The posting, in DLH's own words
archived Oct 30, 2026About Us
DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that “Your Mission is Our Passion” and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview DLH Corp is looking for a Public Health Data Analyst using R, Power BI, and SAS to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC) in Atlanta, GA. This is a hybrid work environment based out of Atlanta. Teleworking most days with visits to the CDC campus for in-person meetings and office visits. CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. As such, DLH is seeking an Atlanta-based Data Analyst with the following skills:
Responsibilities
Conduct geospatial and molecular HIV analysis and interpret results using R, SQL, or Python. Work collaboratively with other analysts to develop novel code in support of analyses. Support dissemination and reporting of data to internal and external partners. Review data error logs to ensure that requested data modifications are done according to the protocol. Review the data files to document problems and proposed corrections needed to be made to finalize the data set. Document problems with the R program and any proposed corrections needed to finalize the data. Merge data from different sources into spreadsheets; conduct necessary steps to ensure quality of the resulting merge. Assist with developing data management processes and protocols. Provide updates to team members regarding the status of projects. Develop from the ground up or manage previously created dashboards within Power BI.