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Baseball Data Analyst Jobs in Missouri (NOW HIRING)

Senior Software Developer

Saint Louis, MO · On-site

$53 - $70/hr

... technology and data analytics. It stands as the clear front-runner in providing affordable ... USA Baseball, and over 1000 NCAA athletic departments. Become a part of Team Rapsodo as we ...

... technology and data analytics. It stands as the clear front-runner in providing affordable ... USA Baseball, and over 1,000 NCAA athletic departments. Become a part of Team Rapsodo as we ...

... technology and data analytics. It stands as the clear front-runner in providing affordable ... USA Baseball, and over 1,000 NCAA athletic departments. Become a part of Team Rapsodo as we ...

... technology and data analytics. It stands as the clear front-runner in providing affordable ... USA Baseball, and over 1,000 NCAA athletic departments. Become a part of Team Rapsodo as we ...

Senior Product Manager - Golf

Saint Louis, MO · On-site

$123K - $162K/yr

... data. Our partners include the PGA of America, Golf Digest, Troon, multiple Major League Baseball ... Conduct ongoing competitive analysis of the golf technology landscape to inform product positioning ...

Senior Product Manager - Golf

Saint Louis, MO · On-site

$123K - $162K/yr

... data. Our partners include the PGA of America, Golf Digest, Troon, multiple Major League Baseball ... Conduct ongoing competitive analysis of the golf technology landscape to inform product positioning ...

Senior Product Manager - Golf

Saint Louis, MO · On-site

$123K - $162K/yr

... data. Our partners include the PGA of America, Golf Digest, Troon, multiple Major League Baseball ... research, analysis, requirements definition, documentation and product communication. • Write ...

... data analytics. We provide athletes and coaches with affordable, professional-grade tools to ... Baseball, MLB teams, and over 1,000 NCAA athletic departments. Join Team Rapsodo as we build the ...

... data analytics. We provide athletes and coaches with affordable, professional-grade tools to ... Baseball, MLB teams, and over 1,000 NCAA athletic departments. Join Team Rapsodo as we build the ...

... data analytics. We provide athletes and coaches with affordable, professional-grade tools to ... Baseball, MLB teams, and over 1,000 NCAA athletic departments. Join Team Rapsodo as we build the ...

Showing results 21-35

Baseball Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do baseball data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for baseball data analyst in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What is a baseball data analyst?

A Baseball Data Analyst is a professional who uses statistical methods and data modeling to evaluate player performance, team strategies, and game outcomes in baseball. They collect and analyze data from games, practices, and scouting reports to provide insights that can help teams make informed decisions. Their work might include creating predictive models, visualizing trends, and presenting findings to coaches, managers, or front office staff. Baseball Data Analysts play a key role in player recruitment, development, and in-game strategy. They typically have a background in statistics, mathematics, or computer science, often paired with a deep understanding of baseball.

What does a baseball data analyst do?

As a baseball data analyst, your primary responsibilities are to gather baseball statistics, provide analysis, and report the results to understand frameworks for players and develop a model. Your duties may involve using advanced statistical methods, completing data mining, designing and testing predictive models, creating tools, integrating data, and executing SQL databases. You work with sabermetrics and other analytical software to evaluate the performance of players during games throughout the season and interpret that information to assist teams with player decisions. Baseball data analysts work for the MLB as well as collegiate teams.

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

To thrive as a Baseball Data Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and a solid understanding of baseball fundamentals. Proficiency with data analysis tools such as R, Python, SQL, and experience using baseball-specific data platforms like TrackMan or Statcast are typically required. Exceptional attention to detail, effective communication, and the ability to work collaboratively with coaches and players make someone stand out in this role. These skills and qualities are crucial for accurately interpreting data, informing strategic decisions, and maximizing team performance.

How does a baseball data analyst typically collaborate with coaches and players to improve team performance?

Baseball Data Analysts work closely with coaches and players by translating complex data into actionable insights that can impact game strategy and player development. They often present statistical findings in clear, visual formats to help coaches make informed decisions about lineups, defensive positioning, and in-game tactics. Regular meetings and open communication ensure that data-driven recommendations are understood and integrated into training sessions and game plans. This collaboration fosters a culture of continuous improvement and innovation within the team.

What are the most commonly searched types of Baseball Data Analyst jobs in Missouri?

