Data Engineer

• Help with data management, transformation, analysis and visualization; choose, implement, maintain, and monitor optimal tools
• Automate ingestion of data from multiple sources (e.g., Google Sheets, APIs, internal systems) into BigQuery
• Design, build, and maintain scalable data pipelines and workflows in BigQuery; ensure data accuracy, consistency, and reliability
• Perform descriptive and diagnostic exploratory analyses to uncover trends, patterns, and insights
• Build dashboards, reports, and visualizations (e.g., in Looker Studio, Tableau) to support decision-making
• Partner with stakeholders to define key business metrics and create systems for daily, weekly and monthly tracking
• Translate complex datasets into clear, actionable insights for both technical and non-technical audiences
• Collaborate with product, content, marketing, philanthropy, and analytics teams across time zones

Data Engineering and Analytics Lead

Data Architect