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Senior Analyst, Baseball Research

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Minnesota Twins
Full Time position
Listed on 2026-10-22
Job specializations:
  • Research/Development
    Data Scientist, Research Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 95000 USD Yearly USD 85000.00 95000.00 YEAR
Job Description & How to Apply Below

At the Minnesota Twins, we are driven by a singular purpose - to up the game, on the field and off. Unwavering in our commitment to deliver championships and be a force for good, our innovative, diverse and incredibly talented team is creating new ways to win, to uplift and to unite. We are proud to be Minnesota’s baseball team. We believe in our power to create positive change.

We are setting the standard for a modern sports and entertainment brand that shapes a better tomorrow for all.

Position Summary:

This position applies advanced analytical, research, and mentoring expertise to improve evidence-based decision-making across Baseball Operations. The Senior Analyst will lead rigorous research using player and ball-tracking data, strengthen analytical practices and infrastructure, translate findings into actionable insights, and support the development of other analysts through mentorship and technical guidance.

Essential Duties and Responsibilities:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Analyze ball and player tracking data to evaluate professional players and support player development, acquisition, and other Baseball Operations decisions.
    • Develop and validate models to assess batting, pitching and defensive skills.
    • Deploy models to players within and outside of the Twins organization to identify areas for improvement and targets for acquisition.
    • Evaluate new data sources and analytical methods to integrate into workflows across Baseball Operations
  • Build and maintain reusable data, testing, and reporting infrastructure that supports research across Baseball Operations.
    • Collaborate with analysts and Baseball Systems to operationalize valuable research findings, incorporate them into analytical products, and communicate the resulting insights to relevant stakeholders.
    • Compare internal and external models to identify areas for model improvement and potential blind spots.
    • Examine data pipelines for deployed models to improve their efficiency and interpretability.
    • Provide input into project decisions for developing new or improving existing analytical models and products
  • Serve as subject matter expert, mentor, and technical leader within Baseball Research.
    • Partner with analysts and Baseball Operations staff in areas such as Amateur Scouting and Player Development to translate new research into relevant, actionable knowledge
    • Provide technical insight into how the analytics pipelines function to stakeholders and assist in troubleshooting as needed.
    • Mentor and train junior analysts and fellows in analytical best practices, research design, technical execution, and clear communication of findings.
    • Review other analysts' code and methodologies to promote consistent analytical practices and maintain the quality of research and production pipelines.
    • Work with Baseball Research leadership to identify new opportunities in baseball data and assist in prioritization of research.
    • Participate in cross-functional Baseball Research teams to share context, identify connections among projects, and promote consistent access to information
    • Stay abreast of advancements in the broader Baseball R&D and Data Analytics communities
Required Experience and

Education:
  • Graduate degree in mathematics, statistics, economics, physics, or other quantitative field or equivalent professional experience applying advanced quantitative methods.
  • At least 3 years of professional experience in data analysis, statistical modeling, quantitative research, or a closely related role.
Essential Knowledge, Skills, and Abilities:
  • Demonstrated proficiency using Python, R, SQL, or comparable programming languages to analyze data, develop models, and produce reproducible research.…
Position Requirements
10+ Years work experience
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