Hybrid Public Health Survey Data Analyst

Healthsolutions

New York (NY)

Hybrid

USD 82,000 - 100,000

Full time

3 days ago
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Benefits offered by this job

Hybrid Work Schedule
Generous Paid Time Off and Holidays
Medical, Dental and Vision
403(b) + employer matching
College Savings Plan

Job summary

Public Health Solutions, the fiscal and administrative manager for NYC DOHMH, seeks a Survey Data Analyst in Long Island City with hybrid work options. You will support data operations, cleaning, and analysis for the NYC Health Panel and related surveys.

Requirements include a Master’s degree and at least two years of data management or research experience; proficiency with SAS, R, and SQL is preferred. The role emphasizes collaboration and health equity.

Qualifications

  • Master's degree from an accredited college or university with at least two years of data management or research experience.
  • Experience in data cleaning and data management; health survey development is a plus.

Responsibilities

  • Create datasets from raw survey data including merging, cleaning datasets and variables, with recodes, labels, and formats.
  • Create analytic and final datasets, codebooks, and other supporting documentation.
  • Use SAS and SQL to create and maintain survey implementation datasets, including invitation distribution lists and processing withdrawals.
  • Assist with requests for data analysis, data checking, or other related support as needed.

Skills

R
SAS
SQL
Data cleaning
Data management

Education

Master's degree

Tools

SQL databases
SAS

Job description

Public Health Solutions, the fiscal and administrative manager for NYC DOHMH, seeks a Survey Data Analyst in Long Island City with hybrid work options. You will support data operations, cleaning, and analysis for the NYC Health Panel and related surveys.

Requirements include a Master’s degree and at least two years of data management or research experience; proficiency with SAS, R, and SQL is preferred. The role emphasizes collaboration and health equity.

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