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Sports Analyst Jobs (NOW HIRING)

DAZN

Sports Specialist

New York, NY · Hybrid

$65K - $90K/yr

You will use your deep knowledge of American Sports to analyse user journeys, test new features, identify friction points, compare DAZN against competitors, and provide ongoing feedback that improves ...

dazn

Sports Specialist

Manhattan, NY · On-site

$65K - $90K/yr

You will use your deep knowledge of American Sports to analyse user journeys, test new features, identify friction points, compare DAZN against competitors, and provide ongoing feedback that improves ...

NPG Companies

Sports Reporter

Saint Joseph, MO

Analytics platforms * Knowledge of northwest Missouri and northeast Kansas sports Excellent verbal, written and analytical skills are a must, along with a strong motivation and work ethic, and an ...

New

Hive

Analyst, Media & Sports

San Francisco, CA · On-site

$60K - $85K/yr

Analyst, Media & Sports We are looking for talented candidates to join our Hive Media team, a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered ...

Hive

Analyst, Media & Sports

San Francisco, CA · On-site

$60K - $85K/yr

Analyst, Media & Sports We are looking for talented candidates to join our Hive Media team, a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered ...

Star Tribune

Audience Editor - Sports

Minneapolis, MN · On-site

This role will be embedded with the Sports desk and serve as the lead strategist for audience ... Ability to analyze performance data and translate it into clear, actionable newsroom insights that ...

Betting Hero

Sports Betting Analyst

Detroit, MI · On-site

$50/hr

Betting Hero partners with top sports betting and online gambling operators across hundreds of venues spanning the U.S. Betting Hero has helped over 500,000 customers at events nationwide register ...

Swish Analytics

Send Us Your Resume!

San Francisco, CA · On-site +1

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 ...

Swish Analytics

Send Us Your Resume!

San Francisco, CA · On-site

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 ...

gannett

Sports Editor

Peoria, IL

Proven proficiency in applying analytics to content strategy * Strong communication and ... Understanding of the multi-faceted sports environment - from game coverage to fan experiences

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 next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

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 ...

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Sports Analyst information

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$31K

$73.3K

$130K

How much do sports analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for sports analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What degree is best for a sports analyst?

A sports analyst typically benefits from a bachelor's degree in fields such as sports management, sports journalism, communications, statistics, or a related area. Strong analytical skills, proficiency with data analysis tools, and knowledge of sports are also important for success in this role.

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

To thrive as a Sports Analyst, you need a strong grasp of sports statistics, analytical thinking, and in-depth knowledge of the games and leagues you cover, often supported by a degree in sports management, statistics, or journalism. Proficiency with data analysis software (like Excel, R, or Python), sports analytics platforms, and broadcast or publishing tools is typically expected. Excellent communication, attention to detail, and the ability to interpret and present complex data in an engaging manner are vital soft skills. These competencies enable accurate insights, compelling storytelling, and informed decision-making for audiences and organizations.

What qualifications are needed to be a sports analyst?

A sports analyst typically needs a bachelor's degree in sports management, journalism, communications, or a related field. Strong analytical skills, knowledge of sports statistics, and proficiency with data analysis tools or software are important. Relevant experience through internships or related roles can also enhance job prospects.

What do you do as a sports analyst?

A sports analyst evaluates athletic performance, game strategies, and team statistics to provide insights and predictions. They analyze data, watch games, and often use tools like video software and statistical programs to inform commentary, reporting, or coaching decisions.

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

AspectSports AnalystSports Data Analyst
Required CredentialsBachelor's degree in sports management, marketing, or related field; knowledge of sports industryBachelor's degree in statistics, data science, or related field; proficiency in data analysis tools
Work EnvironmentSports teams, media outlets, or sports organizationsData-focused roles within sports organizations, analytics firms, or media companies
Employer & Industry UsageUsed by sports teams, broadcasters, and marketing agencies to analyze team performance and audience engagementUsed by sports organizations and analytics companies to interpret large datasets and generate insights

While both roles involve analyzing sports-related information, Sports Analysts focus on evaluating team performance, game strategies, and providing insights for media or coaching. Sports Data Analysts specialize in interpreting large datasets, creating models, and supporting decision-making through data-driven insights. Both roles require analytical skills, but their focus and tools differ.

What does a sports analyst do?

A sports analyst is a professional with a background in journalism, analytics, or a particular sport. As a sports analyst, your duties vary depending on the medium and employer. You may provide commentary and expert insight during the broadcast of a sporting event, work with data and statistical modeling to find relevant sports information and trends, or interview athletes and coaches before a sporting event. Your responsibilities may also involve traveling to the site of the game to provide live analysis during a broadcast.

What are some common challenges sports analysts face when working with large datasets and live game statistics?

