1

Freelance Healthcare Data Analytics Jobs (NOW HIRING)

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by ... Promotes self-service analytics for customer adoption, understanding and use of data. Supports ...

Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience) * Working knowledge of SQL * Experience with BI tools such as Tableau, Power BI ...

$68K/yr

Overview SOSi is actively seeking qualified, professional, and experienced healthcare interpreters. Our job is to provide in person, over the phone, and video remote interpretation (VRI ...

Healthcare Data Architect

Dallas, TX

$63 - $81/hr

Knowledge of healthcare analytics, including population health and value-based care concepts ... Understanding of data integration across clinical, operational, and enterprise systems within ...

next page

Showing results 1-20

Freelance Healthcare Data Analytics information

See salary details

$153K

$178.7K

$202K

How much do freelance healthcare data analytics jobs pay per year?

As of Jun 17, 2026, the average yearly pay for freelance healthcare data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Healthcare Data Analytics professional, and why are they important?

To excel as a Freelance Healthcare Data Analytics professional, you need expertise in data analysis, statistical modeling, and a solid understanding of healthcare systems, often supported by a degree in data science, public health, or a related field. Familiarity with tools like SQL, Python, R, Tableau, and healthcare data standards such as HL7 and HIPAA compliance is essential. Strong problem-solving abilities, effective communication, and adaptability are standout soft skills for collaborating with diverse clients and translating complex findings. These skills and qualities are crucial for delivering actionable insights that improve patient outcomes and inform strategic decisions within the healthcare industry.

What are some common challenges freelance healthcare data analysts face when working with diverse healthcare organizations?

Freelance healthcare data analysts often encounter challenges such as navigating different data formats and systems across organizations, ensuring compliance with strict data privacy regulations like HIPAA, and adapting to varying levels of data quality. Each client may use unique electronic health record (EHR) platforms or reporting tools, requiring analysts to quickly learn new systems. Additionally, communicating complex data findings to non-technical healthcare professionals is essential for project success, making strong collaboration and presentation skills highly valuable.

What is the difference between Freelance Healthcare Data Analytics vs Freelance Healthcare Data Management?

AspectFreelance Healthcare Data AnalyticsFreelance Healthcare Data Management
CredentialsOften requires degrees in data science, analytics, or related fields; certifications like CAP or HCIP are commonRequires knowledge of data governance, database management, and healthcare information systems; certifications like CDMP may be beneficial
Work EnvironmentPrimarily focused on analyzing healthcare data sets, creating reports, and deriving insightsCentered on organizing, storing, and maintaining healthcare data systems and ensuring data quality
Employer & Industry UsageUsed by healthcare providers, insurers, and analytics firms to improve patient outcomes and operational efficiencyUtilized by healthcare organizations to manage data infrastructure, compliance, and data security

Freelance Healthcare Data Analytics involves analyzing healthcare data to generate insights, while Freelance Healthcare Data Management focuses on organizing and maintaining healthcare data systems. Both roles require specialized knowledge but serve different functions within the healthcare data ecosystem.

What is freelance healthcare data analytics?

Freelance healthcare data analytics involves independent professionals who analyze healthcare data for various clients, including hospitals, clinics, and health technology companies. These freelancers use statistical and analytical tools to interpret medical records, patient outcomes, billing information, and other healthcare data to help organizations improve patient care, reduce costs, and comply with regulations. Typical tasks include data cleaning, visualization, reporting, and providing insights to support decision-making. Freelancers may work remotely or on-site and often manage multiple projects for different clients.
More about Freelance Healthcare Data Analytics jobs
What are the most commonly searched types of Healthcare Data Analytics jobs? The most popular types of Healthcare Data Analytics jobs are:
What states have the most Freelance Healthcare Data Analytics jobs? States with the most job openings for Freelance Healthcare Data Analytics jobs include:
Infographic showing various Freelance Healthcare Data Analytics job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.
Sr. Healthcare Data Analyst - Epic

Sr. Healthcare Data Analyst - Epic

Scottish Rite for Children

Dallas, TX • On-site

$85K - $107K/yr

Full-time

Posted 19 days ago


Scottish Rite For Children rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

284th of 999 rated hospitals


Job description

Our patients are our number one priority! We're committed to giving children back their childhood!
Job Posting Title:
Sr. Healthcare Data Analyst - Epic
Location:
Dallas - Hospital
Additional Posting Details:
  • Mon - Fri, 8am - 5pm.
  • Hybrid, mostly remote

Job Description:
The Healthcare Data Analyst will be a key member of the Analytics Center of Excellence working closely with organizational stakeholders to define, develop, and deliver effective business intelligence and analytics solutions. The Analytics team is essential to transforming how organizational data assets are leveraged to deliver meaningful analytics insights and to enable data-driven decision making in support of the organization's clinical, operational, and financial strategy.
Duties/Responsibilities
  • Query healthcare data from multiple sources including electronic medical records, patient experience surveys, claims, and administrative systems to discover meaningful analytical insights for clinical, business, and strategic initiatives.
  • Analyze business requirements and source systems to translate these inputs into technical data specifications and workflows for the design and development of analytical solutions.
  • Design, develop, validate, and monitor reports and dashboards to track key healthcare clinical quality, operational, and financial data.
  • Design, develop, and automate clinical quality and operational performance metrics. Maintain knowledge base of data requirements and measure definitions.
  • Conduct analysis, including benchmarking and performance forecasts, to enable data informed decision making.
  • Perform advanced analytics such as statistical analysis and predictive model development to support clinical and business strategy.
  • Adhere to data management and analytics best practices to ensure timely and accurate delivery of high-quality analytics products.
  • Establish and maintain data dictionaries, metadata, data definitions, release notes, and other documentation that supports organizational data governance and change management.
  • Work closely and collaboratively with multidisciplinary project teams to provide comprehensive analytical support on organizational initiatives. Interpret, explain, and discuss data analysis results with project team. Make data informed recommendations and support strategies for improving healthcare delivery and outcomes.
  • Apply a thorough and methodical approach to analysis and presentation of data results including use of data visualizations. Structure analytical results in an organized, visual manner to tell a meaningful and actionable story. Use effective written and verbal communication skills to present analysis and results to diverse stakeholders.
  • Assess analytics project requirements by performing workflow assessments, capturing business needs, and documenting assumptions, risk, issues, definitions to develop a thorough project plan with realistic goals and timelines.
  • Evaluate data needs of assigned projects, assure data integrity and suitability, and determine data collection methods, metrics definitions and evaluation methods.
  • Prepares and deliver business communications, including meeting agendas, presentations, business reports and project communications plans to effectively meet stakeholder needs and expectations.
  • Coaches and develops other team members, acting as a resource of knowledge and guidance. May supervise and ensure the quality of work performed by others.

Required Skills/Abilities
  • Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required.
  • Master's Degree or higher in a healthcare analytics, computer science, data science, or quantitative based discipline such as economics, epidemiology, statistics, public health, or health services research preferred.
  • 5+ years of relevant healthcare industry experience working in analytics, reporting, business intelligence, or data management role required.
  • 5+ years of experience in data management, data visualization, and analytics using tools such as MS SQL, SSRS, Power BI, Tableau, SAS, or R required.
  • Working knowledge of relational database and data warehouse concepts required.
  • Epic or Workday knowledge required.
  • Working knowledge of MS Office Applications required.
  • Technical project management experience preferred.

#P2