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Mlb Analytics Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/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 ...

Major League Baseball

Manager, League Strategy

New York, NY · On-site

$105K - $130K/yr

Build deep relationships across MLB's Office of the Commissioner to ensure strategic alignment and break down departmental silos * Financial & Market Analysis: Conduct rigorous quantitative analysis ...

Major League Baseball

Media Planner

New York, NY · On-site

$70K - $72K/yr

MLB is seeking a highly skilled and motivated Media Planner to join our Strategic Planning team. As ... Analyze traffic and rating trends during the planning phase to inform decision-making and enhance ...

Major League Baseball

Director, Accounting

El Segundo, CA · On-site

$150K - $190K/yr

Together with MLB, Tickets.com is changing the landscape of the live sports and entertainment ... Analyze financial data and provide results and recommendations to management * Review and approve ...

Major League Baseball

Software Engineer

Boulder, CO · On-site

$120K - $155K/yr

... MLB.TV Connected TV experience focused on Streaming and Subscriptions. You will work in small ... Familiarity with analytics instrumentation and experiment-friendly feature delivery * Experience ...

Major League Baseball

Media Planner

New York, NY

$70K - $72K/yr

MLB is seeking a highly skilled and motivated Media Planner to join our Strategic Planning team. As ... Your expertise in media planning and your ability to analyze industry trends will contribute to the ...

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How much do mlb analytics jobs pay per year?

As of Jul 23, 2026, the average yearly pay for mlb analytics in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

How much does a baseball statistician make?

A baseball statistician's salary varies based on experience, education, and the level of employment, but entry-level positions typically start around $40,000 to $60,000 annually. Experienced analysts working for Major League Baseball teams or in consulting roles can earn upwards of $80,000 to $120,000 or more, especially with specialized skills in data analysis and familiarity with tools like SQL or R.

Is there a career in sports analytics?

A career in sports analytics involves analyzing player and team data to inform strategic decisions, often requiring skills in statistics, data analysis, and familiarity with tools like SQL or R. Roles such as MLB analyst focus on evaluating performance metrics and trends, with opportunities in teams, media, and consulting firms.

What is an MLB Analytics job?

An MLB Analytics job involves analyzing baseball data to help teams make informed decisions about player performance, strategy, and roster construction. Analysts use statistical models, data visualization, and machine learning to evaluate player tendencies, optimize lineups, and assess in-game strategies. These roles often require proficiency in programming languages like Python or R, as well as experience with databases and advanced statistical methods.

How much do MLB analytics jobs pay?

MLB analytics jobs typically offer salaries ranging from $50,000 to over $100,000 annually, depending on experience, education, and specific role responsibilities. Entry-level positions may start lower, while experienced analysts or those with specialized skills in data analysis, statistics, or programming can earn higher salaries. Compensation often includes benefits and opportunities for advancement within sports organizations or consulting firms.

What are the key skills and qualifications needed to thrive in the Mlb Analytics position, and why are they important?

To thrive in MLB Analytics, you need a strong background in statistics, data science, and baseball analytics, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, advanced proficiency with data visualization tools, and experience using statistical modeling software are typically required. Strong communication, critical thinking, and teamwork skills help translate complex data insights into actionable recommendations for coaches and front office staff. These skills are crucial to drive informed decision-making and gain a competitive edge in the dynamic environment of Major League Baseball.

How do you become an MLB analyst?

To become an MLB analyst, individuals typically need a strong background in baseball, statistics, or data analysis, often holding a degree in sports management, statistics, or related fields. Proficiency in data analysis tools like Excel, SQL, or specialized sports analytics software is important, along with experience in baseball scouting, broadcasting, or journalism. Building a portfolio of analysis work and networking within the sports industry can also help secure opportunities in MLB analytics.

What are the primary responsibilities of someone working in MLB Analytics on a day-to-day basis?

Professionals in MLB Analytics are responsible for collecting, cleaning, and analyzing large sets of baseball performance data to provide actionable insights for coaching staff, players, and management. Their daily work often involves developing predictive models, preparing visualizations and reports, and collaborating with other departments like scouting, sports medicine, and player development. They frequently attend meetings with coaches, weigh in on player acquisitions or game strategies, and may be tasked with presenting findings to non-technical audiences. The role is highly collaborative and dynamic, requiring both technical expertise and a deep understanding of the game.

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Mlb Analytics jobs near you
Infographic showing various Mlb Analytics job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Trading Analyst

Trading Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

$80K/yr

Full-time

Posted 25 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-play experience at a 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: $80,000 - 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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