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Baseball Data Analyst Jobs in Georgia (NOW HIRING)

Baseball Tech Director

Atlanta, GA · On-site

$76K - $101K/yr

Ensure roll-outs meet reliability, latency and data-quality targets across all leagues and ... Lead the service management function, including incident response, root-cause analysis, change ...

Trading Card Pricing Associate

Atlanta, GA · On-site +1

$60K - $70K/yr

... baseball, football, pokemon. * Weigh in on detailed card questions, such as card values ... Meticulously enter and maintain card data in Alt's database, capturing intricate details ...

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Baseball Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do baseball data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for baseball data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 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 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 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 most commonly searched types of Baseball Data Analyst jobs in Georgia? The most popular types of Baseball Data Analyst jobs in Georgia are:
What job categories do people searching Baseball Data Analyst jobs in Georgia look for? The top searched job categories for Baseball Data Analyst jobs in Georgia are:
What cities in Georgia are hiring for Baseball Data Analyst jobs? Cities in Georgia with the most Baseball Data Analyst job openings:
Infographic showing various Baseball Data Analyst job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Baseball Tech Manager - Data Systems

Hawk Eye Innovations

Atlanta, GA • On-site

$57K - $76K/yr

Full-time

Posted 4 days ago


Job description

Baseball Tech Manager - Data Systems
Reports to: Director of Tech
Contract: Full‑Time, Permanent
Location: Atlanta, GA required.
Role Overview
The Baseball Tech Manager - Data Systems is responsible for the production readiness, deployment, monitoring, support and continuous improvement of Baseball's post-game data systems, while maintaining close alignment with live game operations across both cloud and on-prem environments.
This role sits within the Baseball Tech function and reports to the Director of Tech. It is closely embedded with both our Live Tracking and Post Game Solution Team, Operations, Engineering and Solution Ownership to ensure baseball data products are reliable, scalable, observable and operationally usable before they are deployed into production.
The role owns the technical path from validated software release to production deployment, including release testing, deployment execution, reprocessing workflows, monitoring dashboards, incident escalation, operational documentation and training. It is not removed from Live Operations. The quality of post-game outputs is directly influenced by what happens during live capture, live delivery, system health and operational workflows. This role must therefore stay deeply connected to operators, live issue patterns, data-quality trends and customer delivery requirements.
Responsibilities
Production Deployment & Release Readiness
  • Own production deployments for Baseball post-game data systems and related cloud/on-prem components.
  • Test, validate and approve releases before deployment into production environments.
  • Maintain staging and production environments, including configuration, release documentation and deployment processes.
  • Act as a production-readiness gatekeeper, escalating or blocking releases that are not supportable, scalable or safe to deploy.
Baseball Data Products & Reprocessing
  • Serve as a Tech subject matter expert for Baseball data products across backend, frontend, cloud and operational workflows.
  • Own data reprocessing workflows, including technical execution, quality validation and delivery of reprocessed feeds to customers.
  • Maintain data feeds, feed specifications, validation processes and sample data generation for internal and external stakeholders.
  • Build scripts, tools and automation to improve reprocessing reliability, reduce manual effort and scale delivery.
Live Operations Alignment & Data Quality
  • Stay closely aligned with Live Operations to understand how live capture, on-prem systems, cloud delivery and operational workflows impact post-game data quality.
  • Participate in live game incident escalation where system health, data delivery or post-game outputs may be affected.
  • Investigate data-quality issues across live and post-game workflows, identifying root causes with Operations, Solution Owners and Engineering.
  • Translate recurring operational issues into improvements in tooling, monitoring, automation, documentation or deployment processes.
Monitoring, Observability & Reporting
  • Own monitoring dashboards for Baseball post-game systems, live delivery touchpoints and operational data-quality workflows.
  • Build and maintain Datadog, AWS and other observability dashboards for Live Operations, Tech leadership and executive reporting.
  • Monitor data pipelines, product health, reprocessing systems, queues, cloud services and production environments.
  • Create alerts and reporting views that provide visibility of system health, data quality, customer delivery risk and incident trends.
Incident Support & Third-Line Troubleshooting
  • Provide advanced troubleshooting and third-line support for Baseball data products, rollouts, live delivery touchpoints and production incidents.
  • Manage and troubleshoot components such as RabbitMQ queues, Keycloak/client credentials, APIs, databases, cloud services and deployment environments.
  • Investigate production issues across cloud and on-prem systems, escalating to Engineering or DevOps where required.
  • Contribute to root-cause analysis and post-incident reviews, ensuring learnings are converted into improved tooling, monitoring, documentation or process changes.
Tooling, Automation & Operational Improvement
  • Build scripts, tools and dashboards to analyse product performance, data quality and operational reliability.
  • Automate repeatable operational processes across reprocessing, validation, deployments, monitoring and reporting.
  • Identify manual workflows that limit Baseball's ability to scale and work with Tech leadership to improve them.
  • Contribute technical input to Tech forecasting and budget planning, particularly around cloud usage, tooling, infrastructure and support requirements.
Documentation, Training & Operational Handover
  • Own operational documentation and training materials for Baseball post-game systems and related Tech workflows.
  • Maintain runbooks, deployment guides, rollback procedures, troubleshooting guides, monitoring guides and reprocessing documentation.
  • Train Operations and Tech users on new features, workflows, dashboards and production support processes.
  • Ensure new releases are handed over with clear operational guidance, known risks, escalation routes and support expectations.

