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Entry Level Health Data Analyst Jobs (NOW HIRING)

Syra Health

Public Health Data Analyst

The Public Health Data Analyst provides epidemiologic analysis, data management, dashboard development, data governance support, and technical writing across Syra Health's Public Health Practice.

New

Prime Therapeutics

Health Data Analyst - Remote

Home, WA · Remote

$66K - $106K/yr

Job Posting Title Health Data Analyst - Remote The Health Data Analyst provides information, analyses, and consultation to internal and external stakeholders. This position assesses the performance ...

New

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Position: Sr. Health Data Analyst Location: Seattle, WA Job Type: Full Time Description: The Sr. Health Data Analyst will assist in the production of performance reports, specialized analytics and ...

SRI Tech solutions Inc

Sr Health Data Analyst

Seattle, WA

$97K - $123K/yr

Position: Sr. Health Data Analyst Location: Seattle, WA Job Type: Full Time Description: The Sr. Health Data Analyst will assist in the production of performance reports, specialized analytics and ...

SRI Tech solutions Inc

Sr. Health Data Analyst

Seattle, WA

$97K - $123K/yr

Title: Sr. Health Data Analyst Location: Seattle, WA Job Type: Permanent Roles and Responsibilities: * Play a key role in the planning, development and production of performance reports addressing ...

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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 31, 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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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 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Public Health Data Analyst

Syra Health

Remote

Other

Posted 2 days ago

New

Job description

SH-1002 Public Health Data Analyst
Position Overview:
The Public Health Data Analyst provides epidemiologic analysis, data management, dashboard development, data governance support, and technical writing across Syra Health's Public Health Practice. This role will transform complex public health, healthcare, surveillance, administrative, and program data into accurate analyses, actionable findings, client-ready reports, and interactive dashboards. The role requires strong analytical judgment, attention to data quality, and the ability to document methods, findings, assumptions, and limitations clearly. The ideal candidate combines applied epidemiology and data analytics experience with strong proficiency in Excel, Power BI, Tableau, and at least one statistical or database tool. The Public Health Data Analyst is an integral member of the Public Health Practice team, contributing to high-quality, evidence-based public health data products for clients and stakeholders.
Key Responsibilities
A. Epidemiology & Public Health Analysis
  • Analyze surveillance, program, survey, demographic, healthcare, administrative, and population health data.
  • Calculate and interpret counts, proportions, rates, ratios, prevalence, incidence, trends, disparities, and other epidemiologic measures.
  • Conduct descriptive, comparative, stratified, temporal, geographic, and inferential analyses as appropriate.
  • Apply epidemiologic principles to define populations, variables, measures, denominators, outcomes, and analytic limitations.
  • Support community health assessments, program evaluations, needs assessments, health equity analyses, and public health surveillance activities.
  • Identify trends, disparities, risk factors, data gaps, and findings requiring additional investigation.
  • Ensure conclusions are supported by the available data and distinguish observed findings from assumptions or projections.

B. Data Management, Quality & Governance
  • Clean, standardize, validate, merge, transform, and analyze data from multiple sources.
  • Conduct data-quality assessments addressing completeness, accuracy, consistency, timeliness, validity, duplication, and missingness.
  • Develop and maintain data dictionaries, codebooks, metadata, validation rules, assumptions logs, and source-to-output documentation.
  • Support data governance processes involving data ownership, access, classification, lineage, version control, retention, privacy, and approved use.
  • Document repeatable data-processing, quality-assurance, and validation procedures.
  • Conduct independent validation of datasets, calculations, tables, dashboards, and analytical outputs.
  • Maintain reproducible analytical files and follow established file-management, naming, documentation, and version-control standards.
  • Protect confidential and sensitive information in accordance with client requirements, organizational policies, and applicable privacy standards.

C. Dashboarding & Data Visualization
  • Develop, maintain, and quality-check dashboards and visual analytics products using Power BI and Tableau.
  • Translate client and stakeholder needs into clear indicators, measures, filters, visualizations, and dashboard requirements.
  • Prepare structured and validated datasets for dashboard development and refresh.
  • Create charts, tables, maps, scorecards, and other visualizations that accurately communicate public health findings.
  • Establish and document dashboard measures, calculation logic, data sources, refresh procedures, and validation requirements.
  • Test dashboard functionality, filters, calculations, labels, accessibility, and consistency with source data.
  • Develop advanced Excel-based analytical tools, trackers, tables, charts, and reporting templates.
  • Ensure dashboards are usable, interpretable, and appropriate for technical and nontechnical audiences.

