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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.

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Health Data Analyst information

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How much do health data analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for health data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts play a crucial role in interpreting complex health data, and while AI can automate routine tasks like data processing and basic analysis, it is unlikely to fully replace the need for human analysts who provide critical insights, contextual understanding, and decision-making. Skills in data management, statistical tools, and domain knowledge remain essential in this evolving field.

Are health data analysts in demand?

Health data analysts are in high demand due to the increasing focus on healthcare data management, analytics, and evidence-based decision making. The role requires skills in data analysis tools like SQL and Excel, and employment opportunities are expected to grow faster than average in the coming years.

What are the key skills and qualifications needed to thrive as a Health Data Analyst, and why are they important?

To thrive as a Health Data Analyst, you need strong analytical skills, knowledge of statistics, and a degree in health informatics, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, R, and healthcare data systems such as EHRs or Epic is typically required. Attention to detail, problem-solving abilities, and effective communication skills are essential soft skills for translating complex data into actionable insights. These skills ensure accurate analysis, enable data-driven decision-making, and support improved patient outcomes in healthcare organizations.

What Does a Health Data Analyst Do?

A health data analyst creates data reports that guide healthcare providers or organizations. The data comes from various systems or sources, like treatment or billing records. These statistical reports can be used to assess disease trends, over or underutilization of treatment, and cost of healthcare. Medical services and insurance providers can use this information to make decisions about future costs and coverage, while organizations such as the CDC (Centers for Disease Control and Prevention) use it to assess public health. Entry-level jobs as an analyst require a bachelor’s degree in healthcare administration, financing, or a related field.

What are Health Data Analysts?

Health Data Analysts are professionals who collect, process, and analyze health-related data to help organizations improve patient care, streamline operations, and meet regulatory requirements. They use statistical tools and data management techniques to interpret large sets of medical and healthcare data, identifying trends and insights. Health Data Analysts often work in hospitals, public health agencies, insurance companies, or research institutions. Their work helps healthcare providers make informed decisions, improve patient outcomes, and optimize costs.

What are some common challenges Health Data Analysts face when working with healthcare data?

Health Data Analysts frequently encounter challenges such as dealing with incomplete or inconsistent data, ensuring patient privacy and data security, and integrating information from multiple electronic health record (EHR) systems. Navigating these hurdles requires strong data cleaning skills, a solid understanding of healthcare regulations like HIPAA, and effective communication with clinical staff to clarify data context. Overcoming these challenges is essential to producing accurate analyses that support healthcare decision-making and improve patient outcomes.

Can a data analyst work in healthcare?

A health data analyst is a role that involves analyzing healthcare data to improve patient outcomes, optimize operations, and support decision-making in medical settings. This job typically requires knowledge of healthcare systems, data management tools, and statistical software, and may involve working with electronic health records and compliance standards like HIPAA.

What is the role of a health data analyst?

A health data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use statistical tools and software such as SQL, Excel, or specialized health informatics systems, often working with electronic health records and healthcare databases.
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Health Data Analyst jobs near you
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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