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Freelance Public 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.

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How much do freelance public health data analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for freelance public 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 a freelance public health data analyst?

To thrive as a Freelance Public Health Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in public health or a related field, often supported by an advanced degree. Expertise in data analysis tools such as R, SAS, SPSS, or Python, along with experience using public health databases and data visualization platforms like Tableau, is typically required. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for collaborating with diverse clients and presenting complex findings clearly. These competencies enable analysts to deliver accurate, actionable insights that inform public health decisions and improve community outcomes.

What does a freelance public health data analyst do?

A Freelance Public Health Data Analyst collects, analyzes, and interprets health-related data to support public health initiatives and decision-making. They typically work on a contract basis for organizations such as government agencies, nonprofits, or research groups. Their tasks may include cleaning and managing datasets, performing statistical analyses, creating data visualizations, and preparing reports. By identifying health trends and patterns, they help inform policy, improve public health programs, and address community health issues.

How do freelance public health data analysts typically collaborate with clients and larger project teams?

Freelance Public Health Data Analysts often work remotely and maintain regular communication with clients and interdisciplinary teams through virtual meetings, emails, and project management platforms. Collaboration typically involves clarifying project goals, sharing progress updates, and reviewing data findings with public health professionals, epidemiologists, and policy makers. Analysts must be proactive in seeking feedback, adapting to evolving project needs, and ensuring that deliverables align with clients’ objectives and timelines. Building strong communication skills and being comfortable with independent work are key to successful collaboration in this freelance role.

What is the difference between Freelance Public Health Data Analyst vs Public Health Data Analyst?

AspectFreelance Public Health Data AnalystPublic Health Data Analyst
CredentialsTypically requires a degree in public health, statistics, or related field; certifications like CPH or SAS are commonSame as freelance; often holds degrees and certifications in public health or data analysis
Work EnvironmentIndependent, project-based, remote or on-site depending on client needsEmployed by government agencies, NGOs, or healthcare organizations, often full-time
Employer & Industry UsageServes multiple clients; flexible contracts; used across public health sectorsWorks within organizations; focuses on internal data analysis and reporting

While both roles require similar credentials and skills, a Freelance Public Health Data Analyst operates independently on various projects, whereas a Public Health Data Analyst is typically employed full-time within an organization. The freelance role offers flexibility and diverse experience, while the employed role provides stability and organizational integration.

More about Freelance Public Health Data Analyst jobs
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What are the most commonly searched types of Public Health Data Analyst jobs? The most popular types of Public Health Data Analyst jobs are:
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Freelance Public Health Data Analyst jobs near you
Infographic showing various Freelance Public Health Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% 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 9 days ago

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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