Sports Analysts often encounter challenges such as managing real-time data influx during live games, ensuring the accuracy of rapidly changing statistics, and integrating data from multiple sources. Balancing speed and precision is crucial, as quick insights are valuable but must remain reliable. Collaborating closely with coaches, broadcasters, and technical teams helps ensure that analyses are actionable and tailored to the needs of various stakeholders.
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Cities with the most Sports Analyst job openings:

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

The most popular types of Sports Analyst jobs are:

Who are the top companies hiring for Sports Analyst jobs?

The top employers for Sports Analyst jobs are:

What states have the most Sports Analyst jobs?

States with the most job openings for Sports Analyst jobs include:

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

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

Sports Analyst jobs near you
Infographic showing various Sports Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 61% Full Time, 35% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Quantitative Analyst - Prediction Markets

Moreton Capital Partners

Remote

Full-time

Re-posted 15 days ago

Job description

Quantitative Analyst - Prediction Markets
About Moreton Capital Partners
Moreton Capital Partners (MCP) is a CFTC regulated systematic, technology-first investment manager trading across commodities, alternative markets, and emerging data-rich asset classes. We combine quantitative modelling, agentic AI, and deep domain expertise to build strategies with durable, uncorrelated alpha.
We are building a dedicated prediction markets fund and are looking for a Quantitative Analyst to own the research function within that team. This is a ground-up role: you will have genuine ownership of the work, direct access to senior decision-makers, and the opportunity to see your models run live in a real portfolio.
The Role
As Quantitative Analyst, you will drive the research process that underpins our prediction markets trading strategies. You will develop alpha signals, build and validate models, and work closely with our traders and engineers to take research from idea to live deployment. You will own projects end to end - from data ingestion and exploratory analysis through to implementation, testing, and performance monitoring.
We operate across a broad event universe including professional sports, macroeconomics, geopolitics, climate, and financial markets. Research breadth and the ability to develop domain expertise quickly are assets here.
Responsibilities
  • Conduct rigorous quantitative research to identify new alpha signals across prediction market categories - sports, macro, political, financial, and environmental events.
  • Own the end-to-end research process in close collaboration with the Portfolio Manager: data sourcing and ingestion, exploratory analysis, methodology design, implementation, backtesting, and live performance evaluation.
  • Build and maintain data pipelines drawing on alternative and traditional data sources - market microstructure, public resolution data, news and sentiment feeds, sports analytics databases, and fundamental datasets.
  • Develop and improve models for fair value estimation, calibration analysis, and systematic strategy construction.
  • Extend and improve MCP's internal research platform - tools, libraries, and workflows that make the whole team faster and more rigorous.
  • Maintain a systematic review of the academic and practitioner literature on prediction markets, sports analytics, Bayesian forecasting, and related fields.
  • Produce clear, structured research outputs - documented methodology, performance attribution, and actionable recommendations - that can be directly used by traders.

Requirements
  • Undergraduate or postgraduate degree from a strong institution in data science, computer science, mathematics, statistics, operations research, financial engineering, or a closely related quantitative field.
  • Strong Python skills: pandas, NumPy, scikit-learn, and experience building backtesting or research frameworks from scratch.
  • Solid foundation in statistics, probability, time-series analysis, and machine learning - with the ability to apply these rigorously rather than just use libraries.
  • Demonstrated interest in prediction markets - personal trading, research, protocol analysis, or equivalent engagement. We expect you to know these platforms well.
  • Ability to work independently and take full ownership of a research workstream, not just execute tasks handed to you.
Bonus Points For
  • Two or more years of experience in a data-driven research environment with a focus on model development and forecasting - though we will consider exceptional candidates at earlier career stages.
  • Familiarity with Polymarket and/or Kalshi platform mechanics, resolution data, and API access.
  • Experience with NLP, sentiment analysis, or unstructured data processing applied to financial or event-driven contexts.
  • Comfort with agentic AI frameworks and LLM-based research tooling - MCP is actively investing in this area.
  • Knowledge of Bayesian methods and their application to probability calibration and forecast updating.
  • Experience with blockchain data or on-chain analytics tools relevant to decentralised prediction market platforms.
Who Thrives Here
The best Quantitative Analysts at MCP combine academic rigour with genuine curiosity - they read papers because they want to, follow market resolutions because they are interesting, and build things outside of work because they cannot help it. We value intellectual honesty, the ability to kill your own ideas when the data says so, and the drive to turn good research into production-quality work.
This role is well suited to a researcher who wants to see their work actually trade. Every model you build has a clear path to live deployment, and you will have direct visibility into how your research performs in the market.
How to Apply
Send your CV and a cover letter that demonstrates your genuine engagement with prediction markets and quantitative research. We want to understand what you have built, what you have studied, and how you think about identifying and validating an edge.
Include links to any relevant work: GitHub repositories, research write-ups, Kaggle or competition work, or personal projects. Applications reviewed on a rolling basis. Strong candidates will complete a technical exercise focused on real prediction market data, followed by a research discussion with the team.
Benefits
Compensation
Base salary commensurate with experience, performance-linked bonus. We will discuss specifics with the right candidate.

Apply