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Entry Level Health Data Analyst Jobs in Kansas (NOW HIRING)

LanceSoft, Inc. is seeking a Data Analyst III to extract and analyze data from SAP S/4HANA. The ... Entry-level professionals with foundational knowledge in technical fields are welcome. Company

$25 - $58/hr

Remote Data Analyst Job Overview The CPS Store specialises in providing a wide variety of ... Flexible working hours to promote a healthy work-life balance. * The opportunity to make a ...

... includes health coverages, paid leave, regular compensation reviews, retirement plans, and ... Calculate rates in tax software based on historical data and new valuations, and manually audit all ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... This is an entry level position responsible for processing all release of information (ROI ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... is an entry level position responsible for processing all release of information (ROI ...

Health Information Specialist I

Atchison, KS · On-site

$92K - $92K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... is an entry level position responsible for processing all release of information (ROI ...

Health Information Specialist I

Wathena, KS · On-site

$92K - $93K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... is an entry level position responsible for processing all release of information (ROI ...

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Entry Level Health Data Analyst information

See Kansas salary details

$11

$29

$55

How much do entry level health data analyst jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for entry level health data analyst in Kansas is $29.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $32.79 per hour, depending on experience, location, and employer.

What does an entry level health data analyst do?

As an entry-level health data analyst, your responsibilities are to gather medical records, billing records, and other health data and analyze them for a hospital or healthcare company. Your goal as a health data analyst is to identify trends in the data and suggest ways to improve treatment while lowering the cost of service provision within the healthcare company or medical care facility. Your specific duties include pulling medical records, researching medical databases, analyzing electronic health records, and developing reports from your analysis. Since this is an entry-level position, you may assist a more experienced analyst until you gain the necessary skills.

What are the key skills and qualifications needed to thrive as an entry level health data analyst, and why are they important?

To thrive as an Entry Level Health Data Analyst, you need a solid grasp of statistics, data analysis, and healthcare terminology, typically supported by a bachelor's degree in health informatics, statistics, or a related field. Familiarity with data analysis tools such as Excel, SQL, and statistical software like SAS or R, as well as experience with electronic health records (EHR) systems, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and present data insights clearly to diverse stakeholders. These competencies are crucial for transforming raw health data into actionable information that supports evidence-based decisions in healthcare organizations.

What are some typical challenges faced by entry level health data analysts and how can they overcome them?

Entry-level health data analysts often encounter challenges such as working with incomplete or inconsistent healthcare data, learning complex data management systems, and adapting to strict privacy regulations like HIPAA. To overcome these, new analysts should focus on developing strong data cleaning skills, seek mentorship from experienced colleagues, and stay updated with industry best practices. Effective communication with healthcare professionals and IT teams is also crucial for clarifying data requirements and ensuring accurate analysis.

What is the difference between Entry Level Health Data Analyst vs Health Data Specialist?

AspectEntry Level Health Data AnalystHealth Data Specialist
Required CredentialsBachelor's in health informatics, data science, or related field; basic knowledge of data analysis toolsBachelor's or associate degree; familiarity with health data systems and compliance standards
Work EnvironmentHealthcare organizations, clinics, or health IT companies; entry-level roles with supervisionHospitals, clinics, or health agencies; often involves managing health data systems
Employer & Industry UsageCommonly used in healthcare analytics teams, research, and reportingUsed in health information management, data entry, and system maintenance

In summary, Entry Level Health Data Analysts focus on analyzing healthcare data to support decision-making, while Health Data Specialists often handle data management and system operations. Both roles require familiarity with health data standards but differ in their primary responsibilities and skill sets.

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

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

What are popular job titles related to Entry Level Health Data Analyst jobs in Kansas?

For Entry Level Health Data Analyst jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Entry Level Health Data Analyst jobs in Kansas look for?

The top searched job categories for Entry Level Health Data Analyst jobs in Kansas are:

What cities in Kansas are hiring for Entry Level Health Data Analyst jobs?

Cities in Kansas with the most Entry Level Health Data Analyst job openings:

Infographic showing various Entry Level Health Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $61,080 per year, or $29.4 per hour.

Associate Data Analyst

Overland Park, KS • On-site

Ad Astra Information Systems, L.L.C.
51 - 200 employees

Other

Retirement

Posted 12 days ago


Job description

Full Time Professional Corporate Office, Overland Park, KS, US

Competitive Compensation & Benefits Package * 401(k) with Profit Sharing * Flexible Time Off * Office Dog!!

ABOUT US

By combining our unparalleled domain expertise with leading-edge technology, Ad Astra is helping higher education in its mission to advance timely student completions. We are building a cloud-based software platform that will provide the foundation for our next generation of industry-leading solutions and analytics. Simply put, we're helping students graduate faster.

OUR CORE VALUES
  • We recognize talent. We recognize and appreciate the unique God-given talents that our people bring to Ad Astra. Aligning these individual gifts with our work sets team members up to succeed.
  • We’re unpretentious. There’s no room for ego. We admit our imperfections and have the humility to know what we don’t know.
  • We’re passionate. We aren’t satisfied with the status quo. We’re on a mission together to protect the value of degree completion and to transform the higher education industry.
  • We’re pioneering. We’re pioneering and aren’t afraid of failing—in fact, we celebrate it. We love it when our people boldly experiment with innovative solutions.
  • We love fun. The health of our relationships is strengthened by working with people who stretch our thinking—and by enjoying the lighter side of life together. We don’t take ourselves too seriously, but we do take fun seriously.
  • We have grit. Beyond talent and intelligence, our people have stick-to-itiveness. We push through challenges to make goals a reality.
POSITION SUMMARY

The Associate Data Analyst supports the Insights function within Ad Astra’s Insights and Advisory Services organization, contributing to the analytical products, data models, and evidence base that support client engagements across the organization’s service lanes. This is an entry-level analytical role focused on analysis and research support, data quality review, and the translation of data into clear, usable insights for campus decision makers.

