Analyst, International Baseball Strategy & Information

Houston Astros

$80K — $95K *
Media
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.A. or B.S. in mathematics, economics, statistics, computer science, data science, or a related quantitative-field.
  • 0-3 years of experience with strong quantitative/statistics/data science training.
  • Proficient in writing production-quality SQL and Python or R.
  • Interest in baseball and understanding of international signing dynamics.
  • Comfortable with uncertainty and technical ambiguity.

Responsibilities

  • Audit and verify all international scouting data sources for quality and accuracy.
  • Develop validation checks for data integrity using internal tools.
  • Identify and evaluate gaps in data, exploring new vendors or public sources.
  • Create tools for non-technical stakeholders to explore historical data trends.
  • Contribute to valuation and projection models for international players after ensuring data trustworthiness.
  • Write code daily for data analysis and management using SQL and Python/R.
  • Interacting with various stakeholders to translate ambiguous baseball questions into actionable data analysis.

Benefits

  • Work with a dynamic team at a leading sports organization.
  • Opportunity to contribute to innovative scouting strategies.
  • Develop skills in advanced data analysis and modeling.
  • Exposure to the international baseball market and its dynamics.
  • Position offers professional growth in the field of data science and sports operations.
Full Job Description
Title: Analyst, International Baseball Strategy & Information

Department: Baseball Strategy & Information

Status: Full-Time/Non-Union

Pay Rate: $80,000 - $95,000

FLSA: Non-Exempt

Reports to: Director, Baseball Strategy and Information

Location: Los Angeles, California

Posting Date: September 15, 2026

Job Summary

The Baseball Strategy and Information team of the Los Angeles Dodgers is responsible for supporting Major League Coaches, Baseball Operations Leadership, and multiple other key stakeholders with data and information needed for strategic decision making.

As an Analyst, you will take on a brand-new role focused on advancing the statistical rigor we bring to international scouting. This is an early-career role for someone who can help us audit, consolidate, and validate data, and can help build real infrastructure, not just run existing reports. The best candidates will be able to bring expertise that allows them to contribute across Baseball Operations.

Essential Duties/Responsibilities:

Phase 1: Data Audit & Quality

  • Inventory every international scouting data source we currently purchase or have access to verify what's being ingested, where it lives, whether it's accurate, and how it's being used
  • Build data quality and validation checks so we have confidence in what we're looking at, and leverage existing internal tools for this.
  • Identify gaps - data we don't have but should, including evaluating new vendors or scraping/collecting publicly available sources


Phase 2: Exploratory Tools

  • Build tools that let scouts, coordinators, and analysts explore historical trends by combinations of country, league, position, age, and signing bonus
  • Make this data self-serve for non-technical stakeholders, not locked in a notebook only you can run


Phase 3: Valuation & Projection

  • Once the underlying data is trustworthy and well-understood, contribute to building broader valuation and projection models for international players. This includes but isn't limited to advancing our understanding league translations, bonus pool allocation strategies, and leveraging biomechanical data into our evaluations and projections.


Day-to-Day

  • Write code daily - SQL for data work, Python/R for analysis, some blend of manual coding and AI-assisted development
  • Work closely with international scouts, analysts, and data engineering/IT
  • Translate ambiguous baseball questions ("what's the track record of X archetype") into data pipelines and analysis
  • Present findings to non-technical stakeholders (scouts, coordinators) in usable form


Supervisory Responsibilities

  • This role will have no supervisory responsibilities


Basic Requirements/Qualifications:

Education

  • B.A. or B.S. in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative-field.


Work Experience

  • 0-3 years of experience with strong quantitative/statistics/data science training


Knowledge, Skills & Abilities

  • Comfortable writing production-quality SQL and Python or R; experience with data pipelines, ETL, or dbt-style workflows a strong plus
  • Genuine interest in baseball and international markets - you don't need scouting/evaluation ability, but you should understand signing dynamics, international free agency rules, and the leagues/markets involved
  • Comfortable with ambiguity - this role starts with "we don't fully know what we have," not a clean spec
  • Able to communicate technical findings and recommendations to non-technical baseball people
  • Ability to relocate to Los Angeles and commute to Dodger Stadium
  • Ability to work a varied schedule including evenings, weekends, and holidays.
  • Nice to have: fluency in Spanish or Japanese; prior work with geographically distributed / multi-source data; experience with cloud data infra (AWS S3/RDS/Lambda) or BI/dashboard tools.


Current Los Angeles Dodgers employees should apply via the internal job board in UltiPro by following these prompts:

MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW

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