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Public Health Data Analyst Entry Level Jobs (NOW HIRING)

LinQ Global

Public Health Data Analyst

Boston, MA · On-site

Public Health Data Analyst Location: Boston, MA 02108 Duration: 12 months possible ext Summary Supports health system planning, emergency preparedness, and public health surveillance by conducting ...

CYNET SYSTEMS

Public Health Data Analyst

Boston, MA · On-site

$45 - $50/hr

Knowledge of public health surveillance, healthcare data systems, and epidemiologic methods ... Link, clean, and analyze multiple state and federal datasets using SAS, SQL, Snowflake, or similar ...

Dutech Systems

$100 - $125/hr

We are seeking an experienced Epidemiologist / Public Health Data Analyst to support healthcare surveillance, health system planning, emergency preparedness, and data-driven public health initiatives.

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

As of Sep 8, 2026, the average hourly pay for public health data analyst entry level 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 does a public health data analyst entry level do?

A Public Health Data Analyst at the entry level assists in collecting, processing, and analyzing health data to help improve public health outcomes. They work with various datasets, use statistical software, and create reports to inform public health decisions. Their responsibilities may also include data cleaning, visualization, and collaborating with public health professionals to identify trends or patterns in health issues. Entry-level analysts typically work under supervision and continue to develop their technical and analytical skills on the job.

What are the key skills and qualifications needed to thrive as a public health data analyst entry level?

To thrive as an entry-level Public Health Data Analyst, you need a background in statistics, public health, or a related field, with proficiency in data analysis and quantitative research methods. Familiarity with statistical software such as R, SAS, or SPSS, as well as experience with data visualization tools, is typically required. Attention to detail, critical thinking, and strong communication skills help you interpret data accurately and present findings effectively to diverse stakeholders. These skills are crucial for transforming complex health data into actionable insights that support public health decision-making and policy development.

What are some common challenges faced by entry-level public health data analysts when working with large datasets?

Entry-level Public Health Data Analysts often encounter challenges such as cleaning and organizing large, complex datasets, dealing with missing or inconsistent data, and ensuring data privacy. Navigating multiple data sources and learning new analysis tools or software can also be overwhelming at first. However, these challenges provide valuable learning opportunities and are typically addressed through mentorship, collaboration with experienced team members, and ongoing training within public health organizations.

What is the difference between Public Health Data Analyst Entry Level vs Epidemiologist Entry Level?

AspectPublic Health Data Analyst Entry LevelEpidemiologist Entry Level
Required CredentialsBachelor's in public health, statistics, or related fieldBachelor's or Master's in epidemiology, public health, or related field
Work EnvironmentData analysis in public health agencies, research institutionsField investigations, research, data collection in health departments
Employer & Industry UsagePublic health organizations, government agencies, NGOsHealth departments, research institutes, CDC
Common Search & ComparisonYesYes

Public Health Data Analysts focus on analyzing health data to inform policies, while Epidemiologists investigate disease patterns and causes. Both roles require similar educational backgrounds but differ in daily tasks and work settings. Understanding these differences helps job seekers choose the right career path in public health.

What cities are hiring for Public Health Data Analyst Entry Level jobs?

Cities with the most Public Health Data Analyst Entry Level job openings:

What are the most commonly searched types of Public Health Data Analyst jobs?

The most popular types of Public Health Data Analyst jobs are:

What states have the most Public Health Data Analyst Entry Level jobs?

States with the most job openings for Public Health Data Analyst Entry Level jobs include:

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For Public Health Data Analyst Entry Level jobs, the most frequently searched job titles are:

Public Health Data Analyst Entry Level jobs near you
Infographic showing various Public Health Data Analyst Entry Level job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 77% Full Time, 16% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Public Health Data Analyst

Atlanta, GA • On-site

CyberData Technologies
201 - 500 employees
Learn more about CyberData Technologiesexternal

Full-time

Posted 6 days ago

Job description

Public Health Data Analyst
DNPAO Data Analysis and Management Project
Location: Atlanta, GA / Hybrid (will be required to go to the office a few times per month)
*** Must be able to Obtain and Maintain a CDC Public Trust Clearance ***
Job Description
CyberData Technologies is seeking an experienced Public Health Data Analyst to support the Centers for Disease Control and Prevention (CDC), Division of Nutrition, Physical Activity, and Obesity (DNPAO). The selected candidate will provide advanced data management, statistical analysis, and epidemiologic support for public health initiatives focused primarily on breastfeeding, child nutrition, obesity prevention, and related chronic disease prevention programs. This position will support DNPAO's efforts to generate high-quality, reproducible analyses and reports using large national public health datasets. The successful candidate will create and manage complex data systems, develop statistical analysis plans, perform sophisticated epidemiologic analyses, and communicate findings that inform public health programs, policy decisions, and national surveillance activities. The ideal candidate will possess extensive experience working with complex survey data, large public health datasets, advanced statistical methods, and data management practices within federal public health environments.
Job Responsibilities
Data Analysis Planning
  • Develop comprehensive statistical analysis plans that support epidemiologic research and surveillance activities.
  • Identify research questions and hypotheses aligned with programmatic and policy objectives.
  • Determine appropriate inclusion and exclusion criteria for analyses.
  • Evaluate datasets and identify variables necessary to address research objectives.
  • Select appropriate statistical methodologies and software tools to support analyses.
  • Develop table shells, data specifications, and documentation supporting analytical activities.
  • Document all data preparation, transformation, and analytical processes to ensure reproducibility and transparency.

