Remote Fundraising Data Analyst

Democratic National Committee; United States; Remote; USD 75,600 - 92,400; Full time

Benefits offered by this job

PTO and holidays

Health and dental insurance

Vision plans

401(k) with employer match

Flexible spending accounts

Job summary

Democratic National Committee’s Tech Team is seeking a Fundraising Analyst to support data-driven fundraising strategies and optimize campaigns across channels. You will join a distributed remote team, report to the Analytics Lead, and partner with Mobilization, Finance, and Compliance to drive insights and data products.

The role emphasizes building scalable data pipelines, validating models, and delivering automated reporting.

Qualifications

• Write clean, well-organized SQL and build reusable data pipelines.
• Experience with large, complex datasets and unclean data.
• Experience with modern data tooling and cloud platforms.

Responsibilities

• Perform strategic analysis to identify trends and opportunities for fundraising optimization.
• Orchestrate pipelines by aggregating and standardizing fundraising data from multiple platforms.
• Maintain and validate fundraising models produced by Data Science teams.
• Lead experimental design for optimizing fundraising efforts including A/B testing.
• Build and automate reporting to empower teams with actionable insights.
• Collaborate with Tech and program teams to streamline data products and automation.
• Manage ad hoc data requests with quick turnaround and data accuracy.

Skills

SQL

Data pipelines

Large datasets

Partnerships

Campaign data

Tools

dbt

Airflow

Dagster

Databricks

AWS Glue

Dataform

BigQuery

GCS

Job description

Democratic National Committee’s Tech Team is seeking a Fundraising Analyst to support data-driven fundraising strategies and optimize campaigns across channels. You will join a distributed remote team, report to the Analytics Lead, and partner with Mobilization, Finance, and Compliance to drive insights and data products.

The role emphasizes building scalable data pipelines, validating models, and delivering automated reporting.