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Remote Sports Data Analyst Jobs in California (NOW HIRING)

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

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 ... We need an experienced data analyst who can help us organize and maintain that data, as well as ...

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

As a Junior Data Analyst at Sparks Wiz Limited , you will support the data analytics team by ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

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Remote Sports Data Analyst information

What does a remote sports data analyst do?

A Remote Sports Data Analyst collects, processes, and interprets data related to sports events, teams, and athletes, all while working from a remote location. They use statistical tools and software to analyze game results, player performance, and other metrics to provide meaningful insights. These insights can help teams improve strategies, support media coverage, or assist betting companies. The role requires strong analytical skills, proficiency in data analysis software, and a deep understanding of sports. Remote Sports Data Analysts often present their findings through reports, dashboards, or visualizations for stakeholders.

What are the key skills and qualifications needed to thrive as a remote sports data analyst?

To thrive as a Remote Sports Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree in mathematics, statistics, or data science. Familiarity with data analysis tools such as Python, R, SQL, and sports analytics software, along with experience in data visualization platforms like Tableau, is typically required. Exceptional attention to detail, clear communication, and the ability to work independently are standout soft skills for this remote role. These skills are essential for accurately interpreting sports data, delivering actionable insights, and effectively collaborating with teams from a distance.

How do remote sports data analysts effectively collaborate with team members despite working from different locations?

Remote Sports Data Analysts typically use a variety of digital tools—such as project management platforms, instant messaging apps, and video conferencing software—to stay connected with colleagues. Regular virtual meetings and shared dashboards ensure that data insights are communicated clearly and deadlines are met. Collaboration often involves working closely with coaches, scouts, and other analysts to interpret data and provide actionable recommendations. Establishing strong communication habits and being proactive in sharing updates are key to overcoming the challenges of remote teamwork.

What are the most commonly searched types of Sports Data Analyst jobs in California?

The most popular types of Sports Data Analyst jobs in California are:

What job categories do people searching Remote Sports Data Analyst jobs in California look for?

The top searched job categories for Remote Sports Data Analyst jobs in California are:

What cities in California are hiring for Remote Sports Data Analyst jobs?

Cities in California with the most Remote Sports Data Analyst job openings:

Infographic showing various Remote Sports Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$145K/yr

Full-time

Posted 27 days ago


Job description

Company Overview
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.
Job Description
The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We're a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
  • Support production systems and help triage issues during live sporting events
  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
  • Build new sports betting data products and predictions offerings
  • Integrate large and complex real-time datasets into new consumer and enterprise products
  • Develop production-level predictive analytics into enterprise-grade APIs
  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements
  • BS/BA degree in Mathematics, Computer Science, or related STEM field
  • Minimum of 4+ years of demonstrated experience writing production level code (Python)
  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
  • Demonstrated experience with Kubernetes
  • Experience building end-to-end ETL pipelines
  • Experience utilizing REST APIs
  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
  • Experience with web scraping and cleaning unstructured data
  • Knowledge of data science and machine learning concepts
  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - DOE
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 Engineering Locations San Francisco, CA - Remote Remote status Fully Remote