Public Health Data Analyst — Epidemiology & Visualization

State of Colorado; Denver (CO); On-site; USD 75,000 - 95,000; Full time

Benefits offered by this job

Medical and dental plans

Colorado PERA retirement options

Optional 401(k) and 457 plans

Employer-paid life insurance

Disability coverage

Tuition assistance

Employee wellness programs

Job summary

Colorado Department of Public Health and Environment (CDPHE) seeks a Statistical Analyst II to serve as an epidemiological consultant within the Data Analytics Unit of the DAPER Program. You will analyze population, claims, and surveillance data using SAS, R, Python, and SQL, and develop dashboards and reports for state and national audiences.

You will collaborate with internal staff and external partners to ensure data quality, interoperability, and effective communication of results.

Qualifications

• Six (6) years of relevant experience in data analysis and data management with Python, R, SQL or SAS.
• Experience in statistical analysis and interpreting population, claims, and surveillance data.
• Experience with public health data and creating dashboards/reports.

Responsibilities

• Independently provide epidemiological, scientific, and technical data support for the Program and Office.
• Perform statistical analyses and use software to analyze population, claims, and surveillance data.
• Create dashboards, presentations, and reports to illustrate data and results for diverse audiences.
• Maintain interoperability of Office databases and support data quality initiatives.
• Communicate findings to internal staff, partners, and stakeholders.

Skills

Python

R

SQL

SAS

Data visualization

Public health data

Education

Public Health / Mathematics / Statistics / CS / Economics degree

Tools

BigQuery

Tableau

Power BI

Job description

Colorado Department of Public Health and Environment (CDPHE) seeks a Statistical Analyst II to serve as an epidemiological consultant within the Data Analytics Unit of the DAPER Program. You will analyze population, claims, and surveillance data using SAS, R, Python, and SQL, and develop dashboards and reports for state and national audiences.

You will collaborate with internal staff and external partners to ensure data quality, interoperability, and effective communication of results.