2

Entry Level Baseball Analytics Internships Jobs (NOW HIRING)

Entry-Level Engineer

Toledo, OH · On-site

$27.58/hr

... cause analysis, and continuous improvement. Key Responsibilities • Investigate and resolve ... systems • Internship, co-op, or early-career engineering experience preferred • Strong ...

Be Seen First

... Analysis, Project Management and Economics. Financial based Internships or Financial related ... They are entry level contract/temp-to-perm positions which could potentially evolve into fulltime ...

next page

Showing results 1-20

Entry Level Baseball Analytics Internships information

See salary details

$22K

$45K

$65K

How much do entry level baseball analytics internships jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level baseball analytics internships in the United States is $45,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $50,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks can an Entry Level Baseball Analytics Intern expect to work on during their internship?

As an Entry Level Baseball Analytics Intern, you can expect to work on a variety of projects that support both player development and game strategy. Typical tasks include collecting and cleaning performance data, creating visualizations, and running statistical analyses using tools such as R or Python. You'll often collaborate closely with coaching staff and analysts to provide insights that inform scouting reports and in-game decisions. The work environment is usually fast-paced and team-oriented, offering opportunities to learn from experienced professionals and gain exposure to cutting-edge baseball analytics techniques.

What are entry level baseball analytics internships?

Entry level baseball analytics internships are positions typically offered by professional baseball teams or organizations for individuals interested in data analysis, statistics, and baseball operations. Interns work alongside analysts and coaches to collect, process, and interpret baseball data to support decision-making processes. These roles often involve using statistical software, scouting reports, and performance tracking technologies. The internships provide hands-on experience and exposure to the analytics side of the sport, serving as a stepping stone for future careers in sports analytics or front office positions.

What are the key skills and qualifications needed to thrive as an Entry Level Baseball Analytics Intern, and why are they important?

To thrive as an Entry Level Baseball Analytics Intern, you need a solid background in statistics, data analysis, and a general understanding of baseball, often supported by coursework in math, statistics, or computer science. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Strong attention to detail, effective communication, and a proactive learning attitude are vital soft skills for excelling in this role. These skills and qualities are essential for producing accurate insights, collaborating with team staff, and contributing to data-driven decision-making in a fast-paced sports environment.
More about Entry Level Baseball Analytics Internships jobs
What cities are hiring for Entry Level Baseball Analytics Internships jobs? Cities with the most Entry Level Baseball Analytics Internships job openings:
What are the most commonly searched types of Baseball Analytics Internships jobs? The most popular types of Baseball Analytics Internships jobs are:
What states have the most Entry Level Baseball Analytics Internships jobs? States with the most job openings for Entry Level Baseball Analytics Internships jobs include:
What job categories do people searching Entry Level Baseball Analytics Internships jobs look for? The top searched job categories for Entry Level Baseball Analytics Internships jobs are:
Infographic showing various Entry Level Baseball Analytics Internships job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution, with an average salary of $45,046 per year, or $21.7 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

Formica Corporation

Cincinnati, OH

Full-time

Posted 12 days ago


Job description

We are seeking a curious, motivated, earlycareer Business Intelligence Analyst to join our growing analytics team. This role is ideal for candidates with strong academic or internship experience in data analytics, business analytics, or related fields who are excited to apply and expand their skills in real-world problem solving. While fluent in all things related to data analytics, the candidate should have a desire to understand business or operations workflows and fundamentals.

The ideal candidate brings strong academic or internship experience in business analytics, enjoys problem solving, and is eager to learn tools such as Qlik Sense and Alteryx.  They should also have a foundation in analytics concepts, an eye for detail, and a desire to understand new technologies and business processes. This role will directly support ongoing improvements to our analytics environment, including data modeling, dashboard development, and enabling self-service analytics for end users in multiple departments, with a specific focus on Operations.

Key Responsibilities

Business Intelligence Development

  • Build, maintain, and enhance dashboards and visualizations in Qlik (prior Qlik experience not required).
  • Develop repeatable data preparation workflows in Alteryx to support reporting and analysis needs.
  • Assist with creating automated reporting solutions and data pipelines.
  • Validate data logic, calculations, and visualizations for consistency and accuracy.

Data Analysis & Problem Solving

  • Perform exploratory data analysis to identify patterns, anomalies, and actionable insights.
  • Perform data validation and troubleshooting analysis to understand trends, errors, or anomalies.
  • Assist with data modeling tasks, including preparing new fields, refining dimensions, and supporting fact table logic.
  • Support analytics projects by translating business questions into analytical approaches with research, data validation, and clear documentation.

Collaboration & Communication

  • Work with cross-functional teams to understand requirements, refine user needs, and deliver data-driven recommendations.
  • Present findings in a clear, concise manner to business stakeholders.
  • Contribute to team best practices related to version control, visualization standards, and workflow management.
  • Respond to ad-hoc data and reporting requests, helping stakeholders find answers through self-service tools where possible.

Quality, Accuracy & Continuous Improvement

  • Contribute to larger BI initiatives such as data warehouse updates, dashboard redesigns, or analytics process improvements.
  • Support iterative development cycles by gathering user feedback, testing solutions, and documenting changes.
  • Proactively suggest enhancements to reports, workflows, or data structures.

 

Qualifications

Required

  • Bachelor’s degree in Business Analytics, Data Analytics, Information Systems, Statistics, or related field.
  • Academic or internship experience with data analysis, business analytics, or BI coursework.
  • Exposure to at least one visualization tool (Qlik Sense, Tableau, Power BI, Looker, etc.).
  • Familiarity with data modeling concepts (dimensions, facts, star schemas).
  • Strong analytical mindset, curiosity, and willingness to learn new tools and methods to break down ambiguous problems.
  • Foundational understanding of data modeling, structured problem solving, and analytics concepts.
  • Ability to communicate clearly with both technical and nontechnical users.

Preferred

  • Master’s degree or coursework in Business Analytics and/or major minor in Operations Management .
  • Previous BI or analytics internship or entry-level work experience.
  • Exposure to Manufacturing Operations
  • Understanding of best practices for data visualization, UX for dashboards, and data storytelling.
  • Experience working with data preparation tools (e.g., Alteryx, KNIME, SSIS).
  • Basic experience with SQL, Python, R, or another scripting/query language (coursework or project-based experience accepted).

 

Key Competencies

  • Analytical and critical thinking
  • Strong attention to detail and data accuracy
  • Ability to learn new tools and frameworks quickly
  • Problem-solving mindset and ability to break down complex issues
  • Professional curiosity and effective communication
  • Collaborative mindset and service-oriented approach
  • Comfort working with multiple stakeholders and shifting priorities