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Non Union Football Data Analytics Jobs (NOW HIRING)

SumerSports LLC

Sr. Football Data Scientist

Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis * Exposure to the data science process and tech stack * Anomaly Detection Techniques Swish Analytics is an ...

Ursus, Inc.

Sr. Football Data Scientist

Responsibilities : • Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract ...

AEG

Data Analyst

Riverside, MO · On-site

Stay current on emerging trends in football analytics, machine learning, artificial intelligence ... Strong communication skills with the ability to explain complex information to technical and non ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

While our community is our foundation, our love of football is our reason for being. We have the ... Ability to work non-traditional hours, including evenings, weekends, holidays, and travel with the ...

Bay FC

Head of Data & Analytics

San Francisco, CA

While our community is our foundation, our love of football is our reason for being. We have the ... Ability to work non-traditional hours, including evenings, weekends, holidays, and travel with the ...

AEG

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

Performance & Football Intelligence * Translate raw match, event, and tracking data into meaningful ... Ability to work non-traditional hours, including evenings, weekends, holidays, and travel with the ...

The Talent Fund LLC

Be Seen First

Union & Non-union Billing Specialist

Santa Cruz, CA · On-site

$25 - $31.25/hr

We're looking for a detail-oriented and collaborative Union & Non-union Billing Specialist to join ... Partner with payroll, HR, and finance teams to ensure data accuracy * Assist with process ...

The Talent Fund LLC

Be Seen First

Union & Non-union Billing Specialist

Santa Cruz, CA · On-site

$25 - $31.25/hr

We're looking for a detail-oriented and collaborative Union & Non-union Billing Specialist to join ... Partner with payroll, HR, and finance teams to ensure data accuracy * Assist with process ...

DLC

Lead Analyst, Data & Analytics

Duquesne, PA · On-site

Combination of proven experience and subject matter expertise in data and analytics required ... Storm Roles All Non-Union Employees will serve in storm roles as appropriate to their role and ...

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All JobsNon Union Football Data Analytics Jobs

Non Union Football Data Analytics information

How do you use non?

In a non-union football data analytics role, using non typically refers to working outside of unionized environments, which may involve different contractual terms and workplace policies. It often requires strong data analysis skills, familiarity with tools like Excel or SQL, and the ability to interpret player and team performance data. Understanding the employment structure helps in navigating workplace expectations and project scope.

What are the key skills and qualifications needed to thrive as a Non Union Football Data Analyst, and why are they important?

To thrive as a Non Union Football Data Analyst, you need strong quantitative analysis skills, a background in statistics or data science, and a deep understanding of football tactics and performance metrics. Proficiency with data analytics tools such as Python, R, SQL, and specialized sports analytics software is typically required. Excellent attention to detail, effective communication, and the ability to translate complex data into actionable insights are critical soft skills for this role. These skills and qualities are essential for identifying trends, informing coaching decisions, and providing a competitive edge through data-driven strategies.

What is the meaning of non?

In the context of a Non Union Football Data Analytics role, 'non' typically indicates that the position is not part of a labor union. It means the employee is not covered by a union contract, which can affect aspects like negotiations, benefits, and workplace policies. Understanding this distinction helps job seekers know the employment terms associated with the role.

What is non union football data analytics?

Non union football data analytics involves collecting, processing, and interpreting data related to football (soccer or American football) performance, statistics, and strategy, outside of unionized organizations. Professionals in this field use statistical methods, software tools, and data visualization techniques to help teams, coaches, and management make better decisions. This role typically focuses on providing insights about player performance, match outcomes, and tactical trends, often for private companies, media, or non-union clubs. The 'non union' aspect means that the role is not governed by a labor union, which can affect job conditions and benefits.

Is non a word on its own?

Yes, 'non' is a word on its own; it is a common prefix meaning 'not' or 'without' and is used in many English words. In the context of a non-union football data analytics role, it may appear in terms like 'non-competitive' or 'non-contact,' but it is not a standalone noun or verb. Understanding such prefixes can help in interpreting job descriptions and requirements accurately.

What are some typical challenges faced by professionals in Non Union Football Data Analytics roles?

Professionals in Non Union Football Data Analytics often encounter challenges such as consolidating and cleaning large, disparate datasets from different sources to ensure data accuracy. They must also communicate complex analytical findings to coaches and management in clear, actionable terms. Collaboration with scouts, coaching staff, and IT teams is frequent, requiring strong interpersonal skills and adaptability. Additionally, staying updated with the latest analytical tools and football trends is essential for delivering valuable insights that can influence team strategies.

What are the 10 words with the prefix non?

In the context of non-union football data analytics roles, the prefix 'non-' is used to describe terms like non-conference, non-competitive, or non-player data. Common words with this prefix include non-profit, non-profit-making, non-verbal, non-essential, non-compliant, non-invasive, non-traditional, non-profit organization, non-renewable, and non-conformist. These words are relevant in understanding various aspects of data, policies, or organizational structures in sports analytics environments.
More about Non Union Football Data Analytics jobs
What cities are hiring for Non Union Football Data Analytics jobs? Cities with the most Non Union Football Data Analytics job openings:
What are the most commonly searched types of Football Data Analytics jobs? The most popular types of Football Data Analytics jobs are:
What states have the most Non Union Football Data Analytics jobs? States with the most job openings for Non Union Football Data Analytics jobs include:
What job categories do people searching Non Union Football Data Analytics jobs look for? The top searched job categories for Non Union Football Data Analytics jobs are:
Non Union Football Data Analytics jobs near you
Infographic showing various Non Union Football Data Analytics job openings in the United States as of June 2026, with employment types broken down into 18% Full Time, 9% Part Time, 9% Temporary, and 64% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Sr. Football Data Scientist

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 19 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
We are seeking a motivated and skilled Senior Data Scientist to join our analytics team. You will be responsible for building, deploying, and refining a variety of football-focused analytical models, working with complex real-world datasets. You'll collaborate closely with other data scientists and engineers, ensuring our analytical products are accurate, robust, and impactful. The ideal candidate will demonstrate both strong technical skills and a proactive mindset, capable of independently taking projects from concept to deployment.
Responsibilities
  • Model Development and Analysis: Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights.
  • Model Productionization: Ensure seamless deployment of machine learning and statistical models using Python, Databricks, and Spark. You will work on converting existing R models to Python as part of your initial responsibilities.
  • Large Dataset Management: Handle large datasets efficiently using Spark and Databricks, ensuring data integrity and performance optimization.
  • Collaboration: Work closely with other data scientists, analysts, and stakeholders to understand their needs and deliver high-quality analytical solutions.
  • Innovation: Identify and implement new tools, techniques, and best practices to enhance our data analytics capabilities.

Qualifications
Education: Advanced degree (Masters or PhD) in a quantitative discipline, or equivalent professional experience.
Experience: 4+ years of experience in data science, preferably in a sports analytics environment. (level commensurate with experience)
Technical Skills:
  • Proficiency in Python and experience with Databricks.
  • Strong programming skills in Python, including experience deploying models beyond exploratory notebooks.
  • Documented experience in football analytics, demonstrated through industry experience, public content, or
    significant independent projects. Examples would include working for an NFL or NCAA analytics department, working for a third party analytics provider, achievement in events such as the Big Data Bowl, or original football analytics Github repos.
  • Solid foundation in statistical modeling and machine learning methodologies.
  • Proven ability to independently identify and resolve data-related challenges in real-world datasets.
  • Effective communication skills, with experience explaining technical concepts clearly

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

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