Data Analyst, Research Team

• Support the design, execution, and continuous improvement of the study's quality control system, reporting to the project’s Data Director.
• Monitor daily canvassing data, flagging potential data quality issues.
• Create and maintain automated quality control (QC) checks and dashboards, tracking data quality and performance trends over time.
• Translate QC insights into clear, actionable feedback for field staff, supporting iteration to training and scripts.
• Support audio QA workflows, including synthesizing recordings, reviewing flagged interactions, and improving existing script flow.  
• Maintain organized documentation of QC processes to support transparency and ability to reproduce inclusion/exclusion criteria.
• Prepare cleaned and QC-reviewed datasets for analysis.
• Support the Deputy Director of Research and other team members with other responsibilities where needed. 

• Data Wrangling. Job experience with automated data processing and review OR at least one cycle in a field data management role (electoral campaign, paid canvassing, or allied organization preferred). 
• Problem Solving. Able to jump in and fix anything that goes wrong or breaks (something will). Practical and realistic about identifying and implementing solutions. 
• Adaptive Tool Use. Ability to learn to use new tools and practically apply them to repeatable processes. In addition to new tools and generative AI, the Data Analyst must have experience with the platforms below.
• Proficiency in R or SQL, with the ability to clean, manipulate, and validate large datasets efficiently
• Proficiency in Google Docs and Sheets, and willing to learn tools for team chat (Slack) and task tracking (Asana). 
• High Quality Bar. Ability to translate complex data findings into actionable insights for non-technical stakeholders. This includes the entire process from data cleaning to reasonable synthesis to effective communication.  
• Research Mindset. Willing to learn about research methods (voter interviews, observation, testing) and quickly adapt canvassing practices based on learning. Direct research experience is not required, just excitement about trying new things and learning from both successes and failures!
• Availability. 
• Work a regular Tuesday-Saturday work schedule and be flexible to changes closer to Election Day.
• Be available to work daily during the core hours of 10am-4pm PST and be flexible to work different hours occasionally.

• Experience or familiarity with Michigan and/or Ohio political landscapes and community issues
• Familiarity with experimental design concepts

• Commitment to the mission of the organization: to design and quickly mainstream field-tested voter engagement innovations to amplify the power of historically disenfranchised communities
• Commitment to understanding and actively opposing racism and promoting equity 
• Commitment to working with and for teams of diverse individuals and to reducing disparities in whose voice is heard in the electoral space
• Demonstrated awareness of one’s own cultural identity and ability to build relationships and collaborate across lines of difference

This team's work will support a unique blend of canvassing work, design, and behavioral science research. Vote Rev Action Fund has the ability to mainstream the tactics you'll work on across many top campaigns and organizations, potentially generating an election-changing number of votes in 2026, 2028, and beyond! 

Submit your application by May 27, 2026.

The application includes:

• Basic personal information and eligibility questions
• Two short essay responses
• A deliverable describing your relevant data experience
• A resume upload

We expect this hiring process will move very quickly and seek to set clear expectations about the included steps. Not all candidates will progress through all stages.

Phone Interviews - Late May/Early June

Final Interviews via Zoom - June 17 - 18

Reference Checks and Offers - Late June

Start Date - July 13