Data Analyst
Data Analyst
Position Summary
Key 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.
Minimum Qualifications
- Education: Bachelor's degree.
- Experience: 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.
Preferred Qualifications
- Prior experience supporting CDC, HHS, another federal health agency, a public health recipient network, or a comparable mission-focused organization.
Core Competencies
PCI Federal Services (PCIFS) and its subsidiaries is an equal-opportunity employer. PCIFS does not discriminate on the basis of age, sex, race, national origin, religion, marital status, sexual orientation or identity, Veterans or Disability status.
Preference may be extended to qualified Native American Indian candidates
in accordance with applicable federal law.