Data Analyst I

Remote contractor position supporting the Centers for Disease Control and Prevention (CDC), Division of Diabetes Translation (DDT). Occasional travel to CDC facilities in Atlanta, GA required. U.S. citizenship is mandatory; sponsorship is not available.

About the Role

Provide data analytics and technical data management support to DDT’s mission of preventing type 2 diabetes and managing diabetes in high-risk populations. Responsibilities include data extraction, management, integration, and advanced analytics across cooperative agreement recipient programs.

Responsibilities

• Extract APR and performance measurement data; develop structured analytic datasets; standardize and harmonize variables across reporting cycles; maintain documentation of extraction procedures.
• Conduct systematic data cleaning and validation; identify missing or inconsistent data; implement reproducible validation scripts; document data quality issues and corrective actions.
• Compile DPRP encounter-level datasets; conduct descriptive and longitudinal analyses; analyze engagement and outcomes; generate standardized outputs and reproducible statistical code.
• Compile ADA and ADCES datasets; harmonize data elements; conduct cross-site comparative analyses; assess reach and outcomes.
• Identify and integrate relevant national-level secondary datasets; conduct comparative and contextual analyses; document limitations and assumptions; apply analytic methods to assess how implementation factors (e.g., reach, fidelity, adaptation) influence outcomes.
• Perform complex analytical studies using qualitative and quantitative methods; interpret results and coordinate evaluation of programs; recommend improvements informed by analysis.
• Work with implementation-related measures (e.g., reach, fidelity, dose, adaptation) and link implementation variables to outcomes.
• Analyze mixed-methods data, integrating qualitative and quantitative findings to support cross-task evaluation activities.
• Communicate findings orally and in writing through clear presentations, reports, and analytic summaries; advise program administrators and community members; interact with high-level officials and representatives from public and private public health organizations.
• Ensure all datasets and analytic deliverables meet data quality standards for accuracy, completeness, consistency, currency, precision, privacy, timeliness, and validity.
• Maintain documentation and reproducible code in CDC-recognized source code repositories; comply with Federal Source Code Policy requirements.
• Comply with all HHS/CDC security, privacy, records management, and Section 508 accessibility requirements, including annual HHS security awareness and privacy training and CDC Non-Disclosure Agreements.

Requirements

• Knowledge of public health research and evaluation principles, methods, and techniques to analyze, evaluate, and provide expert advice.
• Knowledge of principles, methods, and state-of-the-art technology in public health data analytics to guide critical and complex issues.
• Ability to perform complex analytical studies (qualitative and quantitative) and interpret results to recommend program improvements.
• Experience with implementation-related measures (e.g., reach, fidelity, dose, adaptation) and linking them to outcomes.
• Experience analyzing mixed-methods data (qualitative and quantitative integration).
• Strong oral and written communication skills to present findings, justify recommendations, and interact with high-level officials and stakeholders.
• Knowledge of rules, procedures, and principles governing program development, monitoring, and evaluation.
• Proficiency in Microsoft Office Applications (Outlook, Word, Excel, PowerPoint, Project, Teams, SharePoint).
• Ability to use and manage CDC Administrative Systems (HUMAN SUBJECTS, OMB AND IRB, E-Clearance).
• Previous experience working with government procedures and guidelines.

Qualifications

• Bachelor’s or master’s degree in public health, data science, biostatistics, epidemiology, health informatics, or a related field (preferred).
• Experience with statistical programming languages or platforms such as SAS, R, Python, or SQL (preferred).
• Experience with Power BI, MAXQDA, or similar data visualization and qualitative analysis tools (preferred).
• Familiarity with CDC data systems, including DPRP, APR platforms, or comparable public health data environments (preferred).
• Experience supporting federal public health data analytics programs at HHS, CDC, or comparable agencies (preferred).
• Subject matter knowledge of diabetes prevention, DSMES, or National DPP program data structures and reporting requirements (preferred).

Pay

Anticipated salary range: $70,000 – $110,000 annually.

Benefits

• Health Insurance (PPO & HDHP)
• Dental Insurance
• Vision Insurance
• Short-Term & Long-Term Disability
• Basic Life Insurance
• 401k Company Match
• Voluntary Products