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Mlb Analyst Jobs in Colorado (NOW HIRING)

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 ...

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 ...

Mlb Analyst information

See Colorado salary details

$32.6K

$77K

$136.7K

How much do mlb analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for mlb analyst in Colorado is $77,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $91,500.00 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.

How do you become an MLB analyst?

To become an MLB analyst, individuals typically pursue a bachelor's degree in sports management, journalism, or a related field, and gain experience through internships or entry-level roles in sports media or statistics. Strong knowledge of baseball, data analysis skills, and proficiency with tools like Excel or statistical software are important for analyzing game data and providing insights.

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 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 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 professionals with specialized skills can earn higher compensation, often supplemented with bonuses or benefits.
What cities in Colorado are hiring for Mlb Analyst jobs? Cities in Colorado with the most Mlb Analyst job openings:
Infographic showing various Mlb Analyst job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,035 per year, or $37 per hour.

Senior Android Engineer, MLB App Feature Teams

Major League Baseball

Boulder, CO • Remote

Full-time

Life, Retirement, PTO

Posted 22 days ago


Job description

Major League Baseball is looking for a Senior Android Engineer, MLB App Feature Teams to join the team building the MLB App experiences that bring fans closer to the game, including personalized feeds, real-time scores and stats, notifications, widgets, advertising surfaces, and media experiences. You will own Android feature delivery end to end, from technical design and implementation through testing, rollout, observability, and production reliability.

This role is for an engineer who can operate independently in a large consumer app, make sound architecture decisions, raise the quality bar for the team, and use modern developer tools, including generative AI, responsibly and effectively.

Responsibilities

  • Build high-quality Android features in Kotlin and Jetpack Compose across app, media, and shared platform modules
  • Translate product requirements and Figma designs into polished, accessible, production-ready UI while maintaining cross-platform consistency with iOS
  • Design and implement clean, maintainable feature architecture that fits a modular Android codebase
  • Integrate REST and GraphQL APIs with resilient networking, thoughtful state handling, caching where appropriate, and clear failure states
  • Improve app performance, responsiveness, startup behavior, crash-free sessions, and overall reliability
  • Partner with Product, Design, iOS, Backend, QA, and Test Engineering to clarify requirements, shape technical plans, and define test coverage early
  • Monitor feature rollouts and production behavior using Firebase, Datadog, crash reporting, analytics, and release health signals
  • Own production issues from diagnosis through resolution, including root-cause analysis and follow-up prevention work
  • Drive measurable improvements in build time, delivery throughput, code quality, and engineering efficiency
  • Provide thoughtful PR reviews, mentor engineers, and help establish patterns that scale across feature teams
  • Use GenAI tools such as GitHub Copilot or similar assistants to accelerate implementation, refactoring, test generation, debugging, and documentation while retaining full engineering accountability
  • Validate AI-assisted work through tests, code review, static analysis, observability checks, and secure coding practices before merge
  • Follow internal AI usage guidance, repository conventions, data-handling expectations, and review standards

Qualifications & Skills

Required Qualifications

  • 6+ years of professional experience building production Android applications
  • Strong Kotlin, Android SDK, Jetpack Compose, coroutines, and modern Android architecture expertise
  • Experience working in modular Android codebases with shared core modules, design systems, and established architectural patterns
  • Strong REST and GraphQL integration experience, including error handling, async state management, and API contract collaboration
  • Proven testing discipline across unit, integration, snapshot, and UI testing, including experience running tests in CI
  • Experience diagnosing production issues using logs, metrics, crash reporting, analytics, and observability tools
  • Familiarity with push notifications, deep links, widgets, feature flags, experimentation, and release management
  • Strong Git workflow, code review, and written communication skills
  • Practical experience using GenAI developer tools to support software delivery, with the judgment to review, adapt, test, and explain generated code

Preferred Qualifications

  • Experience building high-traffic consumer apps with millions of users
  • Media, video streaming, sports, live events, or real-time data experience
  • Experience with Firebase, Datadog, GraphQL clients, analytics platforms, remote configuration, and experimentation frameworks
  • Experience improving app startup, rendering performance, memory usage, networking efficiency, or build performance
  • Experience in large shared repositories with many contributors and multiple release trains
  • Technical leadership experience, including mentoring, architecture reviews, and cross-team delivery
  • Familiarity with responsible GenAI practices, including prompt/context hygiene, AI-assisted test creation, and evaluation of generated code quality

Senior-Level Competencies

  • Drives ambiguous product and technical problems toward clear, shippable outcomes
  • Makes pragmatic tradeoffs across quality, speed, maintainability, performance, and user impact
  • Communicates technical decisions clearly to engineering and non-engineering partners
  • Raises team standards through code reviews, design feedback, mentoring, and documentation
  • Balances feature delivery with long-term platform health and operational reliability
  • Understands the broader codebase and internal tooling deeply enough to make changes safely across module boundaries
  • Uses metrics and production signals to guide decisions rather than relying only on intuition
  • Treats GenAI as a force multiplier, not a substitute for engineering judgment, ownership, or accountability

Salary Range: $150,000 - $185,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

  • Competitive Benefits Package
  • Company 401K Contribution
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance