Baseball Analytics Associate (Seasonal)

ilitch; Detroit (MI); On-site; USD 60,000 - 90,000; Full time

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

Who We Are:

Detroit is a city that earns everything it gets, and that identity runs through this organization — how we work, how we develop, and how we compete. We’re building something here: one of the game’s most productive player development pipelines, a roster built on homegrown talent, and a culture built on getting better every single day. Our Baseball Operations department succeeds because of people who bring rigor, curiosity, and a genuine hunger to win to the work — not just on the field, but in every room where decisions get made.

Job Title: Associate, Baseball Analytics (Seasonal role)

Dept. Name & Dept. #: Major League Operations

Reports To: Director, Baseball Analytics

Seasonal Timing: Full-year starting in Winter; Full-year starting in Spring; Summer Only

Job Summary:

The Associate, Baseball Analytics is a seasonal position supporting the Baseball Operations group with the data infrastructure, statistical analysis, and modeling work that shapes on-field decision-making. This role sits close to the action — from cleaning and structuring the data sets our analysts rely on, to building the queries and tools that surface new insights, to lending support during high-stakes moments like the Rule 4 Draft and the trade deadline. It’s a hands‑on opportunity to apply statistical and programming skills to real baseball problems, working alongside a team that values rigorous analysis and independent thinking in equal measure.

Key Responsibilities:

• Support Analytics staff in conducting research and analysis to enhance on-field improvements and uncover new insights and opportunities.
• Aid in the statistical analysis and modeling of baseball-related data.
• Assist in creating, developing, testing, and maintaining specialized data collection systems and tools.
• Design and implement custom database queries tailored to meet specific data retrieval requirements.
• Attend Baseball Analytics meetings regularly to understand the department’s operational procedures.
• Regularly review and analyze publicly available baseball research.
• Provide support during major baseball events, including the Rule 4 Draft and the trade deadline.
• Address ad hoc requests from the Baseball Operations teams and undertake additional responsibilities as assigned by the staff of the Baseball Operations Department.
• Provide comprehensive support with importing, cleansing, and preparing baseball data sets for detailed analysis.

Minimum Knowledge, Skills, And Abilities:

• Practical experience with R/Python or similar software and languages for statistical analysis and visual presentation.
• Practical experience in SQL or similar languages for database queries and understanding of database design principles.
• Demonstrated knowledge of baseball‑specific data, advanced statistical methods, and sabermetric analysis.
• Highly motivated with a keen eye for detail.
• Strong verbal and written communication abilities.
• Strong organizational skills.
• Experience in software development, encompassing requirements identification, system design, coding, testing, and deployment is preferred but not required.

Working Conditions:

• Office environment, in‑person in Detroit.
• Some evening, weekend, and holiday hours are required, as dictated by the baseball season schedule.

The above is intended to describe the essential job functions, the general supplemental functions, and the essential requirements for the performance of this job. It is not to be construed as an exhaustive statement of all additional duties, responsibilities, or nonessential requirements. Detroit Tigers, Inc. has the right to change, modify, suspend, interrupt, or cancel in whole or in part any job functions outlined in a job description at any time and without advance notice to the employee.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.

Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.