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Live In Sports Data Analyst Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Monitor live sports markets and market activity in real time across a range of sports and market ... Track record of building and backtesting quantitative models using real historical data; GitHub ...

Sportradar

Sports Data Operator

Philadelphia, PA · On-site

$45/hr

You will be a vital part of the team, providing real-time data in an exciting work environment ... We are the leading global sports technology company creating immersive experiences for sports fans ...

Sportradar

Sports Data Operator

Honolulu, HI · On-site

$45/hr

You will be a vital part of the team, providing real-time data in an exciting work environment ... We are the leading global sports technology company creating immersive experiences for sports fans ...

Sportradar

Sports Data Operator

Honolulu, HI · On-site

$45/hr

You will be a vital part of the team, providing real-time data in an exciting work environment ... We are the leading global sports technology company creating immersive experiences for sports fans ...

Sportradar

Sports Data Operator

Honolulu, HI · On-site

$45/hr

You will be a vital part of the team, providing real-time data in an exciting work environment ... We are the leading global sports technology company creating immersive experiences for sports fans ...

Sportradar

Sports Data Operator

Kansas City, MO

$45/hr

You will be a vital part of the team, providing real-time data in an exciting work environment ... We are the leading global sports technology company creating immersive experiences for sports fans ...

AEG Worldwide

LA Kings - Sr. Data Analyst

El Segundo, CA · On-site

$91K - $115K/yr

... in transforming sports and live entertainment. Annually, we host more than 160 million guests ... The Sr. Data Analyst will play a pivotal role in maximizing revenue and driving dynamic pricing ...

Geskus

Data Collection

Stratham, NH · On-site

$21/hr

DESCRIPTION Sports Data Collector We are seeking a detail-oriented and reliable Sports Data ... Meet deadlines and maintain productivity in a fast-paced environment * Assist Sports & Seniors ...

Sportradar

Sports Data Operator (Remote)

New Orleans, LA · Remote

$45/hr

You will be a vital part of the team, providing real-time data in an exciting work environment ... We are the leading global sports technology company creating immersive experiences for sports fans ...

Masonicare Corp

Live In Caregiver

Wallingford, CT · On-site

$17/hr

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

2K

Data Analyst

Novato, CA · On-site

$85K - $130K/yr

What We Need We're looking for a passionate Data Analyst to support the Sports* Game Science ... Video games experience & passion - particularly in sports titles The pay range for this position in ...

Masonicare Corp

Live In Caregiver

Rocky Hill, CT · On-site

$17/hr

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

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How much do live in sports data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for live in sports 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.
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Live In Sports Data Analyst jobs near you
Infographic showing various Live In Sports Data Analyst job openings in the United States as of July 2026, with employment types broken down into 14% Internship, 44% Full Time, 14% Part Time, 14% Temporary, and 14% Contract. Highlights an 100% In-person 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 • On-site, Remote

Full-time

Re-posted 15 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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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