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Contract Sport Data Analyst Jobs (NOW HIRING)

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 ...

OakTree Staffing

Contract Data Analyst

Tulsa, OK

$59K - $72K/yr

Contract Data Analyst Location: Tulsa, OK Description Responsible for analysis of contracts and performing contract negotiations to include monitoring and reviewing existing contracts to ensure ...

AEG

Data Analyst

Riverside, MO · On-site

Data Infrastructure & Systems Development * Build and maintain scalable data systems and ... Collaborate with sports science and medical staff to analyze workload, readiness, and performance ...

Digital Promise

Contract Data Analyst

Responsibilities and Qualifications Contract Data Analyst: We seek candidates with a strong analytical mindset, excellent R programming skills, and expertise in data visualization platforms like R ...

Aspirus Health

CONTRACT DATA ANALYST - ANI

Wausau, WI · On-site

They are seeking a Contract Data Analyst to provide analytics and recommendations on payor contracts, acting as a subject matter expert in contract financial analysis and supporting contract ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management System) Data Analyst On behalf of our Client, Procom Services is ...

ASPIRUS HEALTH

CONTRACT DATA ANALYST - ANI

Wausau, WI · On-site

Aspirus Corporate Office in Wausau, WI is seeking a CONTRACT DATA ANALYST to join our ANI team! The Contract Analyst is responsible for providing analytics and recommendations on payor contracts at ...

Quantix

Data Analyst

Centennial, CO

Contract Length: 9 months Our client in the Centennial, Colorado area is looking for 2 Data Analysts to join their team on a contract basis. These analysts will join a team and be responsible for ...

BCForward

Data Analyst

New York, NY · Remote

$30 - $42/hr

Remote Contract Role Job Summary We are seeking a detail-oriented Data Analyst to support a short-term contract focused on building and maintaining an external workforce master dataset. This role ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

YUPRO Placement Data Analyst This is a contract opportunity. This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused on improving product reliability ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role ...

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All JobsContract Sport Data Analyst Jobs

Contract Sport Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do contract sport data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for contract sport data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are Contract Sport Data Analysts?

Contract Sport Data Analysts are professionals hired on a temporary or project basis to collect, analyze, and interpret sports-related data. Their work helps teams, coaches, and organizations make informed decisions about player performance, game strategies, and team management. Unlike full-time analysts, contract analysts typically work independently or for analytics firms, often supporting multiple clients simultaneously. Their responsibilities can include statistical modeling, data visualization, and delivering actionable insights tailored to the specific needs of sports clients.

How do Contract Sport Data Analysts typically collaborate with coaches and team management to influence strategic decisions?

As a Contract Sport Data Analyst, you often work closely with coaching staff and team management to provide actionable insights derived from data. This collaboration usually involves preparing reports, visualizations, and presentations to translate complex statistics into understandable recommendations for game strategies, player performance, and opponent analysis. Regular meetings and open lines of communication are essential, as your data-driven input can directly influence tactical decisions and roster changes. Building strong relationships with non-technical stakeholders ensures your analyses are valued and effectively implemented.

What are the key skills and qualifications needed to thrive as a Contract Sport Data Analyst, and why are they important?

To excel as a Contract Sport Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree in mathematics, statistics, or a related field. Familiarity with data analysis tools such as Excel, Python, R, and sports data platforms like Opta or Stats Perform is typically required. Attention to detail, effective communication, and problem-solving skills are important soft skills that help you interpret data and present insights clearly. These skills and qualities are crucial for delivering accurate, actionable analyses that support decision-making in competitive sports environments.

What is the difference between Contract Sport Data Analyst vs Contract Sports Statistician?

AspectContract Sport Data AnalystContract Sports Statistician
Required CredentialsBachelor's in Sports Analytics, Data Science, or related fieldBachelor's or Master's in Statistics, Mathematics, or Sports Science
Work EnvironmentSports teams, analytics firms, media companiesSports teams, research organizations, media outlets
Employer & Industry UsageFrequent in professional sports, media, and analytics firmsCommon in professional sports and research institutions

Both roles involve analyzing sports data, but Contract Sport Data Analysts focus more on data processing and visualization, while Contract Sports Statisticians emphasize statistical modeling and research. The roles often overlap, but the specific focus and skill set differ slightly depending on the employer's needs.

More about Contract Sport Data Analyst jobs
What cities are hiring for Contract Sport Data Analyst jobs? Cities with the most Contract Sport Data Analyst job openings:
What are the most commonly searched types of Sport Data Analyst jobs? The most popular types of Sport Data Analyst jobs are:
What states have the most Contract Sport Data Analyst jobs? States with the most job openings for Contract Sport Data Analyst jobs include:
What job categories do people searching Contract Sport Data Analyst jobs look for? The top searched job categories for Contract Sport Data Analyst jobs are:
Contract Sport Data Analyst jobs near you
Infographic showing various Contract Sport Data Analyst job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA

Full-time

Posted 18 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.