Data Analyst Lead
New
J
JobgetherPublic Health
Based in United StatesFull-TimeLead
Salary95,000 - 110,000 USD per year
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Job Details
- Experience
- Minimum of 10 years
- Required Skills
- Microsoft OfficeData management
Requirements
- Master’s degree in statistics, biostatistics, epidemiology, public health, data science, health informatics, or a related scientific or analytical discipline.
- Minimum of 10 years of relevant professional experience in public health analytics, evaluation, data management, biostatistics, or epidemiology.
- Advanced knowledge of public health research and evaluation principles, methods, concepts, and techniques.
- Demonstrated ability to conduct and interpret complex qualitative and quantitative analytical studies.
- Strong experience with implementation-related measures and linking implementation variables to program outcomes.
- Proven ability to develop structured analytical datasets, harmonize variables, clean and validate data, and document data-quality issues.
- Strong written and verbal communication skills, with the ability to translate complex findings into clear recommendations.
- Proficiency with Microsoft Office applications, including Outlook, Word, Excel, PowerPoint, Project, Teams, and SharePoint.
- Experience using and managing CDC administrative systems, including Human Subjects, OMB, IRB, and E-Clearance.
- Previous experience working with government procedures, requirements, and guidelines.
Responsibilities
- Lead complex qualitative and quantitative analytical studies, interpret findings, and provide expert recommendations to support public health program evaluation and improvement.
- Develop, integrate, clean, validate, and analyze evaluation datasets, ensuring analytical outputs are accurate, consistent, and reproducible.
- Analyze implementation-related measures such as reach, fidelity, dose, adaptation, and contextual factors, and assess their relationships with program outcomes.
- Conduct mixed-methods analyses that integrate qualitative and quantitative information to provide comprehensive program insights.
- Support performance measurement and data extraction activities, including APR data and DPRP encounter-data analysis.
- Integrate and analyze ADA/ADCES data, national-level secondary datasets, and other sources to support cross-site and program-level comparisons.
- Establish data-quality processes, identify and document data-quality issues, and track corrective actions.
- Communicate complex analytical findings through written reports, presentations, briefings, and technical memoranda.
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