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New York Mets

Associate Hitting Analyst, Baseball Analytics

  • Seen live on New York Mets' site yesterday
  • Mid level
Pay
$22 to $25 an hour USD
Location
Citi Field – Queens, New York
Open for
17+ days
First seen
Oct 18, 2026
Apply on New York Mets' site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. New York Mets' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking New York Mets, so its true age is longer.

Last checked Nov 3, 2026.

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What the posting discloses

Pay
$22 to $25 an hour USD
Pay Range: $22.00 - $25.00/hour (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

Job Description

Summary

The Associate Hitting Analyst will develop high-impact analytical tools and systems that advance hitting evaluation and drive optimization and improvement strategies across internal player development and external player acquisition. This individual will lead research, monitor performance trends, and collaborate across departments to uncover actionable opportunities that deepen organizational hitting knowledge and strengthen decision-making in both the acquisition and development spaces of Baseball Operations.

Essential Duties & Responsibilities

  • Analyze new data sources and their potential to explain performance
  • Communicate research to on-field staff and Player Development leadership, translating complex concepts into clear recommendations
  • Transform internal data and model results into actionable information that enhances both in-game and player performance strategy
  • Collaborate with Biomechanics and Performance teams to analyze players’ physical capabilities
  • Systematically identify internal and external players with room for improvement
  • Work with Data Science team to understand how players’ capacity to improve impacts their value
  • Perform research that explains how players are able to express skills on the field
  • Expand the organization’s understanding of how players can improve relative to expectations

Qualifications & Requirements

  • Creativity and curiosity regarding the game of baseball
  • Statistical modeling experience. Experience in Biomechanics is a plus
  • Knowledge of baseball technology, including but not limited to KinaTrax, Blast Motion, Hawk-Eye, and force plates
  • Ability to collaborate and work within and across teams
  • Strong verbal and written communication skills
  • Demonstrated ability to manage multiple projects simultaneously and execute tasks under time constraints
  • Interest in public baseball research
  • Experience in R, Python, or similar programming languages, and proficiency in SQL
  • Must be able to work unconventional hours and travel

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets value the unique qualities individuals with various backgrounds and experiences can offer the organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

Pay Range: $22.00 - $25.00/hour

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

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