Transit Data Analyst — Dashboards, GIS & Open Data

Vermont League of Cities and Towns; Burlington (VT); On-site; USD 53,500 - 63,500; Full time

Benefits offered by this job

Wage: $53,500–$63,500 annually

Paid time off 8.67 hours per pay or 5+

Health coverage: GMT-paid

Retirement: 457 plans with GMT matches

Wellness: gym discounts

Dog-friendly workplace

Job summary

Green Mountain Transit (GMT) seeks a Transit Data Analyst to collect and analyze transit data to support service planning and organizational decisions in Vermont. The role emphasizes developing dashboards and automated workflows while maintaining data quality for internal and external stakeholders.

Ideal candidates will have experience with R or Python, GIS, data visualization tools, and API integration, plus strong communication and organizational skills.

Qualifications

• Bachelor’s degree or equivalent experience in a related field and ability to analyze large data sets.
• Experience with writing comprehensive documents and reports.
• Experience with statistical programming languages and data visualization tools.

Responsibilities

• Collect, analyze, and manage transit data to support service planning and operations.
• Develop dashboards, automated workflows, and open data resources.
• Ensure data quality, integrity, and timely reporting for stakeholders.
• Prepare reports, plans, and public-facing materials.
• Collaborate with staff, board members, and community partners.

Skills

R (tidyverse)

Python (pandas)

Data visualization

APIs integration

GIS concepts

HTML/CSS/Quarto basics

Communication

Organizational skills

Education

Bachelor’s Degree in Mathematics/Planning/Public Administration/CS or related field

Tools

ggplot2

Plotly

Datawrapper

ArcGIS

QGIS

Git/GitHub

Job description

Green Mountain Transit (GMT) seeks a Transit Data Analyst to collect and analyze transit data to support service planning and organizational decisions in Vermont. The role emphasizes developing dashboards and automated workflows while maintaining data quality for internal and external stakeholders.

Ideal candidates will have experience with R or Python, GIS, data visualization tools, and API integration, plus strong communication and organizational skills.