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Mlb Data Analyst Jobs in Texas (NOW HIRING)

Apple

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 ... Proficiency in statistical life data analysis Strong knowledge of Semiconductor package integration ...

Apple

Data Center - MLB Reliability Engineer

Austin, TX

$101K - $127K/yr

In this role, you will collaborate with diverse hardware teams to ensure our data center ... Apply physics-of-failure principles to analyze semiconductor packages, Second Level Interconnects ...

CSAT Solutions

MLB Repair Technician 1

Houston, TX · On-site

$17.50 - $23.75/hr

Performs computer data entry using Microsoft Excel and/or internal databases including production ... analysis, and diagnosis * Intermediate skills in through-hole soldering * Familiar with surface ...

KitchFix

Executive Chef

Arlington, TX · On-site

$64K - $88K/yr

Write weekly schedules according to the MLB schedule * Track & manage account budgets, being a good ... Analytical . You can gather information from various sources and interpret the data to reach a ...

KitchFix

Executive Chef

Arlington, TX

$64K - $88K/yr

Write weekly schedules according to the MLB schedule * Track & manage account budgets, being a good ... Analytical . You can gather information from various sources and interpret the data to reach a ...

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How much do mlb data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for mlb data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is an MLB data analyst?

An MLB Data Analyst collects, processes, and interprets baseball-related data to provide insights that help teams make informed decisions. They analyze player performance, game statistics, and scouting reports using statistical models, databases, and programming languages like SQL, Python, or R. Their work supports player evaluation, game strategy, and front-office decisions, optimizing team performance both on and off the field.

What are the typical daily responsibilities of an MLB data analyst?

As an MLB Data Analyst, your daily responsibilities often include collecting, cleaning, and analyzing large datasets on player performance, game outcomes, and biometric information. You'll prepare reports and visualizations to communicate findings to coaches, scouts, and executives, translating complex data into actionable recommendations. Collaboration with other analysts, front office personnel, and even coaching staff is common, and you'll frequently handle ad-hoc research requests or project assignments. Staying current with industry tools and new data sources also forms a key part of the day-to-day workflow.

What are the key skills and qualifications needed to thrive in the MLB data analyst position, and why are they important?

To thrive as an MLB Data Analyst, you need strong quantitative skills, expertise in statistical analysis, and an educational background in mathematics, statistics, computer science, or a related field. Familiarity with tools and programming languages such as SQL, R, Python, and sports analytics platforms like TrackMan or Statcast is highly valuable. Attention to detail, effective communication, and the ability to work collaboratively with coaches and front office staff are standout soft skills. These abilities are critical for delivering actionable insights that enhance team performance and guide strategic decision-making within a competitive environment.

How to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a bachelor's degree in statistics, data science, or a related field, along with strong skills in data analysis tools like SQL, Python, or R. Experience with baseball statistics, understanding of sabermetrics, and familiarity with data visualization are also important for analyzing player and game data effectively.

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Mlb Data Analyst jobs near you
Infographic showing various Mlb Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Center - MLB Reliability Engineer

Apple

Austin, TX • On-site

$101K - $127K/yr

Full-time

Posted 21 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

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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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