D. Technical Writing & Reporting
  • Prepare client-ready epidemiologic reports, data briefs, technical memoranda, surveillance summaries, presentations, and analytical findings.
  • Draft data analysis plans, methods sections, standard operating procedures, dashboard documentation, and quality-assurance protocols.
  • Clearly document analytical methods, data sources, definitions, assumptions, limitations, and interpretation considerations.
  • Translate complex analytical findings into concise and actionable recommendations for health departments, leadership teams, community partners, and other stakeholders.
  • Review reports, tables, presentations, and dashboards for analytical accuracy, consistency, readability, and appropriate interpretation.
  • Conduct literature and evidence reviews to support analytical methods, indicator selection, and interpretation of findings.

E. Public Health Practice Support
  • Collaborate with epidemiologists, biostatisticians, data engineers, evaluators, dashboard developers, public health consultants, and subject-matter experts.
  • Participate in client meetings to clarify data needs, explain analytical findings, and support evidence-based decision-making.
  • Support proposal development, scope design, analytical methodology, level-of-effort estimation, and project planning.
  • Develop reusable analytical templates, reporting tools, dashboards, data-quality procedures, and governance resources for the Public Health Practice.
  • Complete assigned analyses and deliverables according to established review, validation, documentation, and approval processes.

Core Deliverables
Depending on the engagement, deliverables may include:
  • Cleaned, validated, and analysis-ready datasets
  • Epidemiologic analyses and statistical summaries
  • Data-quality assessments and validation reports
  • Power BI and Tableau dashboards
  • Excel-based analytical tools and reporting templates
  • Data dictionaries, codebooks, and metadata documentation
  • Data analysis plans and standard operating procedures
  • Surveillance reports, data briefs, and technical memoranda
  • Tables, charts, maps, and client presentations
  • Dashboard specifications, calculation documentation, and refresh procedures
  • Reproducible analytical code and methodological documentation

Qualifications & Requirements
  • Education: Bachelor's degree in epidemiology, public health, biostatistics, health informatics, data analytics, statistics, population health, or a related quantitative field required. Master's degree in epidemiology, public health, biostatistics, health informatics, data science, or a related field preferred.
  • Experience: Minimum three years of relevant experience in public health data analysis, epidemiology, healthcare analytics, surveillance, program evaluation, or a related field required. One or more years of relevant experience following completion of a related master's degree preferred.
  • Certifications: None required. Relevant public health or data analytics certifications preferred.
  • Skills: Strong knowledge of epidemiologic measures, study concepts, data-quality principles, and appropriate interpretation of findings. Advanced proficiency in Microsoft Excel, including formulas, pivot tables, data validation, data cleaning, charts, and analytical reporting. Demonstrated experience developing or maintaining dashboards in Power BI and/or Tableau. Proficiency in at least one analytical or database tool, such as R, SAS, SQL, Python, or an equivalent platform. Experience cleaning, merging, validating, and documenting data from multiple sources. Experience supporting data governance through data dictionaries, metadata, validation standards, version control, lineage, or related documentation. Strong technical-writing skills with demonstrated ability to prepare analytical reports, methods documentation, data briefs, or standard operating procedures. Ability to communicate complex findings, assumptions, limitations, and recommendations to technical and nontechnical audiences. Ability to manage multiple assignments while maintaining analytical accuracy, documentation quality, and required timelines.

Core Competencies
  • Applied epidemiology and public health data analysis
  • Data cleaning, validation, and quality assurance
  • Data governance and documentation
  • Power BI and Tableau dashboarding
  • Advanced Excel analysis
  • Statistical and database tools proficiency
  • Technical writing and reporting
  • Data visualization and interpretation
  • Quality assurance and reproducibility
  • Health equity analysis
  • Client communication and cross-functional collaboration
  • Proactive approach to maintaining data accuracy and integrity
  • Commitment to quality improvement and ongoing professional development

Working Conditions
  • Work with complex public health, healthcare, surveillance, and administrative datasets.
  • Communicate and interact with epidemiologists, biostatisticians, data engineers, evaluators, dashboard developers, public health consultants, subject-matter experts, and clients on a daily basis.
  • Prepare for the possibility of urgent data requests or unexpected analytical needs.
  • Manage multiple assignments simultaneously while maintaining analytical accuracy and documentation quality.
  • Work in a remote or hybrid environment with virtual collaboration tools.

Physical Requirements:
Must be able to lift and carry up to 15 pounds. Position requires sitting between 33% and 66% of time on duty. Use of hands to finger, handle, or feel over 66% of time on duty. Reaching with hands or arms less than 33% of time. Full ability to talk and hear. Correctable vision required. Extended periods of computer work required.
Syra Health Corp is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.

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