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Healthcare Data Analyst Jobs in Kansas (NOW HIRING)

WellSky

Data Analyst

Overland Park, KS · Remote

$2.5K/yr

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS ... Comfort with healthcare claims coding structures (e.g., ICD, HCPCS/CPT, revenue codes, DRGs)

WellSky

Data Analyst

Overland Park, KS · On-site

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS ... Comfort with healthcare claims coding structures (e.g., ICD, HCPCS/CPT, revenue codes, DRGs)

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ...

Advisors Excel

Marketing Data Analyst

Topeka, KS · On-site

Marketing Data Analyst Department: AE Media Reporting to: Lead Strategic Marketing and Performance ... Access to an on-site café, gym and primary care * Continuous personal and professional development ...

Advisors Excel

Marketing Data Analyst

Topeka, KS

Marketing Data Analyst Department: AE Media Reporting to: Lead Strategic Marketing and Performance ... Access to an on-site café, gym and primary care * Continuous personal and professional development ...

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Healthcare Data Analyst information

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$33

$55

How much do healthcare data analyst jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for healthcare data analyst in Kansas is $33.29, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $37.74 per hour, depending on experience, location, and employer.

What does a healthcare data analyst do?

A Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work with electronic health records, billing data, and clinical information to identify trends, improve patient outcomes, and ensure operational efficiency. Their insights support healthcare providers, administrators, and policymakers in optimizing services and reducing costs. Analysts often use statistical tools and data visualization techniques to communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as a healthcare data analyst, and why are they important?

To thrive as a Healthcare Data Analyst, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, Tableau, and healthcare-specific software like Epic or Cerner is essential, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help translate complex data into actionable insights for healthcare teams. These skills are vital for improving patient outcomes, streamlining operations, and supporting data-driven decision-making in healthcare organizations.

What are some common challenges faced by healthcare data analysts when working with clinical data?

Healthcare Data Analysts often encounter challenges such as dealing with incomplete or inconsistent patient records, integrating data from various electronic health record (EHR) systems, and ensuring patient privacy while analyzing sensitive information. Navigating complex regulatory requirements like HIPAA is also a key part of the role. Analysts must develop strong problem-solving skills and maintain close collaboration with clinical and IT teams to ensure data accuracy and meaningful insights.

What is the difference between Healthcare Data Analyst vs Healthcare Data Scientist?

AspectHealthcare Data AnalystHealthcare Data Scientist
Required CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPC or CAP often preferredAdvanced degrees (Master's or PhD) in data science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) beneficial
Work EnvironmentHospitals, clinics, insurance companies, healthcare IT firmsResearch institutions, healthcare tech companies, pharmaceutical firms
Employer & Industry UsageCommonly employed in healthcare settings for data reporting and analysisUsed in advanced data modeling, predictive analytics, and research projects

Healthcare Data Analysts focus on interpreting healthcare data to improve patient outcomes and operational efficiency, often working with existing datasets. Healthcare Data Scientists perform more complex data modeling and predictive analytics, requiring advanced technical skills and higher education. Both roles are vital in healthcare but differ in scope and complexity.

How do I become a certified healthcare data analyst?

To become a certified healthcare data analyst, you typically need a bachelor's degree in health informatics, data science, or a related field, along with experience working with healthcare data. Earning certifications such as the Certified Health Data Analyst (CHDA) from the American Health Information Management Association (AHIMA) or the Certified Analytics Professional (CAP) can enhance your credentials. Proficiency in data analysis tools like SQL, Excel, and statistical software is also important for this role.

Is there a demand for healthcare data analysts?

Healthcare data analysts are in high demand due to the increasing focus on data-driven decision making in healthcare organizations. The role requires skills in data management, statistical analysis, and tools like SQL and Excel, with job growth expected to be faster than average over the next several years.

What degree do you need to be a healthcare data analyst?

Healthcare data analysts typically need at least a bachelor's degree in fields such as health informatics, statistics, data science, or a related area. Many employers prefer candidates with a master's degree or relevant certifications in data analysis or healthcare analytics. Strong skills in data management, statistical software, and understanding healthcare systems are also important.
More about Healthcare Data Analyst jobs

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

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

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

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

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Cities in Kansas with the most Healthcare Data Analyst job openings:

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Healthcare Data Analyst jobs near you
Infographic showing various Healthcare Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $69,245 per year, or $33.3 per hour.

Healthcare Data and Analytics Specialist - Remote - USA

Topeka, KS • On-site, Remote

FullStack Labs
IT Services • 11 - 50 employees
Learn more about FullStack Labsexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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