Baseball Analytics Associate - Data & Integration

New York Mets; New York (NY); On-site; USD 30,000 - 34,000; Full time

Job summary

The New York Mets seek an Associate Analyst to join Baseball Analytics: Integration. You will translate questions from Baseball Operations into research and analytical approaches, retrieve and clean data from internal databases and public sources, and conduct timely analyses on fast-moving projects.

You should have a bachelor’s degree in a quantitative field and experience with R or Python and SQL, strong analytical and communication skills, and the ability to manage competing priorities to meet

Qualifications

• Bachelor’s degree in a quantitative field or equivalent experience.
• Experience using R, Python, or similar analytical language.
• Proficiency in SQL: joining, filtering, aggregating, and validating data.
• Strong analytical and problem-solving skills.
• Attention to detail and ability to manage priorities and deadlines.
• Strong verbal and written communication skills.

Responsibilities

• Translate questions from Baseball Operations into clear research and analytical approaches.
• Retrieve, combine, clean, and validate data from internal databases and relevant public sources.
• Conduct timely research and analysis across multiple concurrent, short-term projects, using statistical methods or modeling when appropriate.
• Communicate findings through concise, easy-to-understand reports, visualizations, and messages.
• Collaborate with Data Engineering and Systems teams to turn analytical work into reliable, accessible data and tools for use across Baseball Operations.
• Maintain clear, reproducible code and documentation, and develop reusable processes for recurring analytical needs.

Skills

R

Python

SQL

Analytical thinking

Attention to detail

Communication skills

Education

Bachelor’s degree in a quantitative field

Job description

The New York Mets seek an Associate Analyst to join Baseball Analytics: Integration. You will translate questions from Baseball Operations into research and analytical approaches, retrieve and clean data from internal databases and public sources, and conduct timely analyses on fast-moving projects.

You should have a bachelor’s degree in a quantitative field and experience with R or Python and SQL, strong analytical and communication skills, and the ability to manage competing priorities to meet