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Remote Healthcare Data Analyst Jobs in Missouri (NOW HIRING)

Jobgether

$106K - $143K/yr

Our partner is looking for a Sr. Healthcare Data Analyst (Medicaid) based in Netherlands. This is a ... Fully remote work environment. * Full-time schedule of approximately 40 hours per week. * Medical ...

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Remote Healthcare Data Analyst information

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$31.9K

$77.5K

$127.6K

How much do remote healthcare data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote healthcare data analyst in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What does a remote healthcare data analyst do?

A Remote Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work from a remote location, using data analytics tools to interpret trends, identify patterns, and generate reports that support healthcare providers, insurance companies, or government agencies. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Strong analytical, technical, and communication skills are essential for this role.

What are the key skills and qualifications needed to thrive as a remote healthcare data analyst?

To thrive as a Remote Healthcare Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and a degree in health informatics, statistics, or a related field. Experience with data analysis tools like SQL, Python, Excel, and familiarity with healthcare databases and HIPAA compliance are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for presenting insights and collaborating remotely. These skills ensure accurate data interpretation, support evidence-based decisions, and facilitate secure, efficient operations in a virtual healthcare environment.

How does a remote healthcare data analyst typically collaborate with clinical teams, and what tools are commonly used for effective remote communication?

Remote Healthcare Data Analysts frequently work with clinical teams to interpret data trends and support decision-making. Collaboration usually happens through virtual meetings, secure messaging platforms, and shared dashboards. Tools like Microsoft Teams, Slack, and HIPAA-compliant data sharing systems are commonly used to ensure secure and efficient communication. Building strong relationships and maintaining clear, consistent updates are key to overcoming the challenges of remote work and ensuring seamless teamwork.

Can remote healthcare data analysts work from home?

Yes, remote healthcare data analysts often work from home, utilizing tools like data analysis software and secure networks. They typically need strong analytical skills, familiarity with electronic health records, and reliable internet access to perform their duties effectively.

Is it possible to get a remote job as a healthcare data analyst?

Yes, healthcare data analyst roles are often available as remote positions, especially with the increasing use of digital health records and data analysis tools like SQL and Excel. Employers typically require strong analytical skills, knowledge of healthcare data standards, and relevant certifications such as Certified Health Data Analyst (CHDA).

Is there a demand for remote healthcare data analysts?

Remote healthcare data analysts are in high demand due to the increasing use of electronic health records and data-driven decision-making in healthcare. Employers seek professionals skilled in data analysis tools like SQL, Excel, and visualization software, often requiring knowledge of healthcare regulations and certifications such as HEDIS or HIPAA compliance.

What are the most commonly searched types of Healthcare Data Analyst jobs in Missouri?

The most popular types of Healthcare Data Analyst jobs in Missouri are:

What are popular job titles related to Remote Healthcare Data Analyst jobs in Missouri?

For Remote Healthcare Data Analyst jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Analyst jobs in Missouri look for?

The top searched job categories for Remote Healthcare Data Analyst jobs in Missouri are:

What cities in Missouri are hiring for Remote Healthcare Data Analyst jobs?

Cities in Missouri with the most Remote Healthcare Data Analyst job openings:

Remote Healthcare Data Analyst jobs near you
Infographic showing various Remote Healthcare Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Sr. Healthcare Data Analyst (Medicaid)

On-site, Remote

Jobgether
See more jobs at Jobgetherexternal

$106K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Healthcare Data Analyst (Medicaid) based in Netherlands.

This is a senior data analytics opportunity focused on using healthcare data to strengthen Medicaid program oversight.
You will analyze large and complex datasets to identify patterns, vulnerabilities, and potential areas of fraud, waste, and abuse.
The role combines advanced analytics, Medicaid policy knowledge, research, and data visualization to turn complex information into actionable insights.
You'll work closely with technical teams and leadership to investigate challenging questions and develop practical analytical solutions.
Your findings will help inform decisions with meaningful implications for program integrity and public-sector healthcare outcomes.
The environment values collaboration, critical thinking, clear communication, and the ability to work independently on complex problems.
This role offers the opportunity to apply your healthcare data expertise to mission-driven work with tangible societal impact.

Accountabilities
  • Perform advanced analysis, interpretation, and reporting of Medicaid data, developing methodologies and analytical approaches that support program oversight.
  • Analyze large datasets to identify meaningful patterns, trends, anomalies, vulnerabilities, and high-risk areas within the Medicaid program.
  • Conduct research combining Medicaid policy knowledge with detailed claims analysis to investigate potential fraud, waste, abuse, and other program integrity concerns.
  • Develop analytical rules, methodologies, and solutions that translate complex healthcare data into actionable insights.
  • Apply exploratory research and critical thinking to understand program requirements and determine how data can inform decision-making.
  • Build compelling data visualizations, dashboards, and reports that communicate complex findings clearly to technical and non-technical audiences.
  • Present analytical conclusions and recommendations through written, verbal, and visual communication.
  • Collaborate proactively with leadership and multidisciplinary team members to identify solutions to complex analytical challenges.
  • Contribute to data-driven approaches that support the detection and prevention of fraud, waste, and abuse across Medicaid programs.
Requirements
  • Bachelor's degree in a relevant discipline and 5+ years of professional experience conducting advanced analysis of Medicaid data.
  • Strong hands-on experience with T-MSIS data and demonstrated expertise analyzing Medicaid datasets.
  • Proficiency with SQL, Python, Tableau, Databricks, Snowflake, or comparable data analytics, reporting, dashboarding, and visualization technologies.
  • Proven ability to work efficiently with large and complex datasets and uncover actionable patterns and trends.
  • Experience developing advanced analytical solutions that address business or program challenges through a strong understanding of Medicaid policy.
  • Demonstrated experience creating analytics and visualization solutions designed to identify and help prevent healthcare fraud, waste, and abuse.
  • Strong statistical analysis, research, data interpretation, and problem-solving capabilities.
  • Ability to translate complex analytical findings into clear recommendations for audiences with varying levels of technical expertise.
  • Excellent written and verbal communication skills, with confidence presenting findings to stakeholders and leadership.
  • Strong collaboration skills combined with the ability to work independently, prioritize effectively, and take ownership of complex analytical assignments.
  • Ability to obtain and maintain the required NACI (Tier 1) public trust designation.
  • Willingness to work remotely with limited travel, expected to be less than 10%.
Benefits
  • Competitive estimated salary range of $106,250-$143,750 USD annually, with final compensation based on experience, location, and applicable contractual considerations.
  • Fully remote work environment.
  • Full-time schedule of approximately 40 hours per week.
  • Medical plan options, including plans with Health Savings Accounts.
  • Dental and vision insurance options.
  • 401(k) retirement plan with company matching and pre-tax/post-tax contribution options.
  • Flexible work arrangements and full-flex work weeks where applicable.
  • Paid vacation, sick, personal, and holiday leave.
  • Typically 15 days of paid leave per calendar year for new employees, plus 10 paid holidays, subject to applicable prorating.
  • Paid parental leave, including up to 160 hours of paid family leave during a rolling 12-month period for eligible employees.
  • Military, bereavement, and jury duty leave.
  • Short- and long-term disability coverage and life insurance options.
  • Accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance offerings.
  • Opportunity to contribute to mission-driven healthcare analytics and public-sector program integrity initiatives.
  • Professional growth through work involving advanced data analytics, visualization, and large-scale healthcare datasets.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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