PCI Professional Services LLC

Data Analyst

PCI Professional Services LLC Atlanta, Georgia, United States · $95K–$130K/yr

Government Administration · 501-1,000 employees

3 h ago
data-analyst Senior (5-10 yrs) Full-time United States
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About the role

The Data Analyst will conduct public health data management, surveillance, and statistical analysis to support scientific and programmatic decisions. Responsibilities include cleaning datasets, developing visualizations, and creating reproducible documentation for technical and program audiences.

What they look for

Data management Surveillance analysis Statistical analysis Visualization R Python SAS SQL GIS Data cleaning Quality assurance Technical documentation Epidemiology Policy analysis Dashboard development Reproducible research

Requirements

Candidates must hold a bachelor's degree and possess at least 5 years of experience in public health, epidemiology, or large-scale research data analysis. Proficiency in tools such as R, Python, SAS, SQL, or GIS is strongly preferred.

Full description

Data Analyst

Position Status: Contingent upon contract award.

Position Summary

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.

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

Public service orientation; technical credibility; cultural responsiveness; collaboration; clear communication; accountability; adaptability; quality focus; sound judgment; and the ability to work effectively with CDC staff, recipients, partners, subcontractors, and subject matter experts.

 

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.

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