1

Independent Contractor Sports Analytics Jobs (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Ability to work independently and take initiative Preferred: * Experience with Apache Kafka and ...

next page

Showing results 1-20

Independent Contractor Sports Analytics information

See salary details

$394

$1.1K

$2.1K

How much do independent contractor sports analytics jobs pay per week?

As of Jun 9, 2026, the average weekly pay for independent contractor sports analytics in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

How do independent contractor sports analysts typically collaborate with teams or organizations while working remotely?

Independent contractor sports analysts often work remotely and maintain close communication with their clients through digital tools such as video conferences, data-sharing platforms, and collaborative software. They usually participate in regular update meetings, present their findings, and provide actionable insights to coaching staff, management, or scouting departments. Building strong relationships and understanding the specific needs of each client are key to ensuring their analyses are relevant and timely. Flexibility and proactive communication are crucial, as project scopes and priorities can shift rapidly in the sports industry.

What is the difference between Independent Contractor Sports Analytics vs Sports Data Analyst?

AspectIndependent Contractor Sports AnalyticsSports Data Analyst
CredentialsRelevant degrees, certifications in analytics or sports managementDegree in statistics, data science, or related field
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, employed by sports teams or organizations
Employer & Industry UsageIndependent clients, sports agencies, consulting firmsSports teams, leagues, media companies

In summary, Independent Contractor Sports Analytics professionals work freelance on various projects, often with multiple clients, while Sports Data Analysts are typically employed full-time by sports organizations. Both roles require similar skills and credentials but differ mainly in employment structure and work setting.

What are the key skills and qualifications needed to thrive as an Independent Contractor in Sports Analytics, and why are they important?

To thrive as an Independent Contractor in Sports Analytics, you need a solid background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or computer science. Proficiency with analytical tools and programming languages like Python, R, SQL, and experience using data visualization software such as Tableau are typically required. Strong communication, critical thinking, and the ability to interpret and present complex data clearly are valuable soft skills in this role. These skills are essential for generating actionable insights, supporting decision-making, and delivering value to sports organizations in a competitive industry.

What are Independent Contractor Sports Analysts?

Independent Contractor Sports Analysts are professionals who provide data analysis, insights, and statistical evaluations for sports teams, organizations, or media outlets on a freelance basis rather than as full-time employees. They work independently, often juggling multiple clients, to help improve team performance, inform coaching decisions, or enhance fan engagement through data-driven strategies. These analysts typically use advanced statistics, software, and modeling techniques to interpret sports data and communicate their findings. Their flexibility allows teams or organizations to access specialized expertise without committing to a permanent hire.

How to get a career in sports analytics?

To pursue a career in sports analytics, develop strong skills in statistics, data analysis, and programming languages like Python or R. Obtain a relevant degree such as sports management, statistics, or data science, and gain experience through internships or projects involving sports data analysis. Familiarity with sports-specific metrics and tools like SQL and data visualization software can also enhance job prospects.
What cities are hiring for Independent Contractor Sports Analytics jobs? Cities with the most Independent Contractor Sports Analytics job openings:
What are the most commonly searched types of Sports Analytics jobs? The most popular types of Sports Analytics jobs are:
What states have the most Independent Contractor Sports Analytics jobs? States with the most job openings for Independent Contractor Sports Analytics jobs include:
Infographic showing various Independent Contractor Sports Analytics job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 55% Full Time, 41% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.
Rust Engineer

Rust Engineer

Swish Analytics

San Francisco, CA

$170K/yr

Full-time

Posted 8 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:

  • Develop high-performance and low-latency products to verify results and provide reliability for in-game play

  • Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure

  • Design core, backend software components, and code primarily using Rust

  • Building internal and external tools to support Swish’s live trading platform

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

  • Use extensive experience to build, test, debug, and deploy production-grade components

  • Proactively improve our Rust and Python codebase

  • Production model feature deep dives to explain project market lines

Requirements:

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

  • Minimum of 1 year of software engineering experience with Rust; 3 preferred

  • Minimum of 3 years of experience developing high-performance, scalable, and reliable production systems

  • Data Extraction, Wrangling and Analysis in Python

  • Strong SQL querying skills

  • Ability to work independently and take initiative

Preferred:

  • Experience with Apache Kafka and comparable systems

  • Exposure to the data science process and tech stack

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

Base salary: Starting at $170,000 base

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.