Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...
Build and implement analytical football models, providing valuable insights to enhance our football analytics offerings. Conduct comprehensive data analysis to extract actionable insights. * Model ...
Drive development of new football analytics using Next Gen Stats * Ensure accuracy of data before ... distribution Required Qualifications * Bachelor's Degree in a related field * Extensive football ...
Drive development of new football analytics using Next Gen Stats * Ensure accuracy of data before ... distribution Required Qualifications * Bachelor's Degree in a related field * Extensive football ...
Seasonal Next Gen Stats Research Analyst
Inglewood, CA · On-site
$31 - $33/hr
Drive development of new football analytics using Next Gen Stats * Ensure accuracy of data before distribution Required Qualifications * Bachelor's Degree in a related field * Extensive football ...
Seasonal Next Gen Stats Research Analyst
Inglewood, CA · On-site
$31 - $33/hr
Drive development of new football analytics using Next Gen Stats * Ensure accuracy of data before distribution Required Qualifications * Bachelor's Degree in a related field * Extensive football ...
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We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... FULL_TIME
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Denver, CO · Remote
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Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...
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Waco, TX · Hybrid
$70K/yr
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Waco, TX · Hybrid
$70K/yr
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Alexandria, VA · On-site
$99K - $144K/yr
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Alexandria, VA · On-site
$99K - $144K/yr
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New York, NY · On-site +1
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Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive ...
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Bedford, IN · Remote
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Bedford, IN · Remote
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Houston, TX · On-site +1
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Houston, TX · On-site +1
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Pittsburgh, PA · On-site
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Washington, DC · On-site
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Austin, TX · On-site
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Austin, TX · On-site
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PR · On-site
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???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays ... Job Type: Full-Time | Monday to Friday ???? www.worksimpli.com About WorkSimpli Software WorkSimpli ...
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PR · On-site
$45K - $55K/yr
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Richmond, VA · On-site
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Richmond, VA · On-site
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Washington, DC · On-site
$95K - $112K/yr
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Data Analyst
Washington, DC · On-site
$95K - $112K/yr
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Full Time Football Data Analyst information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do full time football data analyst jobs pay per year?
How to get into data analysis in football?
Do NFL teams hire full time football data analysts?
What is the difference between Full Time Football Data Analyst vs Part Time Football Data Analyst?
| Aspect | Full Time Football Data Analyst | Part Time Football Data Analyst |
|---|---|---|
| Credentials | Bachelor's degree in sports analytics, statistics, or related field; experience with data analysis tools | Similar credentials, but often less extensive experience required |
| Work Environment | Full-time employment with consistent hours, often within a sports organization or analytics firm | Flexible hours, often freelance or project-based within the same industry |
| Employer & Industry Usage | Commonly employed by professional clubs, leagues, or sports analytics companies | Used by smaller organizations, freelance projects, or part-time roles in the industry |
In summary, a Full Time Football Data Analyst typically works full-time within a sports organization, requiring more extensive experience and offering consistent hours. In contrast, a Part Time Football Data Analyst has flexible hours, often works freelance or on specific projects, and may have similar credentials but less overall commitment.
Full-time
Medical, Retirement
Re-posted 20 days ago
Job description
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