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Entry Level Health Data Analyst Jobs (NOW HIRING)

Central Health

Data Analyst

Austin, TX · On-site +1

Overview Central Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts, epidemiologists, biostatisticians and data scientists to serve as a key resource ...

Central Health

Data Analyst

Austin, TX

OverviewCentral Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts, epidemiologists, biostatisticians and data scientists to serve as a key resource for ...

Central Health

Data Analyst

Austin, TX · On-site

Central Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts, epidemiologists, biostatisticians and data scientists to serve as a key resource for ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical, operational, and financial decision-making within Medicare Advantage programs. This role focuses on key ...

Public Health Solutions

Survey Data Analyst

Queens, NY · On-site

$91K/yr

The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to ... BES provides statistical analytic support for public health surveillance, epidemiologic research ...

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical, operational, and financial decision-making within Medicare Advantage programs. This role focuses on key ...

ERG

Occupational Safety and Health Data Analyst

They are seeking a curious, detail-oriented analyst to support national occupational safety and health programs by analyzing and classifying real-world workplace injury and illness data.

Option Care

Healthcare Data Analyst

Bannockburn, IL

$70K - $117K/yr

Investigates key business problems through quantitative analyses and interpretation of utilization and healthcare cost data. * Translates specific business issues and questions into appropriate ...

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Entry Level Health Data Analyst information

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

As of Jul 11, 2026, the average hourly pay for entry level health data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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 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 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 does an Entry Level Health Data Analyst do?

An Entry Level Health Data Analyst is responsible for collecting, processing, and analyzing health-related data to support decision-making in healthcare organizations. They work with datasets such as patient records, clinical trials, and insurance claims to identify trends, generate reports, and ensure data quality. Their work helps healthcare providers improve patient outcomes, streamline operations, and comply with regulations. Typically, they use statistical software and data visualization tools to interpret and present findings for stakeholders.

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.
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What cities are hiring for Entry Level Health Data Analyst jobs? Cities with the most Entry Level Health Data Analyst job openings:
What are the most commonly searched types of Health Data Analyst jobs? The most popular types of Health Data Analyst jobs are:
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Entry Level Health Data Analyst jobs near you
Infographic showing various Entry Level Health Data Analyst job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Analyst

Data Analyst

Central Health

Austin, TX • On-site, Remote

Full-time

Posted 29 days ago

Job description

Overview
Central Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts, epidemiologists, biostatisticians and data scientists to serve as a key resource for business intelligence, performance, clinical and operational analytics for Central Health. Under the general direction of the Analytics Quality Manager, our Data Analyst is responsible for organizing, analyzing, and reporting on data from large EHR, clinical, financial and enrollment data sets. This analyst will act as an Epic subject matter expert for front/back-end Epic reporting development. They will also assist in the design and validation of datamarts, performance dashboards and other systems that support the needs of an integrated network of physicians, safety net providers and hospitals to advance care that is patient centered, equitable and data driven.
Responsibilities
-Develop and maintain complex SQL and/ or Python queries to retrieve, join, and summarize data from multiple sources, initially in SQL Server and later within Snowflake.
-Develop, validate, and maintain analytical reports, dashboards and visual analytics (e.g., Power BI, Tableau) to communicate findings effectively to stakeholders.
-Use analytical reasoning to interpret trends, relationships, and outliers; synthesize findings into actionable insights for business, operational, or clinical teams.
-Collaborate with operational, business and clinical units to define metrics, KPIs, and performance indicators aligned with organizational goals and document business rules and transformation logic that support consistent use of data across reports.
-Translate complex data into clear insights and visualizations that highlight trends, opportunities, and areas for improvement.
-Perform data validation, reconciliation, and spot checks to ensure accuracy and reliability of data migrated from on-prem to cloud systems.
-Support the development of automated data pipelines and quality checks in collaboration with data engineers.
-Utilize SQL and Python for data querying, modeling, staging, reporting automation.
-Create reports and dashboards in the Epic EHR as well as reports and dashboard in Power BI
-Leverage Epic Clarity and Caboodle as a primary EHR data source for analysis, ensuring data accuracy and consistency across reporting environments.
-Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise reporting and population health initiatives.
-Participate in the development of data dictionaries, metadata documentation, and validation routines.
-Identify and troubleshoot data anomalies and irregularities.
-Contribute to continuous improvement of data quality and analytic capabilities by identifying process enhancements and automating manual workflows.
-Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions, lineage, and access controls are properly maintained.
-Become a data subject matter expert (SME) and understand various sources and applications of Central Health data.
-Performs other duties as assigned.
Qualifications
MINIMUM EDUCATION:
  • Finance, Mathematics, Economics, Statistics, Actuarial Science, Computer Science, Engineering or related quantitative discipline. Hands on experience with healthcare data analysis can substitute for for specific fields of study.

Required Work Experience:
  • 2 years of experience in healthcare, statistics, experimental research, data science, reporting and analytics, economics, or public health.
  • 1 year of experience in SQL (preferably T-SQL) and Python scripting with an intermediate to advanced level of expertise
  • 1 year of experience with Power BI or Tableau.

Preferred Work Experience:
  • 1 year of experience in report development within Epic EMR using Clarity, Caboodle, SlicerDicer, Reporting Workbench, Radar
  • Familiarity with health care claims processing including billing codes
  • Experience using statistical analysis software such as SAS, R, or Python.
  • 1 year experience in Azure/ Snowflake environment.

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