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Public Health Data Analyst Remote Jobs (NOW HIRING)

... a remote environment to accomplish assignments in a timely manner • Experience or strong interest in data analysis, public health, occupational safety, epidemiology, or related fields • ...

Senior Data Analyst

Austin, TX · On-site +1

$86K - $109K/yr

... public health) will be considered in lieu of degree / * Bachelor's Degree Management Information ... data science, reporting and analytics, economics, or public health. * 3 years experience in SQL ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

Data QA Analyst Remote Role C2H (Only W2) What You Will Do: Review and analyze functional and ... Experience with XML. Experience in handling health data. Experience with Power BI and SSRS.

WHO WE ARE & WHAT WE DO Truvani is a health and wellness brand that has one clear mission: create ... ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ...

Data Analyst Remote Product Operations' focus is to support and educate the people and businesses ... We develop processes to help improve the health of our products and work with cross-functional ...

WHO WE ARE & WHAT WE DO Truvani is a health and wellness brand that has one clear mission: create ... ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ...

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Public Health Data Analyst Remote information

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$34K

$82.6K

$136K

How much do public health data analyst remote jobs pay per year?

As of Jul 13, 2026, the average yearly pay for public health data analyst remote in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a remote Public Health Data Analyst do?

A remote Public Health Data Analyst collects, processes, and analyzes health-related data to help inform public health policies and programs. They use statistical methods and data visualization tools to identify trends, track disease outbreaks, and evaluate the effectiveness of interventions. Working remotely, they collaborate with public health teams, government agencies, and research organizations to provide actionable insights for improving community health outcomes.

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

To thrive as a Public Health Data Analyst (Remote), you need a solid background in statistics, epidemiology, and data analysis, usually supported by a relevant degree in public health, biostatistics, or a related field. Familiarity with statistical software (such as R, SAS, or SPSS), data visualization tools (like Tableau or Power BI), and knowledge of public health databases are typically required. Strong communication, critical thinking, and problem-solving skills are essential for translating complex data into actionable insights for diverse stakeholders. These competencies ensure accurate data-driven decision-making that supports effective public health interventions and policies.

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

AspectPublic Health Data Analyst RemoteEpidemiologist
Required CredentialsBachelor's or Master's in Public Health, Data Science, or related field; proficiency in data analysis toolsMaster's or Doctorate in Epidemiology or Public Health; often requires state licensure
Work EnvironmentRemote, primarily data analysis and reportingFieldwork, research, and data analysis, often in healthcare or government settings
Employer & Industry UsagePublic health agencies, research institutions, NGOsPublic health departments, research institutions, hospitals

While both roles focus on public health, Public Health Data Analysts primarily analyze data remotely to inform health policies, whereas Epidemiologists often conduct field research and investigations, sometimes on-site. The roles overlap in data skills but differ in scope and work environment.

How does a remote Public Health Data Analyst typically collaborate with epidemiologists and policy makers?

As a remote Public Health Data Analyst, collaboration with epidemiologists and policy makers is often facilitated through virtual meetings, shared data platforms, and regular communication channels like email or Slack. Analysts are responsible for translating raw data into actionable insights, preparing reports, and sometimes presenting findings to stakeholders. This role requires frequent coordination to ensure data accuracy and relevance, as well as flexibility to adapt analyses based on evolving public health needs. Building strong virtual relationships and maintaining clear communication are key to supporting effective public health interventions.
More about Public Health Data Analyst Remote jobs
What cities are hiring for Public Health Data Analyst Remote jobs? Cities with the most Public Health Data Analyst Remote 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 Remote jobs? States with the most job openings for Public Health Data Analyst Remote jobs include:
Occupational Safety and Health Data Analyst

Occupational Safety and Health Data Analyst

ERG

Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. 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.
Responsibilities:
• Review workplace injury, illness, and fatality records and apply standardized case‑classification codes using the Bureau of Labor Statistics (BLS) Occupational Injury and Illness Classification System (OIICS).
• Exercise thoughtful, independent judgment to accurately classify complex or ambiguous cases while maintaining speed and consistency.
• Draft brief, clear incident narratives that summarize the circumstances of each case in plain, concise language.
• Manage multiple work queues and deadlines while maintaining high quality and attention to detail.
• Collaborate regularly with team members and senior analysts for guidance, quality checks, and knowledge sharing.
• Contribute to documentation, process improvements, and evolving analytical practices over time.
Qualifications:
Required:
• A bachelor’s degree in communications, health/environmental science, statistics, or related field
• Strong analytical thinking and attention to detail, with the ability to apply rules consistently
• Excellent writing, editing, and verbal communication skills with the ability to convey complex information clearly and concisely
• Outstanding time-management and organizational skills with the ability to work independently in a remote environment to accomplish assignments in a timely manner
• Experience or strong interest in data analysis, public health, occupational safety, epidemiology, or related fields
• Proficiency in Microsoft Office 365 (Word, Access, Excel, PowerPoint, Teams, and SharePoint)
• Willingness and ability to learn new software and technical skills as required
Preferred:
• Experience with structured classification or coding systems (e.g., OIICS, ICD, or similar)
• Experience or coursework in data analysis or data management
• Familiarity with SAS, R, Power BI, Qlik, or other analytical tools
• Prior exposure to occupational health, injury or illness surveillance, or public health research
Company:
ERG is a consulting and environmental services and consulting firm. Founded in 1984, the company is headquartered in Lexington, USA, with a team of 501-1000 employees. The company is currently Late Stage.