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Mlb Analyst Jobs (NOW HIRING)

Apple, Inc.

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Description The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next ...

FanDuel Sports Network

Inventory Analyst, Ad Sales

Atlanta, GA · On-site

$28 - $38/hr

  • Medical

  • Retirement

  • PTO

As a local sports media platform, we're proud to be the local media partner for 29 MLB, NHL, and ... The Inventory Analyst, Ad Sales plays a critical role in maximizing the value of FanDuel Sports ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

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 ...

Mssg

Inventory Analyst, Ad Sales

New York, NY · On-site

$28 - $38/hr

  • Medical

  • Retirement

  • PTO

As a local sports media platform, we're proud to be the local media partner for 29 MLB, NHL, and ... The Inventory Analyst, Ad Sales plays a critical role in maximizing the value of FanDuel Sports ...

Mssg

Inventory Analyst, Ad Sales

Saint Louis, MO · On-site

$28 - $38/hr

  • Medical

  • Retirement

  • PTO

As a local sports media platform, we're proud to be the local media partner for 29 MLB, NHL, and ... The Inventory Analyst, Ad Sales plays a critical role in maximizing the value of FanDuel Sports ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

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 ...

Apple

Data Center - MLB Reliability Engineer

Austin, TX

$101K - $127K/yr

Description The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next ...

Mssg

Inventory Analyst, Ad Sales

Atlanta, GA · On-site

$28 - $38/hr

  • Medical

  • Retirement

  • PTO

As a local sports media platform, we're proud to be the local media partner for 29 MLB, NHL, and ... The Inventory Analyst, Ad Sales plays a critical role in maximizing the value of FanDuel Sports ...

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Mlb Analyst information

See salary details

$31K

$73.3K

$130K

How much do mlb analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for mlb 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 is an MLB analyst?

MLB analysts are professionals who evaluate and interpret data related to Major League Baseball. They use statistics, video footage, and advanced metrics to assess player performance, team strategies, and game outcomes. MLB analysts may work for sports networks, teams, or websites to provide insights for broadcasts, written reports, or front office decision-making. Their work helps fans, coaches, and executives understand the nuances of the game and make informed decisions.

What are the key skills and qualifications needed to thrive as an MLB analyst?

To thrive as an MLB Analyst, you need a strong background in statistics, data analysis, and a deep understanding of baseball rules and strategies, often supported by a degree in statistics, mathematics, or sports management. Familiarity with technical tools such as R, Python, SQL, and baseball analytics platforms like Statcast is typically required. Excellent communication, critical thinking, and attention to detail help analysts interpret data insights and convey findings to coaches, players, and executives. These skills are crucial for providing actionable insights that drive strategic decisions and improve team performance.

What are the main challenges MLB analysts face when interpreting player performance data?

MLB Analysts often encounter the challenge of sifting through vast amounts of player data to identify meaningful trends and insights. Variability in player performance, changes in game conditions, and the influence of external factors (like injuries or weather) can complicate drawing accurate conclusions. Analysts must also effectively communicate their findings to coaches, scouts, and front office staff, ensuring complex statistical insights are translated into actionable strategies. Staying current with evolving analytics tools and methodologies is essential for success in this role.

What is the difference between Mlb Analyst vs Baseball Data Analyst?

AspectMlb AnalystBaseball Data Analyst
Required CredentialsBachelor's in Sports Management, Statistics, or related field; knowledge of baseball statisticsBachelor's in Data Science, Statistics, or related; strong analytical skills in sports data
Work EnvironmentMajor League Baseball teams, sports analytics firms, media outletsSports organizations, analytics companies, media, or freelance projects
Industry UsagePrimarily within MLB teams and organizationsBroader sports industry, including minor leagues and independent teams

The main difference between an Mlb Analyst and a Baseball Data Analyst lies in their typical employment settings and scope. Mlb Analysts are usually employed directly by Major League Baseball teams or organizations, focusing on team-specific insights. Baseball Data Analysts may work across various levels of baseball or in broader sports analytics roles, often with a wider range of clients or organizations. Both roles require strong analytical skills and knowledge of baseball statistics, but their focus and employment environments differ.

How do you become an MLB analyst?

To become an MLB analyst, individuals typically need a strong background in baseball, such as a degree in sports management, journalism, or related fields, along with experience in sports media or broadcasting. Developing skills in data analysis, using tools like Statcast or other baseball analytics software, and gaining on-air or writing experience can also be important steps.

How much do MLB analysts make?

MLB analysts typically earn between $50,000 and $100,000 annually, depending on experience, location, and the level of the organization. Entry-level analysts may start at lower salaries, while experienced analysts with specialized skills or advanced certifications can earn higher compensation, especially in major league organizations or media companies.

Is it hard to get a job in MLB?

Getting a job as an MLB analyst can be competitive due to high demand and limited openings. Candidates typically need strong analytical skills, experience with data tools, and a background in sports or statistics. Networking and internships can also improve chances of securing a position.

What MLB analyst jobs are in high demand?

MLB analyst roles in high demand include data analysts, sabermetrics specialists, and broadcast analysts. These positions often require strong statistical skills, proficiency with tools like SQL and R, and a deep understanding of baseball metrics. The demand is driven by teams and media outlets seeking advanced analytics to improve performance and coverage.
More about Mlb Analyst jobs

What cities are hiring for Mlb Analyst jobs?

Cities with the most Mlb Analyst job openings:

What states have the most Mlb Analyst jobs?

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

The top searched job categories for Mlb Analyst jobs are:

Mlb Analyst jobs near you
Infographic showing various Mlb Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Data Center - MLB Reliability Engineer

Apple, Inc.

Austin, TX • On-site

$101K - $127K/yr

Other

Posted 13 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

At Apple, we don't just follow industry standards-we define them. We value creative problem-solving and the ability to adapt to new technical challenges. In this role, you will collaborate with diverse hardware teams to ensure our data center infrastructure is not only durable, but built to exceed expectations. From early concepts to field optimization, you will drive innovative reliability strategies and continuous improvement to shape the future of the critical systems powering our global services.
Description
The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next-generation Data Center motherboards. In this role, you will bridge the gap between component-level and package level physics of failures and system-level availability. You will drive SoC and board integration reliability through rigorous stress testing and physics-of-failure analysis, utilizing advanced statistical modeling to ensure these critical modules meet the uptime and availability requirements of a high-demand data center environment
Minimum Qualifications
BS in Materials Science, Electrical, Mechanical Engineering or an equivalent field desired with 5+ years of experience.
Proficiency in statistical life data analysis
Strong knowledge of Semiconductor package integration, SLI reliability, passive components, PCB reliability, bonding materials, and warpage control.
Ability to apply FMEA (Failure Modes and Effects Analysis) methodologies.
Excellent written and verbal communication skills with the ability to explain complex statistical concepts to non-experts.
Ability to manage multiple projects simultaneously in a fast-paced environment.
Preferred Qualifications
MS or PhD in Reliability Engineering, Systems Engineering, Electrical Engineering, Materials Science, or an equivalent field..
Background in reliability for large-die packages, heterogeneous integration, and high-power server motherboards.
Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures.
Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting languages for statistical modeling like Python, R, or MATLAB.
A record of initiating innovation and continuous improvement in reliability methodologies.
Dynamic and "can-do" attitude with a desire to work with a great team and product.
Exceptional problem-solving abilities and strong attention to detail.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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