Analytics Engineer, Perplexity AI

• Have 6-8+ years of professional experience as an analytics engineer, data engineer, data scientist, or closely related role
• SQL expert
• Experience in data modeling, including dimensional modeling and analytics engineering best practices
• Experience creating high-impact dashboards and visualizations using BI tools (e.g., Omni, Mode, Hex, Looker, or similar)
• Have prior experience in fast-paced, rapidly scaling environments
• Comfortable working autonomously, taking projects from concept through execution with minimal oversight
• Familiarity or experience with Databricks

Desirable

• As our first Analytics Engineer, you’ll be instrumental in defining and building our analytics infrastructure, ensuring data is reliable, accessible, and drives critical business decisions across the company
• You’ll play a key role in shaping how we use data at Perplexity, contributing directly to our mission of becoming the world’s most knowledge-centric company
• Perplexity is building the next-generation answer engine, empowering our users to find information more effectively
• Design and build core data models to improve analysis efficiency, enabling rapid, reliable insights for teams
• Define and champion data modeling standards and best practices using tools like dbt
• Boost data team productivity by improving tooling, automating workflows, and streamlining processes
• Own decisions on tooling selection, balancing build vs. buy and managing vendor relationships when necessary
• Partner closely with Data Scientists to ensure analytics requirements are clearly understood and effectively implemented
• Develop and maintain critical dashboards and reporting to track business health and enable better decision-making
• Lead data governance efforts, ensuring security, compliance, and quality standards are consistently met