Data Analyst

PCI Professional Services LLC • Atlanta, GA

10d • $95,000 - $130,000

About The Position

Conduct reproducible public health data management, surveillance analysis, statistical analysis, visualization, and reporting that supports DNPAO scientific, programmatic, policy, and evaluation decisions. This role supports DNPAO epidemiology, surveillance, evaluation, policy analysis, and program-impact reporting. Assignments may involve public-use datasets such as NHANES, NHIS, BRFSS, YRBS, NIS, mPINC, or NSCH; large administrative and recipient datasets; GIS, mobility, image, or policy-text data; R and Python analyses; dashboard and scorecard production; data-quality checks; and reproducible documentation for scientific and decision-making products.

Requirements

• Bachelor's degree.
• At least 5 years of experience analyzing public health, epidemiologic, surveillance, evaluation, administrative, policy, or large-scale research data.
• Demonstrated proficiency with relevant tools such as R, Python, SAS, SQL, Power BI, Tableau, or GIS and experience with data cleaning, quality assurance, reproducible code, visualization, interpretation, and technical documentation are strongly preferred.
• Demonstrated ability to produce accurate, timely, and high-quality work in a multidisciplinary, deadline-driven environment.
• Strong written and verbal communication, collaboration, organization, judgment, and client-service skills.

Nice To Haves

• Prior experience supporting CDC, HHS, another federal health agency, a public health recipient network, or a comparable mission-focused organization.

Responsibilities

• Acquire, clean, transform, merge, validate, and maintain public health and program datasets.
• Conduct descriptive, inferential, regression, trend, geospatial, policy, or other appropriate analyses.
• Use R, Python, SAS, SQL, visualization, or GIS tools as appropriate to the assignment.
• Develop tables, figures, maps, dashboards, scorecards, and accessible visualizations.
• Create reproducible code, data dictionaries, methods, benchmarks, and quality-control documentation.
• Communicate findings, limitations, discrepancies, and recommendations to technical and program audiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level