-service analytics across departments through standardized datasets and semantic models
  • Understand Data Loss Prevention (DLP) policies and tools, including implementing and managing data protection controls within Microsoft Fabric, Power BI, and the broader Microsoft ecosystem
  • Monitor and troubleshoot data pipelines, reports, and platform performance
  • Continuously evaluate new capabilities within Microsoft Fabric and Power BI to improve analytics across the organization

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience
  • 5+ years of experience in data engineering, analytics engineering, or business intelligence development
  • 3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft Fabric
  • Microsoft Fabric expertise including Lakehouse architecture, Data Factory pipelines, notebooks, and semantic models
  • Advanced Power BI development including data modeling, DAX, report optimization, and enterprise dataset management
  • Strong SQL proficiency for querying, transformation, and performance optimization
  • Data modeling expertise, including star schema, dimensional modeling, and semantic layer design
  • Experience building and managing data pipelines for ingestion, transformation, and orchestration
  • Understanding of modern data architectures, including data lakes, lake houses, and warehouse concepts
  • Experience with ETL/ELT processes and data transformation frameworks
  • Ability to design scalable data platforms that support enterprise analytics and reporting
  • Design and enforce Data Loss Prevention (DLP) policies to safeguard sensitive data, ensure compliance with organizational standards, and prevent unauthorized data access or sharing across the data platform
  • Experience implementing data governance and data quality practices
  • Strong understanding of business intelligence concepts and KPI development
  • Experience integrating data from multiple sources such as ERP, CRM, SaaS platforms, and operational systems
  • Knowledge of data security and access management within Microsoft environments
  • Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions
  • Experience with version control and development best practices
  • Strong communication skills for working with business stakeholders and leadership

What Sets You Apart

  • Experience building or leading a data platform practice, team, or Center of Excellence from the ground up or through a significant growth phase
  • Track record of end-to-end platform ownership: from architecture design through scaled adoption, including driving self-service BI adoption across non-technical business users
  • Knowledge of environmental manufacturing processes and sustainability practices
  • Experience working in a fast-paced, Agile environment
  • Ability to manage multiple priorities and stakeholders effectively
  • Experience coordinating with IT infrastructure, cybersecurity, and enterprise governance processes

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #208-Rowland Tulsa


System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US