The most popular types of Baseball Data Analyst jobs in Missouri are:

What are popular job titles related to Baseball Data Analyst jobs in Missouri?

For Baseball Data Analyst jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Baseball Data Analyst jobs in Missouri look for?

The top searched job categories for Baseball Data Analyst jobs in Missouri are:

What cities in Missouri are hiring for Baseball Data Analyst jobs?

Cities in Missouri with the most Baseball Data Analyst job openings:

Infographic showing various Baseball Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Senior Software Developer

Rapsodo

Saint Louis, MO • On-site

$53 - $70/hr

Full-time

Re-posted 19 days ago


Job description

Company Overview
With its headquarters in Singapore and strategically placed offices across the United States, Turkey, Japan, and Malaysia, Rapsodo represents more than just sports technology and data analytics. It stands as the clear front-runner in providing affordable, professional-grade technology for athletes aiming to enhance their performance.
The company currently collaborates with partners such as The PGA of America, Golf Digest, Troon, various Major League Baseball teams, USA Baseball, and over 1000 NCAA athletic departments.
Become a part of Team Rapsodo as we challenge limits and unveil endless potential, one data point and one heartwarming success story at a time.
Powered by Athletes who get it, and Engineers who can do it.
Role Purpose
This role exists to be the connective tissue between cross-functional teams, translating complex system trade-offs into clear decisions and embedding AI-assisted development into how we build. This is a role for an engineer who thinks in systems, executes with precision, and communicates with clarity.
Key Responsibilities
  • Champion AI-assisted development across architecture, design, and implementation-driving adoption and establishing the practices that make it last.
  • Define and own best practices for AI-assisted system design, code generation, documentation, and testing.
  • Assess and integrate AI tooling into the development lifecycle with a focus on security, scalability, and long-term maintainability.
  • Assess incoming feature requests and determine technical feasibility within the Kotlin Multiplatform codebase.
  • Own architectural scoping-articulating trade-offs and risks, particularly at the boundary between shared and platform-specific code.
  • Design and document scalable architectures that clearly define module boundaries, data flow, threading models, and dependency injection strategies.
  • Lead KMP technical decision-making, keeping solutions aligned with iOS and Android platform constraints and best practices.
  • Define and execute migration strategies from legacy implementations to shared KMP modules where the tradeoff is justified.
  • Coordinate cross-functional dependencies across firmware, backend, Unity, and QA to maintain system-wide consistency and delivery commitments.
  • Build and maintain a living knowledge base-architecture documentation, system diagrams, and technical specs that teams actually use.
  • Continuously improve developer experience through smarter tooling, build optimization, CI/CD, and modularization.
  • Set and uphold high standards for code quality, testability, and maintainability across shared and platform-specific code.

Requirements
Role Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8+ years of mobile development experience with deep familiarity across both Android and iOS ecosystems.
  • 3+ years shipping Kotlin Multiplatform in production.
  • Deep command of Clean Architecture, modularization, and separation of concerns in multi-platform systems.
  • Proven experience designing shared domain and data layers with well-defined boundaries between shared logic and platform-specific UI.
  • Strong command of Kotlin Coroutines, Flow (StateFlow, SharedFlow), and cross-platform concurrency models.
  • Hands-on experience with dependency injection (Koin or equivalent) in multi-module environments.
  • Familiarity with Compose Multiplatform and native UI frameworks (SwiftUI/UIKit, Jetpack Compose).
  • Experience architecting networking and data layers in a multiplatform context, including offline-first design, sync strategies, and caching.
  • Strong understanding of KMP-iOS interoperability and the nuances of designing APIs for Swift consumers.
  • Solid experience with Gradle, dependency management, and CI/CD pipelines for multi-platform projects.
  • Experience building device-connected applications (BLE, Wi-Fi, TCP) with a focus on reliability and real-time data handling.
  • Proven ability to translate complex technical decisions into clear specifications that align cross-functional teams.
  • Strong communicator who can cut through complexity and align stakeholders across mobile, backend, firmware, and QA.
  • Substantial hands-on experience with AI-assisted development tools and a track record of integrating them meaningfully into engineering workflows.
  • Sharp judgment when evaluating AI-generated outputs-knowing when to trust, when to verify, and when to rewrite.