Civic Data Analyst: Sustainable Mobility & Impact

Mannik Smith Group; Minneapolis (MN); Hybrid; USD 65,000 - 77,000; Full time

Job summary

Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Minneapolis office. The role focuses on turning civic data into actionable insights for multimodal transportation planning, with emphasis on equity, safety, and environmental resilience.

The candidate will develop repeatable analyses in Python/R and GIS, collaborate across disciplines, and contribute to analytical product development and client deliverables.

Qualifications

• Bachelor’s degree in a quantitative field or planning/engineering with software/data science exposure.
• Proficiency in Python and/or R, SQL
• Proficiency in quantitative analysis and data interpretation
• Strong written and verbal communication skills.

Responsibilities

• Develop prototypes of repeatable analysis in R, Python, and GIS.
• Lead development of analytical products aligning with firm objectives.
• Collaborate with planners, designers, and engineers on data analysis and visualization.
• Automate labor-intensive analyses to create organization-wide value.
• Work on diverse mobility projects and present data-driven narratives.

Skills

Python

R

SQL

Quantitative analysis

Data-driven decision making

Communication skills

Education

Bachelor’s Degree in Statistics, Mathematics, Computer Science or another quantitative field

Bachelor’s Degree in Planning, Landscape Architecture, Environmental Sciences, or Engineering with some experience in software development and/or data science

Master’s Degree in Urban Planning, Statistics, Data Science, Engineering, Math, or Social Sciences

AICP Certification

Tools

PostGIS

QGIS

ArcGIS Pro

geopandas

Flask

Django

FastAPI

Tableau

PowerBI

R-Shiny

Job description

Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Minneapolis office. The role focuses on turning civic data into actionable insights for multimodal transportation planning, with emphasis on equity, safety, and environmental resilience.

The candidate will develop repeatable analyses in Python/R and GIS, collaborate across disciplines, and contribute to analytical product development and client deliverables.