Analytics Engineer

As our second 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. We are headquartered in San Francisco, and on a hybrid schedule with in-office days on Monday, Wednesday, Friday.

Responsibilities

• 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

Qualifications

• 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.

Bonus

• Experience with dbt

• Comfortable with Python

• Experience with Snowflake administration and optimization

• Familiarity or experience with Databricks

• Previous experience as an early or first analytics engineer in a high-growth startup