Analytics Engineer - SF

Posted 9 Days Ago
Be an Early Applicant
7 Locations
Mid level
Artificial Intelligence • Software
The Role
As the first Analytics Engineer, design and build analytics infrastructure, ensuring data reliability and accessibility to drive business decisions. Collaborate on data modeling and dashboard creation while leading data governance efforts.
Summary Generated by Built In

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 4+ 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 - $250,000

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.

To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.

 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 is part of the total compensation package.

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

 

 

Top Skills

Bi Tools
Databricks
Dbt
Python
Snowflake
SQL
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The Company
HQ: San Francisco, California
41 Employees
On-site Workplace
Year Founded: 2022

What We Do

The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.

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