Baseball Analytics Associate

Colorado Rockies•Denver, CO

1d•Hybrid

About The Position

The Baseball Analytics Associate will provide part-time analytical, reporting, visualization, and operational support to Baseball Operations and Research & Development. This role is well suited for a current student or early-career analyst who can contribute independently to recurring reports, data validation, ad hoc research, and lightweight tools while continuing to build technical and baseball operations experience.

Requirements

Currently enrolled in or recently completed an undergraduate (Junior going into Senior year), graduate, PhD, postdoctoral, or technical program, preferably with a quantitative or technical focus.
Experience with SQL and R or Python.
General cloud experience, AWS exposure preferred.
Experience with Git or similar version control preferred.
Ability to communicate clearly, manage time independently, and provide frequent updates in a remote or hybrid environment.
Interest in baseball analytics, player evaluation, advanced scouting, and/or game strategy.
Ability to work in the United States and maintain availability during required Mountain Time work windows.

Nice To Haves

Degree or coursework in statistics, mathematics, computer science, data science, engineering.
Experience with AWS or another cloud environment.
Experience using Git or similar version control workflows.
Experience developing web applications, dashboards, or interactive tools, including R Shiny, Python-based web apps, or similar frameworks.
Experience with machine learning, predictive modeling, simulation, computer vision, or player-tracking data.
Prior experience using AI tools to support software development, application building, analysis, or workflow automation; experience with Claude or similar tools is a plus.
Familiarity with public baseball research, baseball datasets, player evaluation concepts, scouting processes, or advanced scouting workflows.

Responsibilities

Assist in the preparation, quality review, and distribution of advance scouting reports for upcoming opponents.
Monitor daily lineups, roster moves, transactions, and other league information to support game planning and analysis.
Conduct ad hoc research to inform game strategy, including analysis of ABS-related questions and comparisons across players, teams, and game situations.
Coordinate and deliver advanced reports to Major League staff in a timely, usable format.
Assist analysts with data preparation, validation, cleaning, and quality checks for modeling and reporting workflows.
Support predictive modeling projects by preparing datasets, engineering features, checking assumptions, and validating outputs.
Conduct research related to player development, scouting, player personnel, league trends, and other Baseball Operations priorities.
Support R&D staff with highly technical analysis, model development, and exploratory research based on departmental needs and the Fellow’s skills and interests.
Develop visualizations, dashboards, lightweight tools, and other mechanisms for disseminating analytical results across Baseball Operations.
Translate complex technical findings into clear, concise, and actionable insights for both technical and non-technical stakeholders.
Provide written summaries, presentations, and recommendations that clearly describe methodology, assumptions, limitations, and practical implications.
Help maintain and QA internal datasets, reports, and recurring workflows to ensure accuracy and consistency across sources.
Provide operational support across Baseball Operations and R&D, including recurring reporting, special projects, and time-sensitive requests.
Take ownership of assigned tasks and small-to-medium projects, driving them forward with limited day-to-day supervision.
Collaborate with analysts, developers, scouts, coaches, and front office personnel to understand needs and deliver practical solutions.
Contribute to a positive, curious, and collaborative Baseball Operations environment.