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Full Time Baseball Data Analytics Jobs in Raleigh, NC

... data and analytic architecture and management practices. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and ...

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Full Time Baseball Data Analytics information

See Raleigh, NC salary details

$32.1K

$79.2K

$136.1K

How much do full time baseball data analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for full time baseball data analytics in Raleigh, NC is $79,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $93,800.00 per year, depending on experience, location, and employer.

What does a full time baseball data analyst do?

A full-time baseball data analyst collects, organizes, and interprets game and player data to provide insights that can improve team performance and strategy. They use statistical tools and software, such as SQL or R, and often work closely with coaching staff and management to inform decision-making.

How to get a full time baseball data analytics job?

To secure a full-time baseball data analytics position, candidates should have a strong background in statistics, programming (such as Python or R), and data visualization tools. Gaining experience through internships, building a portfolio of relevant projects, and understanding baseball metrics and game data are also important for success in this field.

What is the difference between Full Time Baseball Data Analytics vs Part Time Baseball Data Analytics?

AspectFull Time Baseball Data AnalyticsPart Time Baseball Data Analytics
Work HoursTypically 40+ hours per weekLess than 20 hours per week
Employment StatusFull-time employeePart-time or freelance
ResponsibilitiesIn-depth analysis, reporting, and long-term projectsAd-hoc analysis, support roles
CredentialsDegree in data science, statistics, or related fieldSimilar credentials, but often less extensive
Work EnvironmentTeam-based, office or remoteFlexible, often remote or freelance

Full Time Baseball Data Analytics involves a consistent, full-time commitment with comprehensive responsibilities, while Part Time Baseball Data Analytics offers flexible, shorter-term engagement with similar skill requirements. The choice depends on your career goals and availability.

How much do full time baseball data analysts make?

Full-time baseball data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of the organization. Entry-level positions may start lower, while experienced analysts working with major league teams or advanced analytics roles can earn higher salaries, often supplemented with bonuses or benefits.
Infographic showing various Full Time Baseball Data Analytics job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $79,242 per year, or $38.1 per hour.

Principal Data Engineer - Remote

UnitedHealth Group

Raleigh, NC • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 2 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

186th of 887 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Provide technical leadership for analytics engineering, owning solution design, implementation, and operationalization across enterprise analytics platforms
  • Design, build, and optimize scalable analytics pipelines using modern data platforms (e.g., Databricks)
  • Develop and govern business intelligence solutions (e.g., Power BI), including semantic models, dashboards, and executive reporting
  • Partner with product, engineering, and business stakeholders to define metrics and enable data driven decision making
  • Apply advanced analytics and AI enabled insights to surface trends, risks, and opportunities
  • Ensure data quality, lineage, security, and governance across analytics assets
  • Optimize performance through efficient data modeling, query tuning, and pipeline optimization
  • Collaborate within global delivery models and provide technical guidance to analytics engineers
  • Participate in analytics platform partner sessions and workshops to stay aligned with platform capabilities and best practices


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
 

Required Qualifications:

       10 years of experience in Data Engineering, Analytics Engineering, Data Architecture, Software Engineering, or related disciplines.

       5 years of cloud experience (Azure, GCP, AWS, or similar platforms).

       Strong hands-on experience with Databricks or similar tools, using Python and/or PySpark and SQL to build scalable applications and solutions.

       Experience delivering AI-driven data solutions.

       Experience working within enterprise environments with a strong focus on scalability, reliability, security, and governance.

       Proven track record of leading large-scale technical initiatives, collaborating effectively with business and technology stakeholders, influencing architecture decisions across multiple teams, and driving enterprise-wide engineering best practices.


Preferred Qualifications:

       Healthcare industry experience  with healthcare interoperability standards such as FHIR, HL7, or related healthcare data models.

       Experience building cloud-native applications, APIs, or data products or supporting solutions using visualization tools like Power BI, Tableau or similar tools .

       Experience working with Databricks Lakehouse architecture and distributed data processing platforms.

       Excellent communication, problem-solving, and leadership skills.

       Demonstrated experience working in global delivery models with effective onshore-offshore collaboration.


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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