Fundraising Analyst

About Democratic National Committee Tech Team

The Democratic National Committee’s Tech team is hiring a Fundraising Analyst to support our fundraising efforts to help Democrats win elections and to empower progressives across the country.

The Fundraising Analyst will report into the Analytics Lead and work with other  Analysts on the Data team. In addition, they will work in close partnership with teams across the DNC, including Mobilization (grassroots fundraising), Finance (major donor), and Compliance. They will conduct strategic analysis to maximize fundraising, partner with program leads to improve operations, and serve as a fundraising technology subject matter expert for the organization.

We are a fully remote, distributed team living in 19 states and from a variety of backgrounds. Some of us have worked in political campaigns, others in public sector tech, and others in industry. We value diversity in perspective, lived experience, and the many paths one may take into working in political technology. We believe deeply in the promise of breaking the boom-bust cycle of political tech work and building technology infrastructure that will support campaigns from cycle to cycle and will improve with every iteration.

We’re focused on equipping our fundraising teams with the data-backed strategy and insights they need to operate intelligently and efficiently, and are looking for a Fundraising Analyst with a diverse range of backgrounds and skill sets to help us tackle numerous projects. Whether you have a for-profit background in Analytics Engineering with an analytical mindset or you’ve worked in political or non-profit fundraising before, we’d love to talk to you. 

Good candidates are extremely detail-oriented while able to move quickly to respond to events or stakeholder needs without sacrificing quality. On a day-to-day basis, our team cares about things like designing tools and reports to enable smarter decision-making, and optimizing messaging and targeting across channels and audiences, to name a few.

Among other things, core responsibilities of this role include:

• Strategic Analysis: Perform analysis to understand trends in engagement, areas of program strength, and opportunities for improvement; turn this analysis into actionable insights to optimize where we are focused over time.
• Orchestrate Pipelines: Manage finance data synced from multiple platforms, create data structures that aggregate and standardize fundraising data for analysis and reporting.
• Maintain Models: Run and validate fundraising models produced by Data Science team

In addition, this role may also include:

• Lead Experimental Design: Recommend and design experiments to optimize fundraising efforts including, but not limited to, A/B testing on digital campaigns and to direct mail audiences. 
• Reporting: Build and maintain automated reporting to empower our team with key insights into program performance. Work with engineering teams to consult on data products that can be used to streamline reporting code.
• Automation: Work with Tech Team stakeholders to develop products that streamline repetitive processes, such as targeting, universe development, and list movement between tools; consult on data products that can be used to streamline reporting code and other system automation.
• Ad Hoc Work: Manage ad hoc data requests from stakeholders, ensuring quick turnaround while maintaining data accuracy and quality.

• You write clean, well-organized SQL and know how to structure reusable data pipelines.
• You’ve worked with large, complex datasets—especially those that weren’t tidy to begin with.
• You enjoy building things with others, not just for them, and believe the best products come from thoughtful partnerships.
• You’ve used tools like dbt or Airflow to build and maintain production workflows. These could include tools like Dagster, Databricks, AWS Glue, or Dataform. 
• You’re comfortable with the Google Cloud Platform, especially BigQuery and GCS.
• You can explain technical tradeoffs clearly to both engineers and non-technical collaborators.
• You’ve worked in fast-paced environments where priorities shift quickly.
• You’ve spent time on a campaign or you've worked with political data before.

• You have experience working with political data like state voter files, election results, or data on voter, volunteer, or donor engagement.
• You have direct experience with voter databases and outreach software such as VAN/ Votebuilder, Scale to Win, or Reach.
• You have an understanding of how to (and how not to) use predictive modeling, such as Turnout and Support scores.

Salary:

The salary for the Data Analyst position is $84,000 on an annualized basis, commensurate with experience and qualifications.

This is a full-time, exempt position, that may require work on weekends, and is fully remote. This position is in the bargaining unit represented by SEIU Local-500.

The Democratic National Committee (DNC), is committed to diversity among its staff, and recognizes that its continued success requires the highest commitment to obtaining and retaining a diverse staff that provides the best quality services to supporters and constituents. The DNC is an equal opportunity employer and it is our policy to recruit, hire, train, promote and administer any and all personnel actions without regard to sex, race, age, color, creed, national origin, religion, economic status, sexual orientation, veteran status, gender identity or expression, ethnic identity or physical disability, or any other legally protected basis. The DNC will not tolerate any unlawful discrimination and any such conduct is strictly prohibited.

Benefits:

The DNC offers a generous benefit package, including:

• Generous paid time off, including federal holidays and open leave
• Health and dental insurance for employee and dependents; 90% paid by the DNC, 10% paid by employee
• Supplementary vision plans available to employees for purchase
• Up to a 5% employer match DNC 401(k) plan
• Pre-tax flexible spending account benefits available to employees and dependents