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Freelance Baseball Data Analytics Jobs (NOW HIRING)

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Information Technology - Baseball Data amp; Development FLSA Status: Full-Time, Salary Exempt Date ... Monitor and troubleshoot existing data systems to ensure reliability for departmental analysts.

Cincinnati Reds

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Information Technology - Baseball Data & Development FLSA Status: Full-Time, Salary Exempt Date ... Monitor and troubleshoot existing data systems to ensure reliability for departmental analysts.

Solomon Page

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Required Qualifications: * 3+ years of experience in Data Analytics, Business Intelligence, or a ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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Freelance Baseball Data Analytics information

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How much do freelance baseball data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for freelance baseball data analytics in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance baseball data analytics?

Freelance baseball data analytics involves independently analyzing baseball statistics and performance data to provide insights for teams, players, organizations, or media outlets. Freelancers in this field use statistical tools, data visualization, and programming languages like Python or R to interpret performance trends, player value, and game strategies. They often work on a contract basis, offering specialized skills in data modeling, predictive analytics, and reporting. This role can involve creating custom reports, developing new metrics, or consulting on player acquisitions and game tactics. Freelance analysts must stay current with baseball analytics trends and possess strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a freelance baseball data analyst?

To thrive as a Freelance Baseball Data Analyst, you need strong statistical analysis skills, deep baseball knowledge, and experience with data science or quantitative research, typically supported by a relevant degree or portfolio. Proficiency with tools such as R, Python, SQL, and baseball-specific databases like Statcast is essential. Strong communication, attention to detail, and self-motivation are crucial soft skills for interpreting data and presenting insights to clients or teams. These skills enable accurate analysis, actionable recommendations, and effective collaboration in a competitive and data-driven sports environment.

What are some common challenges freelance baseball data analysts face when working with clients and teams?

Freelance baseball data analysts often encounter challenges related to data access, communication, and aligning with client expectations. Since teams and organizations may have proprietary databases or specific formats, analysts must adapt quickly to different data environments. Additionally, translating complex statistical findings into actionable insights for coaches or non-technical stakeholders can require strong communication skills. Managing multiple projects with varying timelines and ensuring data privacy are also important aspects of the freelance workflow.

What is the difference between Freelance Baseball Data Analytics vs Baseball Data Analyst?

AspectFreelance Baseball Data AnalyticsBaseball Data Analyst
CredentialsOften self-taught or with specialized coursesBachelor's or higher in data science, statistics, or related fields
Work EnvironmentRemote, project-based, flexible hoursFull-time or part-time, often in sports organizations or analytics firms
Employer & Industry UsageFreelance clients, sports startups, independent projectsMajor league teams, sports organizations, analytics companies

Freelance Baseball Data Analytics involves independent, project-based work with flexible hours, often requiring self-directed learning. In contrast, Baseball Data Analysts typically work full-time within organizations, utilizing formal education and structured environments. Both roles focus on analyzing baseball data, but their work settings and employment types differ significantly.

How much do freelance baseball data analysts make?

Freelance baseball data analysts typically earn between $20 and $100 per hour, depending on experience, expertise, and project complexity. Rates can vary based on the level of data analysis required, the analyst's familiarity with tools like SQL or R, and the scope of the contract.

How to get a freelance baseball data analytics job?

To get a freelance baseball data analytics job, develop strong skills in data analysis, statistics, and baseball metrics, and gain experience with tools like Excel, SQL, or Python. Build a portfolio showcasing your work, network with industry professionals, and look for freelance platforms or job boards that list analytics projects related to sports data.
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Freelance Baseball Data Analytics jobs near you
Infographic showing various Freelance Baseball Data Analytics job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 38% Part Time, 6% Temporary, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Engineer

Cincinnati Reds

Cincinnati, OH • On-site

$111K - $134K/yr

Full-time

Posted 9 days ago

Cincinnati Reds rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Job Description: Data Engineer
Department: Information Technology – Baseball Data amp; Development
FLSA Status: Full-Time, Salary Exempt
Date Created: 10/01/2022
Date Reviewed: 08/13/2026
Job Summary:
The Data Engineer will work closely with the Data team and the Baseball Systems team to maintain, enhance, and extend the Cincinnati Reds data pipelines. You will be responsible for collecting and transforming data from various sources as well as preparing and distributing data for consumption by the department’s systems and analysts. The ideal candidate is an experienced data pipeline builder who excels at automating and optimizing data systems, with a strong preference for cloud experience.
Requirements
Category
Details
Education
  • Bachelor degree or equivalent experience in a computational science or technical field
Experience
  • 2+ years professional experience
Skills
  • Proficiency in SQL, query optimization, indexing strategies
  • Strong Python for data processing (PySpark)
  • Familiarity with DevOps practices, Git integrations, CI/CD (Azure DevOps)
  • Experience with cloud-native tools and technologies (Azure, GCP, AWS)
  • Building, optimizing, and maintaining ETL/ELT pipelines
  • Basic infrastructure-as-code (Terraform, CloudFormation)
  • Understanding of real-time data processing (Kafka, Kinesis)
  • Experience with workflow orchestration tools (Apache Airflow, Dagster, Prefect)
Other
  • Spoken and written fluency in English.
  • Ability to travel within the United States, preferred, as directed
  • Willing to relocate. This position is based in Cincinnati, OH
Primary Duties amp; Responsibilities
Duty
Description
Pipeline Development – 40%
  • Build, optimize, and maintain ETL/ELT pipelines using Python and SQL to collect and transform data from various sources.
Data Optimization – 20%
  • Write efficient SQL queries, implement indexing strategies, and perform performance tuning to ensure fast data retrieval.
Cloud amp; Workflow Management – 15%
  • Utilize cloud-based data tools and workflow orchestration systems (e.g., Airflow) to automate data distribution.
System Management – 15%
  • Monitor and troubleshoot existing data systems to ensure reliability for departmental analysts.
Collaboration amp; Process – 5%
  • Participate in code reviews and proactively improve workflows to support team knowledge sharing.
Other – 5%
  • Other duties as assigned.
Reports To: Senior Manager, Data Engineer
Next Role to Develop Toward: Senior Data Engineer
  • Development Requirements:
    • Owns small to mid-sized projects with minimal oversight.
    • Proactively improves processes and optimizes workflows.
    • Contributes to code reviews and knowledge sharing.
Physical Requirements:
  • Ability to stand and walk for extended periods throughout the day.
  • Comfortable working in varying conditions with moderate noise level (confined spaces like office/cubicles).
  • Ability to handle repetitive tasks.
  • Sufficient hand-eye coordination and manual dexterity for tasks like computer work, note-taking, etc.
  • Ability to available for long shifts and to work long and variable hours, including weekends and holidays.
Expectations:
  • Adhere to Cincinnati Reds Organization Policies and Procedures.
  • Act as a role model within and outside the Cincinnati Reds Organization.
  • Perform duties as workload necessitates.
  • Demonstrate flexible and efficient time management and ability to prioritize workload.
  • Meet department productivity standards.
  • Willingness to learn. Open to new methodologies

Equal Opportunity Statement:
The Cincinnati Reds are an Equal Opportunity Employer. It is the policy of the Cincinnati Reds to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, national origin, religion or creed, sex, age, disability, citizenship status, marital status, genetic predisposition or carrier status, sexual orientation or any other characteristic protected by law.

Disclaimer:
The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The above description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Additional duties, as assigned, may become part of the job function. The duties listed above are, therefore, a partial representation not intended to be an exhaustive list of all responsibilities, duties, and skills required of a person in this position.

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