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Remote Sports Data Operator Jobs in California (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

Firstup is a sports and communication platform dedicated to taking the work out of play in youth ... Remote-First Places to Work . Firstup believes in the power of data to produce great business ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Data Architect- REMOTE

Santa Monica, CA · On-site +1

$71.50 - $92/hr

Basically, your qualification for this job is proven experience operating in a high performing and ... Experience with data warehouse implementations * Data visualization experience Additional ...

Data Architect- REMOTE

Santa Monica, CA · Remote

$71.50 - $92/hr

Basically, your qualification for this job is proven experience operating in a high performing and ... Experience with data warehouse implementations * Data visualization experience Additional ...

Document and update standard operating procedures for data-related tasks and reporting processes ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

... and operating notes - Work independently in a remote, flexible environment - Collaborate with ... data, or operations is helpful but not required WHY APPLY Career Launch helps candidates build ...

Data entry into CRM system * Assist with other related duties as needed Skills Knowledge and ... Work Environment - The working conditions of this position include working in a remote fashion and ...

Los Angeles, CA or remote in the US Division: Ticketmaster Line Manager: Manager, Pricing Data ... You will be working on some of the most interesting and challenging problems in the sports, arts ...

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Showing results 1-20

Remote Sports Data Operator information

What is the difference between Remote Sports Data Operator vs Remote Sports Data Analyst?

AspectRemote Sports Data OperatorRemote Sports Data Analyst
CredentialsBasic data entry skills, familiarity with sports terminologyAdditional analytical skills, possibly a degree in statistics or related field
Work EnvironmentRemote, primarily data entry and managementRemote, includes data analysis and reporting tasks
Employer & Industry UsageSports data companies, media outlets, betting firmsSports analytics firms, media, betting companies
Search & Comparison IntentUnderstanding entry-level sports data rolesLooking for analytical or advanced data roles in sports

The main difference between a Remote Sports Data Operator and a Remote Sports Data Analyst lies in their responsibilities and skill requirements. Data Operators focus on data entry and management, requiring basic skills, while Data Analysts perform deeper analysis, often needing advanced statistical knowledge. Both roles are remote and serve the sports industry, but Analysts typically handle more complex tasks and insights.

What are the most commonly searched types of Sports Data Operator jobs in California? The most popular types of Sports Data Operator jobs in California are:
What job categories do people searching Remote Sports Data Operator jobs in California look for? The top searched job categories for Remote Sports Data Operator jobs in California are:
What cities in California are hiring for Remote Sports Data Operator jobs? Cities in California with the most Remote Sports Data Operator job openings:
Infographic showing various Remote Sports Data Operator job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 25 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