{"id":1730966,"url":"https://alion.io/job/mlb-associate-analyst-baseball-analytics-integration","title":"Associate Analyst, Baseball Analytics: Integration","company":{"id":678408,"name":"MLB","domain":"mlb.com","url":"https://alion.io/company/mlb-5","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":22,"max":25,"currency":"USD","period":"hour","gross":null,"usd_annual":50000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-06T03:08:49Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description:\nSummary:\nThe New York Mets are seeking an Associate Analyst to join the Baseball Analytics: Integration team. In this role, you will help Baseball Operations answer the wide range of questions that arise throughout the year, taking on fast-moving projects that touch many areas of the organization. This is an opportunity to apply quantitative skills to meaningful baseball decisions, gain broad exposure to how a Major League organization operates, and work closely with colleagues across a variety of functions.\nEssential Duties & Responsibilities:\nTranslate questions from across Baseball Operations into clear research and analytical approaches\nRetrieve, combine, clean, and validate data from internal databases and relevant public sources\nConduct timely research and analysis across multiple concurrent, short-term projects, using statistical methods or modeling when appropriate\nCommunicate findings through concise, easy-to-understand reports, visualizations, and messages\nCollaborate with Data Engineering and Systems teams to turn analytical work into reliable, accessible data and tools for use across Baseball Operations\nMaintain clear, reproducible code and documentation, and develop reusable processes for recurring analytical needs\nQualifications:\nBachelor’s degree in a quantitative field, or equivalent experience\nExperience using R, Python, or a similar analytical programming language\nProficiency in SQL, including joining, filtering, aggregating, and validating data\nStrong analytical and problem-solving skills\nAttention to detail, particularly when reviewing data and analytical outputs\nAbility to organize work, manage competing priorities, and meet deadlines\nStrong verbal and written communication skills\nThe 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.\nThe 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.\nPay Range: $22.00 - $25.00/hour\nFor technical reasons, we strongly advise to not use an .edu email address when applying. 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