Health Data Analyst: Tableau Dashboards & Insights

NYU Grossman School of Medicine; New York (NY); On-site; USD 66,300 - 79,023; Full time

Job summary

NYU Grossman School of Medicine’s Brooklyn Data Station seeks a Data Analyst to support data management, analysis, visualization, and communication of findings focusing on NYC neighborhoods and Long Island.

You will collaborate with researchers, clinicians, and community partners to develop user-driven visualizations and reports, build dashboards in Tableau, and contribute to multi-lingual survey tools and analytic datasets.

Qualifications

• Master’s degree in statistics, biostatistics, epidemiology, data science, health services, public health, economics, or public policy.
• Minimum of 2 years of relevant work or research experience.
• Strong quantitative and programming skills (R, Python, SQL, SAS). Proficiency with data visualization tools.
• Familiarity with medical coding systems (ICD, CPT, LOINC, SNOMED).

Responsibilities

• Support development and maintenance of Tableau dashboards.
• Conduct descriptive data analysis from clinical and community-level data sources.
• Collaborate with faculty, staff, and community partners to develop user-driven data visualizations and reports.
• Prepare and present results to a variety of audiences.
• Support efforts to monitor and track Brooklyn Data Station request processes.
• Build and engineer workflows to access and manage data from secondary data sources.
• Support development of primary data collection tools through REDCap, including multi-lingual surveys, and create and manage analytic datasets and related codebooks.

Skills

R

Python

SQL

SAS

Data visualization

Education

Master’s degree in statistics/biostatistics/public health/data science

Tools

Tableau

REDCap

Job description

NYU Grossman School of Medicine’s Brooklyn Data Station seeks a Data Analyst to support data management, analysis, visualization, and communication of findings focusing on NYC neighborhoods and Long Island.

You will collaborate with researchers, clinicians, and community partners to develop user-driven visualizations and reports, build dashboards in Tableau, and contribute to multi-lingual survey tools and analytic datasets.