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Telecommute Health Informatics Analyst Jobs (NOW HIRING)

Clinical Informatics Analyst Richmond, VA 9+ Months IN PERSON IVS (No Exceptions!) 4 days/week ON ... The proper candidate will have experience in a recognized Electronic Health Record system. Our ...

About Cleerly We're Cleerly - a healthcare company that's revolutionizing how heart disease is ... About the Opportunity We have a current opening for an Informatics Analyst in our Scientific ...

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Telecommute Health Informatics Analyst information

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$42.5K

$85.6K

$125K

How much do telecommute health informatics analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for telecommute health informatics analyst in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Telecommute Health Informatics Analyst vs Telecommute Health Data Analyst?

AspectTelecommute Health Informatics AnalystTelecommute Health Data Analyst
Required CredentialsBachelor's degree in health informatics, IT, or related field; certifications like CPHIMS or CAHIMSBachelor's degree in health informatics, data science, or related field; certifications like CHDA or CDMP
Work EnvironmentRemote, healthcare settings, hospitals, clinicsRemote, healthcare organizations, research institutions
Employer & Industry UsageHospitals, healthcare providers, health IT companiesHealthcare analytics firms, research organizations, hospitals

Both roles often require similar educational backgrounds and certifications, with the main difference being focus. The Health Informatics Analyst emphasizes managing health information systems and improving clinical workflows, while the Health Data Analyst concentrates on analyzing healthcare data to generate insights. Both roles are commonly performed remotely in healthcare settings and are vital for improving patient care and operational efficiency.

What cities are hiring for Telecommute Health Informatics Analyst jobs? Cities with the most Telecommute Health Informatics Analyst job openings:
What are the most commonly searched types of Health Informatics Analyst jobs? The most popular types of Health Informatics Analyst jobs are:
What states have the most Telecommute Health Informatics Analyst jobs? States with the most job openings for Telecommute Health Informatics Analyst jobs include:

Sr. Healthcare Informatics Analyst

Strategic Staffing Solutions

Baton Rouge, LA • On-site

Other

Posted 26 days ago


Job description

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

Beware of scams. S3 never asks for money during its onboarding process.

Job Title: Sr. Healthcare Informatics Analyst
REMOTE WORK
Contract Length: 6+ Months

Job ref# 247282

Seeking a Senior Healthcare Informatics Analyst to provide advanced analytics focused on understanding and improving healthcare utilization, outcomes, provider performance, and medical cost management. This role develops analytical solutions supporting patient-level healthcare insights, risk-adjusted revenue optimization, population health initiatives, and strategic decision-making. The analyst will partner with business stakeholders and IT to design predictive models, perform complex analytics, and deliver actionable business intelligence.

Required Qualifications


  • Bachelor's degree in Healthcare Administration, Statistics, Economics, Analytics, Computer Science, or a related field (or equivalent experience)
  • Minimum 4 years of healthcare analytics, healthcare IT, or management consulting experience
  • Healthcare industry experience (required)
  • Strong experience building predictive models
  • Strong knowledge of the U.S. healthcare delivery system in a payer or provider environment
  • Experience using SQL and one or more analytical tools such as SAS, R, Python, or Tableau
  • Strong analytical, critical thinking, and problem-solving skills
  • Experience translating business requirements into analytical models and business intelligence solutions
  • Experience performing descriptive and advanced statistical analyses
  • Experience validating data quality, completeness, and consistency
  • Excellent written and verbal communication skills
  • Ability to communicate technical concepts to technical and business stakeholders

Preferred Qualifications


  • Medicare Advantage experience
  • Master's degree in a related field
  • Experience with outcome research or controlled study design
  • Advanced SAS and SAS Enterprise Miner experience
  • Understanding of provider payment methodologies
  • Population health management experience
  • Risk adjustment experience
  • Knowledge of commercial risk optimization and Medicare Advantage risk optimization
  • Experience with clinical grouping methodologies including DRG, APC, ETG, MEG, DxCG, and HCC
  • Knowledge of healthcare quality metrics including HEDIS and AHRQ

Key Responsibilities


  • Lead selection of analytical, business intelligence, and statistical methodologies to support strategic decision-making
  • Develop predictive models, business intelligence solutions, and advanced analytical attributes
  • Analyze patient utilization, provider performance, healthcare outcomes, medical costs, and risk-adjusted revenue opportunities
  • Utilize enterprise data warehouse (EDW) and non-EDW data sources to develop analytical solutions
  • Partner with business units and IT to define business requirements and translate them into analytical models
  • Serve as the analytics advisor for cross-functional initiatives
  • Perform descriptive, predictive, and statistical analyses using advanced analytical techniques
  • Conduct peer data quality reviews to ensure accuracy, completeness, and consistency
  • Present analytical findings and recommendations to business and technical stakeholders
  • Support strategic planning through healthcare analytics and data-driven decision making