Data Analyst

Summary

The Data Analyst will support the Newcomb Institute’s gender equity research agenda by identifying, acquiring, managing, and analyzing publicly available U.S. government datasets related to demographics, health and health care access, labor force participation, and occupational sectors, with a focus on Louisiana and the Gulf South. This position is responsible for building and maintaining clean, well‑documented datasets; producing descriptive analyses; generating maps and data visualizations;

and supporting research projects, reports, and grant proposals that advance Newcomb Institute’s mission. The Data Analyst will collaborate with the Director of Research and project teams to ensure high‑quality, accurate, and timely data work, under the direction of the Executive Director. This role requires strong organizational skills, attention to detail, and the ability to manage multiple concurrent tasks.

• Ability to identify, vet, and interpret legitimate federal and state public data sources.
• Skill in data cleaning, filtering, and organization using Microsoft Excel and Python.
• Ability to create data visualizations and maps using ArcGIS.
• Capacity to recognize limitations and methodological constraints of different datasets.
• Strong attention to detail and consistency in data processing.
• Ability to communicate effectively with supervisors and colleagues.
• Flexibility and creativity in adapting to evolving project needs.
• Ability to manage multiple deadlines, structure tasks, and work independently.
• Foundational understanding of public health, economic, and social issues relevant to gender equity.

• Bachelor’s Degree in Economics, Data Science, Sociology, Geography, Political Science, Public Health, Statistics, or related field.
• One (1) year of experience working with publicly available U.S. datasets (e.g., Census/ACS, CPS, BLS, BRFSS, NHIS, SIPP, HUD, HRSA, etc.). Relevant coursework, research assistantships, or internships may substitute for formal work experience.

• Prior experience supporting academic or applied public health research.
• Demonstrated ability to analyze large datasets and maintain organized workflows.
• Experience producing data‑driven reports, briefs, or presentations.
• Familiarity with gender equity issues in Louisiana, the Gulf South, or the U.S. more broadly.
• Experience with geospatial analysis beyond basic visualization (e.g., layering, spatial joins).
• Ability to work collaboratively as part of cross‑disciplinary research teams.
• Experience working with or serving diverse communities.

Entry level

Full‑time

Information Technology

Higher Education