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Health data analyst skills for your resume and career

Updated January 8, 2025

7 min read

Quoted experts

Pavel Chernyavskiy Ph.D.,

Zhixin Wu Ph.D.

Below we've compiled a list of the most critical health data analyst skills. We ranked the top skills for health data analysts based on the percentage of resumes they appeared on. For example, 9.1% of health data analyst resumes contained tableau as a skill. Continue reading to find out what skills a health data analyst needs to be successful in the workplace.

15 health data analyst skills for your resume and career

1. Tableau

Here's how health data analysts use tableau:

Analyzed Medicare claims, Health facts data and visualized the findings using tableau dashboards and storyboards.
Designed and developed various analytical reports from multiple data sources by blending data on a single worksheet in Tableau Desktop.

2. Public Health

Here's how health data analysts use public health:

Provided database support to academic researchers, biostatisticians, physicians, and other public health researchers.
Planned, developed and implemented the most effective approaches for progressive marketing campaigns for state's public health disease prevention programs.

3. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how health data analysts use data collection:

Provided oversight/and or training to clinical staff involved in data collection activities to maintain data quality.
Provided technical support for the design, development, implementation, and upgrading of new data collection tools and applications;.

4. Patients

Here's how health data analysts use patients:

Preformed all necessary functions to obtain an electronic record database and assisted patients with obtaining medical records.
Maintained accurate medical records while ensuring confidentiality with patients' health information.

5. Data Management

The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

Here's how health data analysts use data management:

Developed rules and methodologies for effective data management.
Use the ICD-9-CM, CLIA, and LOINC codes for clinical and laboratory data management, reporting, and analysis.

6. Visualization

Here's how health data analysts use visualization:

Perform descriptive analysis, data visualization and statistical significance analysis for global student surveys * Write and present reports on analyses results
Produced Business Process Flow diagrams and developed tools for visualization, user experience and application configuration as required.

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7. Population Health

Through community surveys and interviews, a health data analyst gathers and analyzes information to develop conclusions or recommendations to help programs deliver efficient health services to communities. Population health analyses play a significant role in combating epidemics or outbreaks, determining the healthcare needs of a community, and creating strategies to improve community health.

Here's how health data analysts use population health:

Interviewed business users to collect information for population health (PH) report development.
Collect and analyze physician data to determine population health trends.

8. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how health data analysts use python:

Used Python for scraping web data.
Involved in development of python modules for machine-learning on AWS-housed Hadoop/Hive/Pig, with applications to predictive analytics.

9. Data Quality

Here's how health data analysts use data quality:

Performed data quality analysis and produced data quality reports on new customer processing.
Investigate and troubleshoot data quality problems with contributed data.

10. Medicaid

Here's how health data analysts use medicaid:

Served as the single point-of-contact and account manager for external clients including Medicare, Medicaid, and commercial clients.
Evaluated program compliance to ensure clients are receiving clinical services according to the Medicaid policy.

11. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how health data analysts use data warehouse:

Analyzed various data sources including clinical data warehouse, claims data, and state/national comparative data.
Participated as team member in development of data warehouse coordinating business needs with technical staff.

12. PowerPoint

Here's how health data analysts use powerpoint:

Communicated analysis results in graphs, summaries and presented data with Excel dashboard and PowerPoint presentation.
Developed PowerPoint presentations and various marketing collateral for Membership Director to present at Chamber budget meetings and Women in Commerce conferences.

13. Profiling

Here's how health data analysts use profiling:

Designed, developed, and implemented physician profiling (utilization, financial, and clinical).
Trained cross-department with Medical Management for Controlled Disease Management (CDM) profiling and tracking.

14. Disease Management

Disease management is a process by which populations at high-risk to certain chronic conditions are encouraged to maintain their wellbeing through various means. The overall goal of disease management is to assist those with chronic conditions achieve a better lifestyle with reduced costs for health care. In order to achieve this, a large system of integrated care must be put in place.

Here's how health data analysts use disease management:

Devised comprehensive analyses to support disease management initiatives.

15. CMS

A Content Management System or CMS is computer software that works as a framework where content can be assembled and managed by using a database. CMS is an important asset in web development. This platform enables users to create, edit, collaborate on, publish and store digital content. It helps users to manage their content and modify it from a single system.

Here's how health data analysts use cms:

Participated in discussions with CMS leaders and leaders in the provider community to identify providers needing education in clinical documentation.
Facilitated a bonding culture that focused on corporate / CMS compliance expectations and adherence of quality standards for maximum efficiency.

5 Health Data Analyst resume examples

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What skills help Health Data Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What health data analyst skills would you recommend for someone trying to advance their career?

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

Statisticians with subject-matter expertise tend to be more in-demand, all else being equal. For example, quantitative biologists, statistical geneticists, bioinformaticians, industrial statisticians can all be thought of as "statisticians with subject-matter expertise," at least in my opinion. With that in mind, if an applicant can develop their knowledge of a particular area of application during their gap year, it should help them in the job market.

What type of skills will young health data analysts need?

Zhixin Wu Ph.D.

Associate Professor, DePauw University

Problem solving skills, analytical skills, self-learning ability, and good communication skills.

What hard/technical skills are most important for health data analysts?

Candace Esken Ph.D.

Assistant Professor of Management & Leadership, Bradley University

The most important hard skills for management analysts are problem-solving, data analysis, and presentation skills. The central focus of their work revolves around solving problems for clients by analyzing large chunks of data and drawing meaningful conclusions. Analysts also spend a great deal of time creating sophisticated presentations to enhance communication with clients. Management Analysts should be especially skilled with excel and PowerPoint.

Do you want to know more?

List of health data analyst skills to add to your resume

The most important skills for a health data analyst resume and required skills for a health data analyst to have include:

Tableau
Public Health
Data Collection
Patients
Data Management
Visualization
Population Health
Python
Data Quality
Medicaid
Data Warehouse
PowerPoint
Profiling
Disease Management
CMS
Health Outcomes

EMR
Analyze Data
Epic
Claims Data
Quality Improvement
Data Entry
HIPAA
Extraction
SQL Server
EHR
Research Projects
Data Integrity
ETL
Technical Assistance
Technical Support
Health Care Data

Home Health
CPT
HEDIS
Data Extraction
VBA
Health Plan
Ad-Hoc Reports
QA
Survey Data
Windows
Data Analysis
Regression
External Clients
Community Health
AHIMA

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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