Environmental Data Visualization & Policy Analytics Lead

Clean Wisconsin; Madison (WI); Hybrid; USD 70,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

403(b) retirement plan with employer-m

Paid time off

Holidays

Commuter benefits

Job summary

Clean Wisconsin in Madison, WI is seeking an experienced Data Analyst and Visualization Manager. In this hybrid, in-person role, you will analyze complex data sets, create visualization tools (graphs, maps, infographics, GIS) and support advocacy through data storytelling.

You will bridge science and communications, reporting to the science program director, and partner with diverse teams to translate data into accessible narratives.

Qualifications

• Bachelor’s degree in Data Science, Data Visualization, Computer Science, Statistics, Geospatial Science, Business Analytics or equivalent experience.
• Proven ability to analyze and interpret complex data sets to reveal actionable insights.
• Experience creating data visualizations and narratives to support advocacy and policy goals.

Responsibilities

• Analyze data sets to support evidence-based advocacy and policy development.
• Create data visualization tools (graphs, charts, maps, infographics, GIS) to communicate findings.
• Prepare materials for websites, social media and other communications.
• Collaborate with diverse teams and communities to translate data into accessible stories.

Skills

Data analysis

Data visualization

GIS mapping

R

Python

Data storytelling

Team collaboration

Public health data

Education

Bachelor’s degree in Data Science

Tools

GIS software

Spreadsheet tools

Job description

Clean Wisconsin in Madison, WI is seeking an experienced Data Analyst and Visualization Manager. In this hybrid, in-person role, you will analyze complex data sets, create visualization tools (graphs, maps, infographics, GIS) and support advocacy through data storytelling.

You will bridge science and communications, reporting to the science program director, and partner with diverse teams to translate data into accessible narratives.