Analyst %E2%80%93 Baseball Strategy at Pittsburgh Pirates
Job Description
The Pittsburgh Pirates are recruiting a Baseball Strategy Analyst, with applications considered at both Analyst and Senior Analyst level, to support their Major League coaching staff through applied performance analytics and evidence-based decision-making.
Working within the club's Baseball Strategy team, the successful candidate will translate complex information into clear, actionable recommendations that support game preparation, in-game decisions, post-game review and long-term player development.
This is an opportunity to work directly alongside Major League coaches, combining sports analytics, applied research, programming and performance decision-support within an elite professional sporting environment.
The Baseball Strategy team exists to provide Major League coaching staff with the information and analytical tools required to make effective competitive decisions.
The successful candidate will work closely with coaches, analysts, researchers and performance staff to identify where analysis can create a competitive advantage.
The role combines daily applied analysis with longer-term research and analytical tool development, ensuring that information is relevant, accessible and directly connected to the decisions coaches and players face.
- Support Major League coaching staff with daily game preparation and strategic planning.
- Provide analytical insights to inform in-game decision-making.
- Contribute to post-game performance reviews.
- Identify opportunities to improve competitive performance through evidence-based analysis.
- Balance immediate matchday requirements with longer-term analytical projects.
- Support player development through relevant performance insights.
- Translate observations from coaches, players and performance data into testable research questions.
- Identify and prioritise research projects with the greatest potential to influence decisions.
- Connect analytical findings to practical baseball strategy and performance challenges.
- Synthesise complex information into clear, actionable recommendations.
- Develop research outputs that help coaching staff understand and apply analytical evidence.
- Build, maintain and refine analytical resources for coaching and performance staff.
- Improve the accessibility and practical application of performance information.
- Use programming, databases and automation to improve analytical efficiency.
- Integrate AI and automation tools into relevant daily workflows.
- Identify opportunities to improve existing processes and decision-support systems.
- Develop strong working relationships with Major League coaches and staff.
- Understand the practical decisions faced by coaches and players.
- Collaborate with analysts, researchers and player development personnel.
- Combine different perspectives to improve analytical interpretation.
- Communicate findings clearly to both technical and non-technical audiences.
- Contribute constructively to shared projects across Baseball Operations.
Candidates must demonstrate:
- Strong knowledge of modern baseball research, analytics and technology.
- Ability to interpret complex information and produce actionable recommendations.
- Excellent communication and relationship-building skills.
- Ability to manage multiple projects and meet tight deadlines.
- Experience using programming languages for analytical work.
- Understanding of relational databases and data management.
- Familiarity with AI and automation tools relevant to sports analytics.
- Ability to work collaboratively within a fast-paced, high-performance environment.
- Legal authorisation to work in the United States.
Python or RSQLAI ToolsWorkflow AutomationApplied ResearchSports Analytics
The role requires proficiency in Python or R, alongside SQL and familiarity with AI-enabled analytical workflows.
- Previous experience supporting coaches, analysts or player development staff in a high-performance environment.
- Demonstrable research or analytical work in baseball or another sport.
- Experience with pitch design and modern pitching development methods.
- Knowledge of version control systems such as Git.
- Experience with collaborative development platforms including GitHub or GitLab.
This opportunity is particularly relevant to analysts interested in the relationship between research, performance data and coaching decisions.
Rather than focusing exclusively on data collection or reporting, the position places the analyst directly within the Major League competitive environment, where analytical findings must inform practical decisions.
The role brings together:
Coaching Questions → Applied Research → Data Analysis → Decision Support → On-Field Application
Three aspects make the position particularly interesting:
- Direct coaching integration: Working alongside Major League coaches to understand the decisions they face.
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