Data Management
  • Collect, review, code, validate, manipulate, and maintain large public health datasets.
  • Create and maintain data dictionaries and metadata documentation.
  • Develop and manage working datasets and analysis files.
  • Perform data cleaning, quality assurance, validation, and integrity checks.
  • Manage data related to breastfeeding, child nutrition, obesity, and other DNPAO program areas.
  • Maintain and analyze data from national surveillance systems and public-use datasets.
  • Access and utilize data files, questionnaires, and documentation from CDC and National Center for Health Statistics (NCHS) data collection systems.

Statistical Analysis and Interpretation
  • Conduct univariable, bivariable, and multivariable statistical analyses using complex survey data methodologies.
  • Analyze large national datasets and interpret findings for technical and non-technical audiences.
  • Produce recurring surveillance reports, statistical summaries, dashboards, and data visualizations.
  • Support annual Healthy People 2030 reporting activities related to maternal and child health indicators.
  • Develop quarterly updates for DNPAO Data, Trends, and Maps reporting systems.
  • Respond to federal partner requests, state-level inquiries, and ad hoc data requests.
  • Conduct analyses using longitudinal and cross-sectional datasets to support public health decision-making.
  • Prepare technical reports, manuscripts, presentations, and summary documents communicating analytical findings.
  • Collaborate with CDC scientists, epidemiologists, program staff, and external stakeholders to support surveillance and evaluation activities.

Public Health Surveillance Support
  • Support analyses involving national public health surveillance systems and large-scale survey datasets.
  • Provide technical expertise related to breastfeeding surveillance, nutrition monitoring, obesity prevention, physical activity, and maternal and child health indicators.
  • Assist in developing evidence-based recommendations that support public health programs and policy initiatives.
  • Ensure analytical methods adhere to CDC standards and best practices for complex survey analysis.

Required Skills and Experience
  • Master's degree or higher in Epidemiology, Biostatistics, Public Health, Statistics, Data Science, Health Sciences, or a related quantitative field.
  • Minimum of three (3) years of professional experience supporting epidemiologic research, public health surveillance, statistical analysis, or related analytical activities.
  • Advanced expertise using statistical software including SAS, SPSS, R, SUDAAN, Epi Info, or similar analytical tools.
  • Extensive experience managing and analyzing large, complex survey datasets that utilize weighting, clustering, and stratification methodologies.
  • Strong knowledge of epidemiologic methods, surveillance systems, and quantitative public health research.
  • Demonstrated experience developing statistical analysis plans and managing large datasets from acquisition through reporting.
  • Experience conducting multivariable statistical analyses and interpreting findings for public health applications.
  • Ability to independently manage multiple analytical projects and respond to ad hoc data requests.
  • Strong written and verbal communication skills, including technical report development and presentation of findings.
  • Experience developing reproducible analytical workflows and maintaining detailed documentation.

Preferred Skills and Experience
  • Experience supporting the Centers for Disease Control and Prevention (CDC) or other federal public health agencies.
  • Experience analyzing National Health and Nutrition Examination Survey (NHANES) data.
  • Experience working with the National Immunization Survey (NIS), National Survey of Children's Health, National Vital Statistics System (NVSS), Youth Risk Behavior Surveillance System (YRBSS), or similar national surveillance systems.
  • Knowledge of breastfeeding surveillance, maternal and child health, nutrition, obesity prevention, and chronic disease epidemiology.
  • Experience supporting Healthy People objectives, public health surveillance reporting, and policy-related analyses.
  • Familiarity with CDC data management standards and public-use datasets.
  • Experience developing data visualizations, dashboards, and automated reporting processes.
  • Experience working with Azure products (i.e. Databricks), Python and GitHub.
  • The CDC is VERY desirous of skill sets that can support BOTH the analytic work and the data management/data infrastructure aspects of the position.
Skills & Requirements Qualifications
Principal applicants only. Please no agencies, 3rd party, or staffing firms.
CyberData is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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