Seasonal Baseball Analytics Associate

ilitch

Detroit (MI)

On-site

USD 60,000 - 90,000

Full time

14 days+
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Job summary

Detroit Tigers, Inc. is seeking an Associate, Baseball Analytics (Seasonal) to support the Baseball Operations group with data infrastructure, statistical analysis, and modeling that shapes on-field decision-making.

This hands-on role involves cleaning data, building queries and tools, and providing support during the Rule 4 Draft and trade deadline. You will work with a team that values rigorous analysis and independent thinking, perform data prep and analyses, and contribute to developing data

Qualifications

  • Experience with statistical analysis and modeling.
  • Knowledge of baseball data and sabermetrics.
  • Ability to clean and structure large datasets.
  • Experience with database queries and SQL-based tooling.

Responsibilities

  • Support Analytics staff in research and analysis to improve on-field performance and identify insights.
  • Aid in statistical analysis and modeling of baseball-related data.
  • Assist in creating, testing, and maintaining data collection systems and tools.
  • Design and implement custom database queries for data retrieval.
  • Attend Baseball Analytics meetings to understand procedures.
  • Review publicly available baseball research for insights.
  • Provide support during major events like the Rule 4 Draft and trade deadline.
  • Handle ad hoc data requests from Baseball Operations.

Skills

R/Python
SQL
Sabermetrics
Data visualization
Communication
Detail-oriented

Job description

Detroit Tigers, Inc. is seeking an Associate, Baseball Analytics (Seasonal) to support the Baseball Operations group with data infrastructure, statistical analysis, and modeling that shapes on-field decision-making.

This hands-on role involves cleaning data, building queries and tools, and providing support during the Rule 4 Draft and trade deadline. You will work with a team that values rigorous analysis and independent thinking, perform data prep and analyses, and contribute to developing data

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