Reporting to the VP of Value and Insights, the Data Analyst prepares analyses, reviews data for quality and anomalies, and produces reporting and visualizations that help institutions understand their scheduling, enrollment, and student success data. While the Insights function is the primary home of this role, the Data Analyst is expected to provide broad analytical support across Insights and Advisory Services, contributing to consulting engagements, benchmarking cohorts, technical assistance, and strategic advisory work as needs arise. The Data Analyst develops technical and conceptual skills over time under the mentorship of senior team members.

This position supports critical analysis of client data in support of scheduling and planning initiatives. The Data Analyst will become familiar with the types of data stored in student information systems and how Ad Astra consumes and processes that information. The person in this role is curious, detail-oriented, and resourceful in collaborating with colleagues to create reports, analyses, dashboards, and solutions, and applies a developing understanding of the role of analytics in supporting student success and degree velocity. This position will also utilize AI to streamline the assessment, validation, and creation of deliverables where possible. The ability to develop strong working relationships with other Ad Astra team members and a genuine enthusiasm for this work will be key to success in the role.

ESSENTIAL FUNCTIONS/CORE RESPONSIBILITIES
  • Prepare analyses, reports, and data visualizations that support Ad Astra consulting and Insights engagements, working under the direction of the Vice President and senior team members.
  • Review and validate client data for quality, completeness, and anomalies, flagging business process differences or data issues that may require adjustment before analysis proceeds.
  • Translate data into clear, accurate insights and summaries that non-technical audiences can understand and act on.
  • Design and build reporting, dashboards, and solutions that support data-informed decision making, using tools such as Amazon QuickSight, Tableau, or similar platforms.
  • Use SQL to perform data extraction and querying, data manipulation and aggregation, data cleaning and preparation, data structuring, and automation.
  • Conduct pre- and post-analysis validation to help ensure results are accurate, valid, and reliable for client engagements.
  • Provide broad analytical support across Insights and Advisory Services, contributing to consulting engagements, benchmarking cohorts, technical assistance, and advisory work as needs arise.
  • Follow the team’s standards for analytical rigor and reproducibility, including hypothesis and pre-analysis documentation, peer review, version control, and archiving of code and source data.
  • Systematically organize and archive raw data, analyses, and deliverables so that work is documented, reproducible, and transferable.
  • Provide data entry support as needed, especially as it relates to pathways data.
  • Utilize AI, where possible, to streamline and improve data assessment and deliverable completion.
  • Collaborate with colleagues across Value and Insights, Consulting, Development and Product, and other teams to develop new reports and data visualizations.
  • Support the accurate import and interpretation of client data for consulting engagements, coordinating with clients and the Onboarding/Support team as questions arise.
  • Develop working knowledge of student and institution data over time to provide increasingly independent analytical support.
  • Seek guidance and feedback proactively and grow technical and conceptual capability through mentorship and stretch assignments.
  • Perform other duties and special projects as assigned.
POSITION REQUIREMENTS
  • Bachelor’s degree in business, statistics, data analytics, or a related academic field
  • 0–2 years of experience in data analysis or a related field, including relevant internship, academic project, or coursework experience
  • Demonstrated ability to work with data in a structured, accurate, and detail-oriented way
  • Ability to communicate analytical findings clearly, both in writing and verbally
  • Proficiency with Microsoft Office applications, particularly Microsoft Excel (vlookups, pivot tables, if-then statements, etc.)
  • Curiosity, initiative, and a willingness to learn new tools, methods, and domain knowledge
  • Ability to manage time across multiple tasks and follow through on commitments
ESSENTIAL COMPETENCIES
  • Analytical Thinking
  • Problem Solving
  • Attention to Detail
  • Planning and Organization
  • Communication
  • Initiative
  • Time Management
  • Curiosity and Learning Agility
  • Data Quality Judgment
ADDITIONAL PREFERRED QUALIFICATIONS
  • Experience or coursework in the field of Higher Education
  • Previous experience and deep knowledge of SQL and relational databases
  • Experience developing reports and visualizations with tools such as Amazon QuickSight, Tableau, Sisense, or Crystal Reports
  • Exposure to statistical methods or predictive modeling through coursework or applied projects
  • Self-motivated to anticipate clarification needed and seek solutions to problems with appropriate guidance
HOW PERFORMANCE IS MEASURED FOR THIS ROLE
  • Accuracy, completeness, and on-time delivery of assigned analytical work products, with errors and rework tracked and trending down as experience grows.
  • Reliability of data quality review, evidenced by anomalies and issues identified before they reach analysis or clients.
  • Clarity and usability of reports, visualizations, and summaries produced for internal and client audiences.
  • Consistent application of the team’s rigor and documentation standards to assigned work.
  • Demonstrated growth in technical skill, domain knowledge, and independence over time.
  • Responsiveness, collaboration, and contribution of analytical support across service lanes beyond Insights.

This position is in Overland Park, KS in the greater Kansas City metro area. Ad Astra does not cover relocation expenses.

Ad Astra is proud to be an equal opportunity employer. We are committed to fostering an inclusive workplace where all individuals are treated with respect and fairness—regardless of race, color, national origin, sex, gender identity or expression, sexual orientation, religion, age, political affiliation, disability, veteran status, or any other characteristic protected by law.

All applicants must be legally authorized to work in the United States. Ad Astra is unable to provide work visa sponsorship for this position.

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