Principal Data Analyst

📋 Description

• Design, build, and validate event-based foundational data models to serve as the single source of
• Build scalable datasets, dashboards, and monitoring systems in tools like Amplitude and Mode to
• Identify and implement AI-driven capabilities to enhance analytics workflows, improve
• Establish monitoring, alerting, and documentation to ensure accuracy, consistency, and reliability
• Scope, design, build, validate, and deploy analytics solutions — from raw data pipelines to
• Partner with stakeholders to understand their top use cases, deliver raw datasets and clean

🎯 Requirements

• 8+ years of experience building and scaling data models, pipelines, and self-serve analytics
• Expert-level SQL and strong experience with DBT or equivalent transformation frameworks.
• Hands-on experience with BI/self-serve tools such as Amplitude, Mode, or Looker.
• Deep understanding of event-based data modeling and instrumentation best practices.
• Strong experience building monitoring and alerting for data reliability.
• Ability to translate complex technical concepts into actionable insights for non-technical