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Healthcare Data Analytics Jobs in Kansas (NOW HIRING)

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 ...

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 ...

Data Visualization Manager

Lenexa, KS · On-site

$82 - $165/hr

Data Visualization Manager Hybrid in Lenexa, KS Join us in shaping a healthier future for kids. At ... Bachelor's degree in Analytics, Healthcare Management, Business, Computer Science, Information ...

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Healthcare Data Analytics information

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$21

$48

$84

How much do healthcare data analytics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for healthcare data analytics in Kansas is $48.83, according to ZipRecruiter salary data. Most workers in this role earn between $39.23 and $55.29 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 Kansas?

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

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

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

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

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

Infographic showing various Healthcare Data Analytics job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $101,558 per year, or $48.8 per hour.

Senior Data Scientist, Healthcare Data & Analytics (Mission)

Mission, KS • On-site


Thyme Care, Inc.
Health Care and Social Assistance • 51 - 200 employees

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

People enjoy working here

Good employer

Paid breaks


$166K - $185K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Thyme Care, Inc. is seeking a Senior Data Scientist in Mission, Kansas. In this role, you will enhance analytic capabilities supporting cancer care solutions by modeling data, creating visualizations, and delivering insights.

You will define improvements to data pipelines, own scalability efforts, and work closely with various teams to support efficient care delivery. Candidates should possess deep expertise in healthcare data and data modeling.

The base salary for this position ranges from $166,500 to $185,000 with additional equity and benefits.

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