Data Analyst
$70,482–$83,475 year
HybridNew York, United States
Job Summary
Retrieve, analyze, and evaluate health metric data parsed to various geographic boundaries for interactive websites, addressing sample size, bias, and timeliness. Explore new geospatial calculation methods, monitor administrative boundary updates, and generate geographic boundaries for release. Document workflows and methodological challenges across geographies while regularly presenting analytic processes to team members. Produce analysis for data visualizations, blogs, journal articles, and policy briefs, including drafting sections as needed. Provide background research, code development, and workflow testing for data infrastructure systems, maintaining existing R functions and SQL databases. Obtain and wrangle data, write code, and conduct metric validation for new research processes. This hybrid position requires weekly commuting to mid-town Manhattan. A master's degree in biostatistics, epidemiology, or public health is required, along with strong R programming skills.
Required Qualifications
- A masters degree in a related field (biostatistics, epidemiology, public health) or equivalent combination of education and experience
- Skill and experience in the R statistical programming software
- Familiarity with commonly used public health metrics
- Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts, etc.)
- Experience in R tidyverse packages, writing functions in R, SQL, and Git
- Demonstrated interest in public health and health equity
- Ability to perform basic statistical and descriptive analyses and interpret the results
- Ability and interest in working respectfully, reliably, and collaboratively with other team members on multiple projects simultaneously
- Ability to be detail-oriented, organized, and take initiative on projects
- This is a hybrid position. Candidates must be willing and able to commute to mid-town Manhattan at least once per week
- Qualified candidates must be able to effectively communicate with all levels of the organization
Desired Qualifications
- 2-3 years' work, internship, or project experience in an analytics role
- Familiarity with major US federal datasets
- Ability to read manuscripts and technical documents and assess the validity of methodological approaches
- Experience and interest in working with various types of geospatial data and performing common spatial manipulations (intersects, centroids, reprojections, buffers, etc.)
- An attitude of creative and collective problem solving and openness to new ideas
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