Senior or Lead Analyst (Forecasting)

Colorado Rockies•Denver, CO

2d•$110,000 - $150,000•Onsite

About The Position

The Colorado Rockies Baseball Club is seeking a senior-level analyst to join Baseball Analytics, focusing on developing and deploying predictive models and forecasts. The role combines technical rigor, baseball curiosity, and clear communication to support better organizational decisions. The position may be filled at either the Senior Analyst or Lead Analyst level, depending on the selected candidate’s experience, demonstrated ownership, and expected scope of responsibility. The analyst will turn baseball questions into rigorous analysis, deployed predictive models, durable forecasting tools, and clear recommendations for Baseball Operations staff. The role includes building, testing, documenting, and deploying models and forecasts; communicating findings, uncertainty, and practical implications; and collaborating across Baseball Analytics, Baseball Systems, scouting, and player development. The employee will learn the Rockies’ data, models, systems, and workflows, while helping translate individual projects into repeatable systems and operational infrastructure. At the Lead Analyst level, the role also includes coordinating forecasting research, organizing research discussions, reviewing colleagues’ code, mentoring junior staff, and taking independent ownership of broader forecasting work. The position is based onsite at Coors Field in Denver, Colorado, with occasional travel to Spring Training, minor league affiliate locations, training complexes, and other organizational sites. This is a regular-status, full-time, exempt position. Annual salary is $110,000–$140,000 for Senior Analyst or $130,000–$150,000 for Lead Analyst, depending on experience and scope. The Club offers a competitive compensation and benefits package, subject to eligibility requirements and official plan terms.

Requirements

Generally at least 4 years of relevant experience; 6 or more years expected for consideration at Lead Analyst level. A closely related research-based master’s degree or PhD may count for up to 2 years.
Experience owning complex analytical projects from scoping through delivery.
Evidence that analytical work informed a decision or improved a workflow, with clear baseball-relevant or operational impact.
Strong technical judgment in model development, validation, reproducibility, and communication.
Ability to communicate priorities, uncertainty, and tradeoffs credibly to technical and nontechnical audiences.
Experience developing, validating, and deploying predictive models or forecasts in applied decision-making environments.
Strong practical ability with R or Python, SQL, reproducible workflows, and model evaluation.

Nice To Haves

For Lead Analyst consideration: evidence of leading applied analytical work across projects or stakeholders.
For Lead Analyst consideration: experience shaping project direction, reviewing others’ work, and mentoring analysts.
For Lead Analyst consideration: experience coordinating people and work to move research forward.
An advanced degree, such as a research-based master’s degree or PhD, in a topic closely related to the role may count for up to 2 years of relevant experience.
An optional portfolio, GitHub, writing sample, or project example is highly suggested for candidates without professional experience in MLB.

Responsibilities

Build, test, document, and deploy predictive models and forecasts, exercising autonomy in selecting model type, specification, and output.
Communicate findings, uncertainty, and practical implications to Baseball Analytics colleagues and front office decision-makers.
Work with the team to identify forecasting questions worth testing and make successful analyses repeatable or transferable.
Contribute to department-wide technical standards and project philosophy.
Evaluate research, data sources, technologies, and analytical methods for potential use in Baseball Operations.
Collaborate with Baseball Systems, scouting, and player development groups to meet operational needs related to Baseball Analytics.
Translate individual projects into repeatable systems, organizational best practices, and operational infrastructure.
Learn the Rockies’ data, models, systems, and baseball workflows, and learn to apply predictive models in additional Baseball Operations workflows.
Balance immediate decision support with longer-term research and infrastructure investments.
At the Lead Analyst level, coordinate forecasting research, organize research discussions, review others’ code, advance technical practices, mentor junior staff, and take independent ownership of broader forecasting work.