Remote Public Health Data Analyst Jobs in Chicago

About the Role

Harness your passion for data and public health in a role designed for impact and flexibility. This Remote Public Health Data Analyst position offers the perfect balance of meaningful work and modern innovation, all from the comfort of your Chicago-based home office. If you thrive in analyzing complex health datasets, driving actionable insights, and collaborating across interdisciplinary teams—all while embracing remote flexibility—this opportunity is built for you.

With a focus on public health outcomes and tech-enabled analytics, you’ll contribute to programs that make a measurable difference. This role is ideal for data-driven professionals with a deep understanding of epidemiological models, digital health trends, and statistical methodologies tailored to population health.

Key Responsibilities

Transform Health Data into Actionable Insights

• Analyze, clean, and visualize structured and unstructured health data using Python, R, and SQL.
• Deliver robust epidemiological analyses and health outcome models using SAS and SPSS.
• Develop interactive dashboards with tools like Tableau or Power BI for real-time public health tracking.
• Monitor key performance indicators related to community health, disease trends, and vaccination rates.

Support Data-Driven Decision Making

• Translate data findings into policy recommendations and strategic interventions.
• Collaborate with cross-functional teams, including epidemiologists, health informatics specialists, and data architects.
• Create automated reporting solutions for program effectiveness evaluations.

Ensure Data Integrity and Compliance

• Maintain HIPAA and data security standards across all analytics workflows.
• Assist in developing data quality protocols to improve reporting accuracy.
• Participate in audits and peer reviews to validate models and results.

Work Environment

This fully remote position is tailored for public health professionals based in Chicago. Whether you work from a home office or a co-working space, you’ll join a vibrant digital workspace supported by cloud-based platforms and video conferencing tools. The work culture emphasizes asynchronous collaboration, allowing you to perform at your best without constant micromanagement.

You’ll work in a fast-paced, mission-driven team of statisticians, health economists, and digital health experts, all committed to improving health outcomes through advanced analytics. Weekly sprint meetings, monthly retrospectives, and continuous feedback loops will keep your work aligned and impactful.

Tools and Technologies

This role is tech-forward, utilizing advanced platforms to empower your analytical capacity:

• Programming Languages: R, Python, SQL
• Data Platforms: AWS, Google BigQuery, Azure Synapse
• Visualization Tools: Tableau, Power BI, D3.js
• Workflow Tools: Git, Jupyter Notebooks, VS Code
• Project Management: Jira, Confluence, Slack, Trello

You'll be expected to stay updated on innovations in AI for public health surveillance, predictive modeling, and geographic information systems (GIS). Familiarity with real-time data pipelines and ETL processes is highly beneficial.

Qualifications and Experience

Must-Have Requirements

• Bachelor's or Master’s degree in Public Health, Data Science, Biostatistics, or a related field.
• Minimum of 3 years of experience in data analytics with a public health focus.
• Demonstrated ability to manage large datasets and conduct advanced statistical analysis.
• Fluency in at least one statistical programming language (R or Python).
• Proven track record of delivering dashboards and reports to non-technical stakeholders.

Preferred Qualifications

• Experience working on CDC, NIH, or WHO-sponsored public health programs.
• Familiarity with machine learning models such as decision trees and random forests for predictive health analytics.
• Understanding of SDOH (Social Determinants of Health) and population-level data modeling.
• Certifications in health informatics, epidemiology, or cloud-based analytics.

Impact and Growth Opportunities

Join a mission-centric environment where your work will directly influence population health strategies across Illinois and beyond. Past team initiatives have led to:

• A 28% reduction in hospital readmission rates via improved risk modeling.
• Deployment of a flu surveillance dashboard used by over 200 healthcare facilities.
• Optimization of vaccination campaign outreach using demographic clustering.

Employees are encouraged to pursue professional development through sponsored certifications, international public health conferences, and cross-disciplinary workshops.

Whether you want to specialize in predictive modeling, scale your career toward a leadership position, or dive deeper into digital epidemiology, this role is a launchpad for long-term professional growth.

Salary and Benefits

• Annual Salary: $85,198
• Remote work stipend and tech allowance
• Comprehensive health, dental, and vision insurance
• Paid time off, holidays, and mental wellness days
• 401(k) with employer match
• Access to continuing education and training programs

Ready to Shape Public Health from Anywhere?

If you're a self-starter who thrives in a remote environment and wants to influence public health policy through data, apply now. We're seeking analytical minds with compassionate hearts—those who believe in the transformative power of data.

Your future team is waiting to innovate alongside you. Be part of a mission that matters. Shape tomorrow's health today—remotely.

Apply now and turn your data expertise into real-world health solutions.