← Back to jobs

Analytics Engineer

This listing is synced directly from the company ATS.
Remote

Role Summary

The Analytics Engineer at Perplexity will design and build core data models to enhance analysis efficiency, ensuring data reliability and accessibility for critical business decisions. This senior role involves close collaboration with data scientists to understand analytics requirements and leads efforts in data governance. The hire will significantly impact the company's mission by shaping its data usage and infrastructure.

Benefits & Culture

This remote position offers a competitive salary range of $200,000 to $300,000, with potential equity as part of the compensation package. Employees enjoy comprehensive health, dental, and vision insurance, along with a 401(k) plan. The culture promotes autonomy and innovation, with the expectation of working in a fast-paced, rapidly scaling environment.

⚠️ This job was posted over 8 months ago and may no longer be open. We recommend checking the company's site for the latest status.

Full Job Description

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. 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

The cash compensation range for this role is $200,000 - $300,000.

 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.


Equity: In addition to the base salary, equity may be part of the total compensation package.

Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.



Similar jobs

Found 6 similar jobs