Public Health Data Analyst — Insights & Dashboards

PCI Professional Services; United States; Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

PCI Federal Services (PCIFS) in the United States seeks a data analyst to conduct reproducible public health data management, surveillance and statistical analyses to support DNPAO decisions. The role works with datasets such as NHANES, NHIS, BRFSS, YRBS, NIS, mPINC, NSCH, GIS, and policy-text data using R and Python.

You will acquire, clean, transform, merge, and maintain datasets; perform descriptive and inferential analyses; and develop tables, figures, maps, dashboards, and scorecards with

Qualifications

• Bachelor's degree required.
• 5+ years of public health data analysis experience preferred; experience with NHANES/NHIS/BRFSS or similar datasets is a plus.
• Proficiency with R, Python, SAS, SQL and data visualization tools is strongly preferred.

Responsabilités

• Acquire, clean, transform, merge, validate, and maintain public health and program datasets.
• Conduct descriptive, inferential, regression, trend, geospatial, policy, or other 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.

Connaissances

Strong written and verbal comms

Client-service skills

Formation

Bachelor's degree

Outils

R

Python

SAS

SQL

Power BI

Tableau

GIS

Description du poste

PCI Federal Services (PCIFS) in the United States seeks a data analyst to conduct reproducible public health data management, surveillance and statistical analyses to support DNPAO decisions. The role works with datasets such as NHANES, NHIS, BRFSS, YRBS, NIS, mPINC, NSCH, GIS, and policy-text data using R and Python.

You will acquire, clean, transform, merge, and maintain datasets; perform descriptive and inferential analyses; and develop tables, figures, maps, dashboards, and scorecards with