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Entry Level Football Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

TheHomeMag

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Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

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Entry Level Football Data Analyst information

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How much do entry level football data analyst jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for entry level football data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

How to become a sports analyst with no experience?

To become an entry-level football data analyst with no experience, focus on developing skills in data analysis, statistics, and sports analytics tools like Excel or SQL. Gaining knowledge of football rules and performance metrics, pursuing relevant certifications, and building a portfolio of projects can help demonstrate your abilities to employers.

How much does a football data analyst make?

Entry level football data analysts typically earn between $40,000 and $60,000 annually, depending on experience, location, and the organization. Salaries can increase with additional skills in data analysis tools and sports analytics platforms.

Can I be a data analyst with no experience?

Entry level football data analyst positions often do not require prior professional experience, but candidates should have strong analytical skills, familiarity with data tools like Excel or SQL, and a willingness to learn. Gaining relevant knowledge through online courses or certifications can improve your chances of qualifying for such roles. Practical experience through internships or personal projects can also be beneficial.

How to become a data analyst in football?

To become a football data analyst, gain a strong foundation in statistics, data analysis, and programming languages such as Python or R. Develop knowledge of football tactics and performance metrics, and familiarize yourself with data visualization tools like Tableau. Pursuing relevant certifications or a degree in sports analytics, data science, or related fields can also improve job prospects.

What is the difference between Entry Level Football Data Analyst vs Football Operations Assistant?

AspectEntry Level Football Data AnalystFootball Operations Assistant
Required CredentialsBachelor's in Sports Management, Data Science, or related field; basic knowledge of data analysis toolsBachelor's in Sports Management or related field; organizational skills
Work EnvironmentData-focused, analytical tasks, often office-basedOperational support, event coordination, on-field and office work
Employer & Industry UsageSports teams, analytics firms, scouting agenciesFootball clubs, sports organizations, event management
Common Search & ComparisonYesYes

The Entry Level Football Data Analyst primarily focuses on analyzing game data, player statistics, and performance metrics using data analysis tools. In contrast, a Football Operations Assistant handles logistical and operational tasks such as event coordination and team support. While both roles support football organizations, the analyst role is more data-driven, whereas the operations assistant emphasizes organizational and support functions.

More about Entry Level Football Data Analyst jobs
What cities are hiring for Entry Level Football Data Analyst jobs? Cities with the most Entry Level Football Data Analyst job openings:
What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
What states have the most Entry Level Football Data Analyst jobs? States with the most job openings for Entry Level Football Data Analyst jobs include:
What job categories do people searching Entry Level Football Data Analyst jobs look for? The top searched job categories for Entry Level Football Data Analyst jobs are:
Entry Level Football Data Analyst jobs near you
Infographic showing various Entry Level Football Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA

Full-time

Posted 21 days ago

Job description

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Duties:

  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues

  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data

  • Source origins of data inaccuracies through data pipeline dependencies and python code base

  • Define data validation tests to flag future game errors

  • Research accurate roster active statuses, primary positions and game participation

  • Validate data changes after logic updates

  • Production model feature deep dives to explain project market lines

  • Clearly document findings

  • Develop intimate familiarity with existing databases and construct metadata references

  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:

  • Bachelor's Degree in Computer Science, Data Science or similar major

  • Minimum of 1 year of experience in football data analysis

  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios

  • Data Extraction, Wrangling and Analysis in Python

  • Strong SQL querying skills

  • Attention to detail

Preferred:

  • Strong Python data management programming skills

  • Data Visualization experience with a user application like Streamlit

  • 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 Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.