Data Analyst Save

The Redistricting Data Hub (RDH) is an essential source of high quality redistricting data and support for working with the data. As a data analyst at RDH, you will become familiar with the nuances of working with geospatial data, election results, and other key datasets. The datasets you produce will be used by RDH stakeholders and many will be incorporated directly into Dave's Redistricting App. Responsibilities include:

• Collecting and collating data from various sources, including but not limited to: the US Census Bureau, voter file vendor data, Secretary of State's Offices, and other state and local governments to produce statewide datasets on election results and demographic variables.
• Creating and enhancing extant python workflows to engineer said data. These data exist as both large tabular and geospatial datasets. Frequently working in jupyter notebooks for transparency and legibility to external audiences
• Supporting other team members to provide census, voter file, or custom datasets on an ad hoc basis
• Working with the DRA team to streamline their existing Python/JavaScript data ingestion pipeline.

What We’re Looking For

Please note that this is a strictly nonpartisan project. Applicants of all political leanings are welcome to apply, but will be expected to comport themselves in a strictly professional and nonpartisan manner while performing Redistricting Data Hub responsibilities. The RDH is an equal opportunity employer, and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, ancestry, gender identity, gender expression, physical or mental disability, religion, genetic information, height, weight, military and veteran status, or other protected category in employment.

Prior political or redistricting experience is neither expected nor necessary. The position will include training to give you necessary background on redistricting. The list of key skills attempts to communicate all the skills we are interested in, and approximates order of importance. We do not expect a single candidate to have experience in every area, and if you are interested in the role and feel you meet at least 5 of the items on the list, please do apply.

Key skills and experiences

• Comfortable working remotely on a small team
• Highly self-directed and self-motivated
• Strong attention to detail
• Experience with data analysis, including cleaning, processing, and interpreting datasets
• Familiarity with extract, transform, and loading (ETL) processes
• Experience with Python, especially Pandas and Geopandas

How to Apply

Applications are only accepted via email - please view the full job description for application requirements and additional details.

We are currently accepting applications through Friday, May 1, 2026. We will review applications for completeness on an ongoing basis, but not move forward with the application process prior to this date.