Analytics Engineer
Core
Transform internal data into analysis-ready forms, scrape public data, and improve data pipelines to support evidence-based decision-making for litigation, advocacy, and supporter engagement.
Role type
Analytics Engineer (Data Modeling & ETL)
Builds
Scalable data models, Python ETL pipelines, and data pipelines for CRM migration
Domain
Non-profit / Civil Liberties / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Data Warehousing, ETL, Data Modeling, BI Tools, CRM Systems
Preferred skills
dbt, Orchestration Tools (Dagster/Airflow), AWS, Unix/Linux, Docker, Git
Technologies
dbt, Dagster, Redshift, Hex, Tableau, Looker, Salesforce, Blackbaud, VAN, AWS S3
Responsibilities
Design and maintain scalable data models for reporting and BI; Build and orchestrate Python ETL pipelines; Scrape data from public websites; Collaborate on CRM migration and data model rebuilds; Ensure high-quality data availability for stakeholders; Define and document consistent business data practices; Provide data support for legal crises and campaigns.
Seniority
Mid-Senior, hands-on IC