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Sports Statistical Analyst Jobs in California (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... Support the calibration and refinement of prices using market signals, statistical models ...

Swish Analytics

Trading Analyst

San Francisco, CA

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... Support the calibration and refinement of prices using market signals, statistical models ...

Easy Recruiter

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 ... statistical analysis and a basic understanding of statistical modeling concepts * The ability to ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate ...

FanDuel

Commercial Analyst

Los Angeles, CA · On-site

... Sports BU, building on the team's governed data pipelines (Python, SQL, Databricks). You'll play ... Bachelor's degree or equivalent in a numerate field (business, math, stats, econ, finance, etc.

FanDuel

Commercial Analyst

Los Angeles, CA · On-site

... Sports BU, building on the team's governed data pipelines (Python, SQL, Databricks). You'll play ... Bachelor's degree or equivalent in a numerate field (business, math, stats, econ, finance, etc.

OC Sports and Entertainment

CRM Analyst

Anaheim, CA · On-site

$84K - $94K/yr

Join our team to help create and develop the future of live entertainment and sports in Orange ... Bachelor's degree, preferably in Business, Mathematics, Statistics, Information Systems, or a ...

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All JobsSports Statistical Analyst JobsSports Statistical Analyst Jobs in California

Sports Statistical Analyst information

See California salary details

$29.6K

$69.5K

$116K

How much do sports statistical analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for sports statistical analyst in California is $69,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $79,900.00 per year, depending on experience, location, and employer.

What is a sports statistical analyst?

A Sports Statistical Analyst collects, interprets, and applies data to evaluate player performance, team strategies, and game outcomes. They use statistical models, software, and historical data to provide insights that assist coaches, teams, and broadcasters in making informed decisions. Analysts may work for professional teams, media organizations, or sports betting companies. Their role is crucial in optimizing team performance, scouting talent, and identifying competitive advantages.

What are the typical career growth opportunities for a sports statistical analyst?

Sports Statistical Analysts often start by supporting senior analysts or working on specific teams, but with experience, they can advance to lead analyst, data scientist, or analytics management roles within sports organizations. Many professionals eventually specialize in areas such as player performance analysis, scouting, or strategic planning, and some transition into roles that work directly with coaching staff or front offices. Networking within the industry, gaining expertise in advanced analytics, and staying current with emerging data technologies can further enhance career progression. Advancement typically comes with increased responsibility, greater influence on decision-making, and opportunities to shape organization-wide strategies.

What are the key skills and qualifications needed to thrive in a sports statistical analyst position, and why are they important?

To thrive as a Sports Statistical Analyst, you need a strong background in statistics, mathematics, and sports analytics, typically supported by a bachelor's or master's degree in a related field. Familiarity with statistical analysis software like R or Python, expertise in data visualization tools such as Tableau, and experience with databases are commonly required, along with relevant certifications. Attention to detail, strong problem-solving skills, and effective communication are standout soft skills in this position. These competencies are crucial for generating actionable insights, ensuring accurate analyses, and clearly conveying complex findings to coaches, managers, and other stakeholders in the sports industry.

What are popular job titles related to Sports Statistical Analyst jobs in California?

For Sports Statistical Analyst jobs in California, the most frequently searched job titles are:

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

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

Sports Statistical Analyst jobs near you
Infographic showing various Sports Statistical Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $69,528 per year, or $33.4 per hour.

Trading Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-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 data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate, 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 high-performance pricing and trading systems.
Job Description
Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our sports pricing and trading operation.
In this role, you will work at the intersection of sports intelligence, pricing strategy, and live market behaviour. You will help manage and improve real-time pricing across a range of sports and market types, with a particular focus on market aware price discovery, risk management and the identification of actionable trading signals from market activity.
This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate pricing in the competitive sports betting environment.
You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US.
Duties
  • Monitor live sports markets and market activity in real time across a range of sports and market types
  • Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information
  • Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information
  • Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour
  • Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events
  • Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling
  • Work closely with Sports Trading teams to interpret breaking news, lineups, injuries, team news, and other event-specific developments to ensure timely and accurate price updates
  • Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams
  • Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales
  • Detect sharp or informative market activity and ensure useful signals are fed back into Swish's proprietary models and pricing systems
  • Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models
Requirements
  • Bachelor's degree or higher in a quantitative or analytical discipline (Mathematics, Statistics, Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent practical experience
  • Must have demonstrated hands-on experience in exchange-style environments, sports trading, sports betting, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter
  • Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk
  • Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value
  • Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events
  • Comfortable working autonomously across global event schedules, including weekends and major tournament periods
  • Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment
Preferred (but not essential)
  • Track record of building and backtesting quantitative models using real historical data; GitHub, notebooks, or demonstrable analytical work is highly valued
  • Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer
  • Understanding of relational database systems (MySQL or equivalent) for analysis of prices, outcomes, and trading decisions
  • Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution quality
  • Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement
  • Experience using modern AI tools to accelerate analysis, research, and modelling workflows
Why Join
This is an opportunity to play a meaningful role in a growing and well-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making within a team focused on high-quality pricing, efficient execution, and long-term product excellence across multiple sports verticals.
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 Trading Operations Locations San Francisco, CA - Remote, Malta - Remote, Spain - Remote, United Kingdom - Remote Remote status Fully Remote

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