Essential Qualifications & Skills
  • 3+ years' experience in technical operations, product engineering, DevOps, platform support, data operations or a similar role.
  • Experience supporting production systems in a cloud, data-platform or software-hardware environment.
  • Strong understanding of AWS services, data pipelines, APIs, databases and monitoring tools.
  • Experience with observability and monitoring platforms such as Datadog, AWS CloudWatch or similar.
  • Experience with SQL, scripting and automation for operational tooling, data analysis or workflow improvement.
  • Familiarity with message queues, authentication/credential management and production environment support.
  • Ability to troubleshoot complex technical issues across backend systems, frontend workflows, cloud infrastructure and operational processes.
  • Strong communication skills, with the ability to work across Engineering, Operations, Product, Solution Owners and customer-facing teams.
  • Ability to translate operational pain points into scalable technical improvements.
  • Comfortable working in high-pressure live service environments where production incidents can affect customer delivery.

Desirable Qualifications & Skills
  • Experience in sports technology, broadcast, live event operations or real-time data delivery.
  • Experience with Baseball tracking, biomechanics, post-game data workflows or customer data feeds.
  • Familiarity with Hawk-Eye, KinaTrax or similar tracking/data platforms.
  • Experience with RabbitMQ, Keycloak, Postman, ECS, SQS/SNS, DynamoDB, S3, Lambda, Route53, CloudWatch or similar technologies.
  • Experience building executive dashboards, operational health dashboards or service-management reporting.
  • Experience supporting MLB, MiLB, NCAA or international baseball environments.
  • Experience contributing to release governance, incident management, RCA and change-management processes.

Success Measures
  • Production releases are deployed safely, with minimal rollback, rework or operational disruption.
  • Post-game data products are reliable, observable and supportable in production.
  • Reprocessing workflows are delivered accurately, on time and with clear customer-facing outputs.
  • Live Operations has clear dashboards, documentation and escalation routes for data-quality and system-health issues.
  • Data-quality issues are proactively identified, investigated and reduced over time.
  • Monitoring dashboards provide useful visibility for both operators and senior leadership.
  • Manual deployment, reprocessing and validation steps decrease over time through automation.
  • Operations and Solution Owners provide positive feedback on Tech responsiveness, technical quality and production readiness.
  • Incidents result in clear root-cause analysis and measurable process or tooling improvements.

Key Interactions & Stakeholders
  • Tech Director - Baseball - direct reporting line; aligns on deployment standards, release governance, service management, tooling, monitoring, budget inputs and Tech priorities.
  • Post Game Solution Owner - aligns on product requirements, roadmap priorities, acceptance criteria, customer expectations and release readiness.
  • Operations Director / Operations Managers - ensures production systems, workflows, dashboards and training meet the needs of live delivery teams.
  • Live Operations Teams - gathers operational feedback, supports escalations, understands real-world delivery issues and translates them into technical improvements.
  • Engineering / DevOps / Development Teams - coordinates issue resolution, deployment planning, technical fixes, environment management and production support.
  • Service Management - supports incident escalation, RCA, change management, release governance and problem management.
  • Account Management / Commercial - supports customer-impacting data issues, reprocessing delivery questions and technical explanations where required.
  • Programme Management - contributes to rollout planning, cross-functional dependencies, risk tracking and strategic Baseball initiatives.

What This Role Is Not
  • Not the Post Game Solution Owner: Does not own product vision, customer roadmap, prioritisation or commercial solution direction. It owns the Tech execution, deployment, monitoring and production-readiness layer.
  • Not the Tech Director: Does not own the full Tech strategy, budget or department structure, but contributes to forecasting, tooling needs and operational planning.
  • Not an Operations Manager: Does not own staffing, scheduling or day-to-day game operations, but must remain tightly connected to live delivery and incident escalation.
  • Not a Software Engineer: Does not own core product development, but does build scripts, tools, dashboards and automation to support production operations.
  • Not a detached support role: This role must stay close to live delivery, operator workflows, customer-impacting issues and data-quality outcomes.
  • Not only a post-game role: While aligned to the Post Game Solution Team, the role must understand and support live cloud and on-prem delivery because post-game quality depends on live system performance