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Healthcare Data Analytics Jobs in Missouri (NOW HIRING)

Jobgether

$106K - $143K/yr

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 ...

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AaraTechnologies Inc

DATA ANALYST

Kansas City, MO · On-site

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 ...

HART, INC.

Healthcare Data Engineer, Team Lead

Kansas City, MO · On-site

$111K - $134K/yr

S., helping them simplify EHR data migrations, archival, interoperability, and analytics through its suite of innovative products and professional services. Hart's mission is to make healthcare data ...

BJC HealthCare

Sr. Data Analytics Strategist

Saint Louis, MO · On-site

$113K - $147K/yr

Overview BJC HealthCare is one of the largest nonprofit health care organizations in the United ... Serves as the main data analytics and business intelligence point contact for all levels of ...

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All JobsHealthcare Data Analytics JobsHealthcare Data Analytics Jobs in Missouri

Healthcare Data Analytics information

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$51

$88

How much do healthcare data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for healthcare data analytics in Missouri is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $58.17 per hour, depending on experience, location, and employer.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

How do I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or certifications such as Certified Health Data Analyst (CHDA) can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

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

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

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

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

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

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

What cities in Missouri are hiring for Healthcare Data Analytics jobs?

Cities in Missouri with the most Healthcare Data Analytics job openings:

Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Missouri as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 94% In-person, 4% Hybrid, and 2% Remote job distribution, with an average salary of $106,814 per year, or $51.4 per hour.

Sr. Healthcare Data Analyst (Medicaid)

Jobgether

On-site, Remote

$106K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 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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