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Baseball Performance Analyst Jobs in Missouri (NOW HIRING)

Rapsodo

Senior Software Developer

Saint Louis, MO · On-site

$53 - $70/hr

... analytics. It stands as the clear front-runner in providing affordable, professional-grade ... performance. The company currently collaborates with partners such as The PGA of America, Golf ...

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Baseball Performance Analyst information

What does a baseball performance analyst do?

A Baseball Performance Analyst uses data and statistical methods to evaluate player performance, team strategy, and game outcomes. They collect, analyze, and interpret large amounts of baseball data to provide insights that can help coaches and players improve their game. Their work includes creating performance reports, developing predictive models, and recommending strategies for player development and in-game decisions. They often collaborate closely with coaching staff and scouts to turn data-driven insights into actionable plans.

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

A Baseball Performance Analyst works closely with coaches and players by providing data-driven insights on player mechanics, game strategy, and opponent tendencies. Analysts often attend practices and games to collect real-time data, then translate complex statistics into actionable recommendations that coaches can use to adjust training plans or in-game tactics. Regular meetings and clear communication are essential to ensure that analytical findings are understood and effectively integrated into team routines. Building trust with coaching staff and players is key, as the analyst's role is to support rather than replace traditional baseball expertise.

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

To thrive as a Baseball Performance Analyst, you need a solid background in statistics, data analysis, and sports science, often supported by a relevant degree such as statistics, data science, or kinesiology. Proficiency with tools like R, Python, SQL, and sports analytics platforms such as TrackMan or Statcast is typically required. Strong communication, critical thinking, and teamwork skills help analysts effectively convey insights to coaches and players. These skills are crucial for translating complex data into actionable strategies that enhance player performance and team success.

What is the difference between Baseball Performance Analyst vs Baseball Scout?

AspectBaseball Performance AnalystBaseball Scout
CredentialsSports science, data analysis, or related degrees; certifications in analytics toolsExperience in baseball, talent evaluation, and scouting certifications
Work EnvironmentData analysis labs, team facilities, stadiumsGame venues, training facilities, travel for games
Employer & Industry UsageTeams, analytics firms, sports organizationsMajor league and minor league teams, amateur clubs
Search & Comparison IntentFocus on data, performance metrics, and analyticsFocus on player talent, potential, and scouting reports

The main difference is that Baseball Performance Analysts focus on analyzing data to improve player performance, while Baseball Scouts evaluate players' talent and potential through observation. Both roles are essential in baseball but serve different functions within teams and organizations.

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

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

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

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

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

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

Baseball Performance Analyst jobs near you
Infographic showing various Baseball Performance Analyst job openings in Missouri as of July 2026, with employment types broken down into 68% Full Time, 8% Part Time, and 24% Contract. Highlights an 60% Physical, 5% Hybrid, and 35% Remote job distribution.

Senior Software Developer

Rapsodo

Saint Louis, MO • On-site

$53 - $70/hr

Full-time

Re-posted 18 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.

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