Senior Analyst, Baseball Research

Minnesota Twins; Minneapolis (MN); Presencial; USD 85.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Vision

Life Insurance

Long Term Disability

401(k) Plan with company match

Paid Time Off

Paid Holidays

Complimentary Tickets

Voluntary benefits

Descripción de la vacante

The Minnesota Twins are seeking a Senior Analyst to apply advanced analytics to improve evidence-based decision-making in Baseball Operations. You will lead research using player and ball-tracking data, develop and validate models, and translate findings into actionable insights for decisions across the organization.

You will mentor junior analysts, collaborate with cross-functional teams, and help build robust analytics infrastructure and pipelines to support ongoing player development and

Formación

• 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.
• Demonstrated proficiency using Python, R, SQL, or comparable programming languages to analyze data, develop models, and produce reproducible research. Python is preferred.
• Ability to interpret statistical results, translate research findings into analytical products, and design and execute original analyses using complex datasets.

Responsabilidades

• 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.
• Review other analysts' code and methodologies to promote consistent analytical practices and maintain the quality of research and production pipelines.

Conocimientos

Python

R

SQL

Data analysis

Statistical modeling

Mentoring

Educación

Graduate degree in quantitative field

Descripción del empleo

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. Python is preferred.
• Ability to interpret statistical results, translate research findings into analytical products, and design and executive original analyses using complex datasets.

Preferred Knowledge, Skills, and Abilities:

• Experience in baseball or a sports-related area.

Compensation:

The hiring range for this position is $85,000 to $95,000 annually. This role is also eligible for a performance-based bonus, which varies based on company and individual performance. Total cash compensation will depend on bonus payouts and will likely exceed base salary.

• Medical, Vision
• Life Insurance - Employer paid
• Long Term Disability - Employer paid
• 401(k) Plan - Employer match up to 4% plus 5% nonelective employer contribution
• Paid Time Off (PTO)
• Paid Holidays (17 for 2026)
• Complimentary Tickets
• Plus a variety of voluntary benefit plans available