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Fantasy Football Analytics Jobs in California (NOW HIRING)

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 ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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 ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ...

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Fantasy Football Analytics information

What is fantasy football analytics?

Fantasy football analytics refers to the use of data analysis, statistics, and predictive modeling to help fantasy football players make more informed decisions about drafting, trading, and starting players. By analyzing player performance, matchups, trends, and other variables, analytics can provide insights that improve a team's chances of winning. Many fantasy football managers use analytics tools and resources to gain a competitive edge throughout the season.

What are the key skills and qualifications needed to thrive as a fantasy football analyst?

To excel as a Fantasy Football Analyst, you need strong analytical skills, a deep understanding of football statistics, and expertise in data interpretation, often supported by a background in statistics, sports management, or related fields. Familiarity with data analysis tools such as Excel, R, Python, and fantasy sports platforms is typically required. Excellent communication, adaptability, and attention to detail are important soft skills for translating complex data into actionable insights for audiences. These skills ensure accurate player evaluations, strategic recommendations, and engaging content that adds value for fantasy football participants.

What are some common challenges faced by professionals working in fantasy football analytics roles?

One of the key challenges in a fantasy football analytics role is balancing the use of complex statistical models with the unpredictability of real-life sports events, such as injuries or coaching changes. Analysts often need to quickly adapt their models to incorporate new data and trends, especially during the fast-paced football season. Additionally, collaborating with content creators or product managers to translate analytics insights into actionable advice for users can be challenging but rewarding. Staying current with both football trends and advancements in data analytics tools is essential for success in this dynamic field.

What is the difference between Fantasy Football Analytics vs Fantasy Sports Data Analyst?

AspectFantasy Football AnalyticsFantasy Sports Data Analyst
Required CredentialsStatistics, data analysis, sports knowledgeStatistics, data analysis, sports knowledge
Work EnvironmentSports analytics companies, fantasy platformsSports organizations, fantasy platforms
Employer & Industry UsageFocuses on fantasy sports strategies and predictionsBroader sports data analysis including fantasy and real sports

Fantasy Football Analytics primarily focuses on analyzing data to optimize fantasy football team performance, while Fantasy Sports Data Analysts work across various fantasy sports and real sports data to provide insights. Both roles require strong analytical skills and sports knowledge, but Fantasy Football Analytics is more specialized in fantasy football strategies.

What are popular job titles related to Fantasy Football Analytics jobs in California?

For Fantasy Football Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Fantasy Football Analytics jobs in California look for?

The top searched job categories for Fantasy Football Analytics jobs in California are:

What cities in California are hiring for Fantasy Football Analytics jobs?

Cities in California with the most Fantasy Football Analytics job openings:

Fantasy Football Analytics jobs near you
Infographic showing various Fantasy Football Analytics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Trading Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

$65K/yr

Full-time

Re-posted 29 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 - This position is 100% Remote
Duties:
  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions
  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Requirements:
  • Minimum of 3 years of in-game play experience at an online sportsbook
  • Deep understanding of sports betting and odds origination
  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate + convert odds on the fly
  • Results driven work ethic - focused on improving process, results and profitability
  • Availability to work flexible schedules, including nights, weekends and/or holidays

Preferred:
  • Bachelor's Degree in a STEM discipline
  • An understanding of relational database systems (MySQL)
  • Experience working with cross functional teams (Data Science teams a plus)

Salary: $65,000 - 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 Trading Operations Locations San Francisco, CA - Remote Remote status Fully Remote

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