Analytics Engineer
Job Summary
Job Description
As the first Analytics Engineer at Perplexity, you will define and build the analytics infrastructure, ensuring data is reliable and accessible to drive critical business decisions. You will shape how data is used, contributing to the mission of becoming the world’s most knowledge-centric company. Responsibilities include designing and building data models, defining data modeling standards, boosting data team productivity, owning tooling decisions, partnering with Data Scientists, developing dashboards, and leading data governance efforts. The role requires a commitment to driving insights and ensuring data quality within a rapidly growing environment.
Must have:
- 4+ years of experience as an analytics engineer.
- Expert SQL skills.
- Experience in data modeling best practices.
- Experience with BI tools to create dashboards.
- Experience in fast-paced scaling environments.
- Ability to work autonomously.
Good to have:
- Experience with dbt.
- Comfortable with Python.
- Experience with Snowflake administration.
- Familiarity with Databricks.
- Previous experience in a high-growth startup.
Perks:
- Comprehensive health, dental, and vision insurance.
- 401(k) plan.
- Equity may be part of the total compensation package.
6 skills required
Job Details
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 - $270,000
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.
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.
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