Analytics Engineer

Job Description

Perplexity is seeking an Analytics Engineer to define and build its analytics infrastructure. The Analytics Engineer will ensure data is reliable, accessible, and drives critical business decisions. This role is crucial in shaping how Perplexity uses data, contributing to its mission of becoming the world’s most knowledge-centric company. Perplexity is headquartered in San Francisco and operates on a hybrid schedule, requiring in-office presence on Monday, Wednesday, and Friday.

Responsibilities include:

• Designing and building core data models to improve analysis efficiency.
• Defining and championing data modeling standards and best practices using tools like dbt.
• Boosting data team productivity by improving tooling, automating workflows, and streamlining processes.
• Owning decisions on tooling selection, balancing build vs. buy, and managing vendor relationships.
• Partnering closely with Data Scientists to ensure analytics requirements are clearly understood and effectively implemented.
• Developing and maintaining critical dashboards and reporting to track business health and enable better decision-making.
• Leading data governance efforts, ensuring security, compliance, and quality standards are consistently met.

Qualifications:

• 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).
• Prior experience in fast-paced, rapidly scaling environments.
• Comfortable working autonomously, taking projects from concept through execution with minimal oversight.

Perplexity offers:

• Equity may be part of the total compensation package.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan.