Public Health Data Analyst — Hybrid

NYC Department of Health and Mental Hygiene

New York (NY)

Hybrid

USD 85,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Loan forgiveness
Premium-free health insurance
Public pension plan
Tax-deferred savings program
Work From Home Policy
Worksite Wellness Program

Job summary

The NYC Department of Health and Mental Hygiene's Bureau of Public Health Clinics seeks a City Research Scientist I (Data Analyst) to analyze clinical data and support program evaluation. You will prepare routine reports and ad hoc analyses, and communicate findings with tables and visuals to inform decision making.

The role emphasizes equity and collaboration across a multidisciplinary team. Ideal candidates have strong skills in R and/or SAS, experience with relational databases, and a track

Qualifications

  • Master's degree required for Assignment Level I.
  • Doctorate or equivalent with relevant experience for higher levels.

Responsibilities

  • Analyze data from BPHC medical records to inform program planning and service delivery.
  • Prepare routine data reports for case management and quality metrics.
  • Operationalize data requests and prepare ad hoc reports and slide decks with clear visuals.
  • Produce standardized annotation, data dictionaries and documentation for analytic programs.
  • Contribute to program evaluation projects addressing equity in clinical service delivery.
  • Collaborate with a multidisciplinary team across the Bureau and Agency.

Skills

R programming
SAS programming
SQL
Data analysis
Data visualization

Education

Master's degree in public health or related field
Doctorate degree in related field

Tools

Relational databases

Job description

The NYC Department of Health and Mental Hygiene's Bureau of Public Health Clinics seeks a City Research Scientist I (Data Analyst) to analyze clinical data and support program evaluation. You will prepare routine reports and ad hoc analyses, and communicate findings with tables and visuals to inform decision making.

The role emphasizes equity and collaboration across a multidisciplinary team. Ideal candidates have strong skills in R and/or SAS, experience with relational databases, and a track

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