Application Guide
How to Apply for Experimentation Data Analyst, Party At The Polls
at Civic Nation
🏢 About Civic Nation
Civic Nation is an impact hub that strengthens civic culture, civic power, and civic participation. Its initiative When We All Vote is a national, nonpartisan effort to increase voter participation and close voting gaps. Working here means contributing to a mission-driven organization that uses data to drive real-world change in elections.
About This Role
As an Experimentation Data Analyst, you will ensure rigorous experimental design and analysis for Civic Nation's voter turnout programs. You will cut universes for partner engagement, analyze post-election data to measure program effectiveness, and help prioritize sites for future programming. Your work directly informs strategies to increase voter participation.
💡 A Day in the Life
You might start by querying BigQuery to update a table with new voter contact data, then analyze results from a recent randomized experiment to assess turnout impact. After a team standup, you'd cut a universe for an upcoming partner activation and document your methodology to ensure reproducibility.
🚀 Application Tools
🎯 Who Civic Nation Is Looking For
- Has 1+ years of analyst experience (including internships) with strong SQL skills and comfort with large datasets like voter files.
- Possesses experience with R or Python and BigQuery for data manipulation and analysis.
- Understands experimental design, causal inference, and geographic data analysis—preferably applied to voter data.
- Is detail-oriented and passionate about using data to support nonpartisan civic engagement.
📝 Tips for Applying to Civic Nation
Tailor your resume to highlight SQL and any experience with voter files or experimental design—mention specific projects.
In your cover letter, explicitly connect your quantitative skills to the mission of increasing voter participation.
If you have experience with BigQuery or cloud-based data warehouses, mention it prominently.
Showcase any work with A/B testing, randomized controlled trials, or causal inference methods.
Demonstrate familiarity with When We All Vote's programs and how data informs their strategy.
✉️ What to Emphasize in Your Cover Letter
['Your technical proficiency in SQL and R/Python for data analysis.', 'Your understanding of experimental design and causal inference, especially in a field setting.', 'Your commitment to nonpartisan voter engagement and how your skills can advance that mission.', 'Any experience working with large, messy datasets (e.g., voter files) and delivering actionable insights.']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Review When We All Vote's website and recent reports or blog posts about their programs and impact.
- → Understand the basics of voter file structure and common variables (e.g., turnout scores, demographics).
- → Read about Civic Nation's other initiatives and how they integrate data across programs.
- → Familiarize yourself with best practices in field experimentation and get-out-the-vote research.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Failing to show specific interest in the nonpartisan mission—avoid generic statements about 'data analysis'.
- Overlooking the need for experimental rigor; don't just talk about descriptive analytics.
- Not preparing for a technical SQL or R/Python exercise—be ready to write queries or explain a model.
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!