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Freelance Baseball Data Analytics Jobs in Utah (NOW HIRING)

AllenComm

Senior Marketing Manager

Salt Lake City, UT · On-site

$90K - $115K/yr

... Services, freelancers, and contractors to produce on-brand assets across channels Pipeline ... Strong creative instincts and the analytical ability to translate performance data into clear ...

AllenComm

Senior Marketing Manager

Salt Lake City, UT · On-site

$90K - $115K/yr

... Services, freelancers, and contractors to produce on-brand assets across channels Pipeline ... Strong creative instincts and the analytical ability to translate performance data into clear ...

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Freelance Baseball Data Analytics information

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.

What are popular job titles related to Freelance Baseball Data Analytics jobs in Utah?

For Freelance Baseball Data Analytics jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Freelance Baseball Data Analytics jobs in Utah look for?

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Cities in Utah with the most Freelance Baseball Data Analytics job openings:

Freelance Baseball Data Analytics jobs near you

Business Intelligence (Advanced Analytics Developer)

Solomon Page

Draper, UT • On-site

$55/hr

Contractor

Medical, Dental, Retirement

Posted 13 days ago

Job description

We're seeking an Analyst, AI & Analytics for our Executive and Equity Compensation function - a curious, hands-on analytics builder with strong quantitative problem-solving skills who can transform how we produce reporting, develop insights, and support high-stakes decisions. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation, partnering directly with the Director of Executive and Equity Compensation to turn ambiguous business needs into reliable, scalable analytics products using AI. Deep compensation expertise isn't required - we're prioritizing problem-solving, technical fluency, learning agility, and a proven track record of bringing practical solutions to reality in the age of AI.
  • Pay Range :$50/hr on w2 to $55/hr on w2
Responsibilities:
  • Apply a product-centric approach to streamline, re-engineer, and automate recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows
  • Evaluate compensation frameworks using quantitative and qualitative data to pinpoint problems and recommend data-backed automated AI solutions
  • Design, build, and maintain scalable data models, dynamic dashboards, and reporting solutions for use cases such as benchmarking, scenario analysis, grant and equity reporting
  • Apply company-approved AI tools and automation to data preparation, classification, reconciliation, anomaly detection, analysis, narrative generation, and ad hoc question answering, with appropriate human review and controls
  • Develop AI-enabled workflows, assistants, or agents grounded in approved data and documentation that produce reliable, explainable, and useful outputs
  • Translate ambiguous business questions into clear problem statements, requirements, prototypes, and measurable outcomes
  • Establish data definitions, quality checks, validation controls, documentation, and monitoring to improve trust, auditability, and repeatability
  • Create executive-ready visualizations and narratives that turn complex data from Workday, Vizier, and stock administration systems into clear insights, options, and recommendations
  • Partner across People Analytics, HR Technology, Stock Administration, Payroll, Data and Engineering, Privacy, Security, and Responsible AI
  • Evaluate tools and build-versus-buy options, create reusable operating practices, and handle highly sensitive information with exceptional discretion and accuracy
Required Qualifications:
  • 3-5 years of relevant experience in data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field
  • Bachelor's degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience
  • Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, and reporting; automate workflows; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable
  • Proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement
  • Strong proficiency in advanced Excel or Google Sheets strongly preferred; proficiency in SQL, Python, R, or another scripting/automation language is a plus but not required
  • Experience building data models, working with large and complex datasets, implementing validation and reconciliation controls, and creating dashboards in Power BI or a comparable platform
Preferred:
  • Experience in executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain
  • Business Systems Analyst experience with Workday or another HRIS, equity administration platforms
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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