Staff Analytics Engineer

Why Harvey

At Harvey were transforming how legal and professional services operate not incrementally but end-to-end. By combining frontier agentic AI an enterprise-grade platform and deep domain expertise were reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 700 customers in 58 countries strong product-market fit and world-class investor support were scaling fast and defining a new category in real time. The work is ambitious the bar is high and the opportunity for growth personal professional and financial is unmatched.

Our team is sharp motivated and deeply committed to the mission. We move fast operate with intensity and take real ownership of the problems we tackle from early thinking to long-term outcomes. We stay close to our customers from leadership to engineers and work together to solve real problems with urgency and care. If you thrive in ambiguity push for excellence and want to help shape the future of work alongside others who raise the bar we invite you to build with us.

At Harvey the future of professional services is being written today and were just getting started.

Role Overview

Were looking for a Staff Analytics Engineer to architect the data backbone that powers decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments youll design clean reliable pipelines and semantic data models that turn raw events into immediately usable insights. As the founding Analytics Engineer on our team youll choose and implement the right data stack champion best practices in testing and documentation and collaborate closely with product GTM and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data and want to shape analytics from the ground up wed love to meet you.

What Youll Do

Design and build scalable data models and pipelines using dbt to transform raw data into clean reliable assets that power company-wide analytics and decision-making.

Define and implement a robust semantic layer (e.g. LookML / Omni) that standardizes key business metrics dimensions and data products ensuring self-serve capabilities for stakeholders across teams.

Partner cross-functionally with Product GTM Finance and the Exec Team to deliver intuitive consistent dashboards and analytical tools that surface real-time business health metrics.

Establish and champion data modeling standards and best practices guiding the organization in how to model data for accuracy usability and long-term maintainability.

Collaborate with engineering to make key decisions on data architecture co-design data schemas and implement orchestration strategies that ensure reliability and performance of the data warehouse.

Lead data governance initiatives ensuring high standards of data quality consistency documentation and access control across the analytics ecosystem.

Empower stakeholders with data by making analytical assets easily discoverable reliable and well-documentedturning complex datasets into actionable insights for the business.

What You Have

7 years of experience in Analytics Engineering Data Engineering or Data Science

Deep expertise in SQL dbt Python and modern BI / semantic layer tools like Looker or Omni .

Skilled at defining core business and product metrics uncovering insights and resolving data inconsistencies across complex systems.

Strong familiarity with version control (GitHub) CI / CD and modern development workflows.

Bias for action - you prefer launching usable iterative data models that deliver immediate value over waiting for perfect solutions.

Strong communicator who can build trusted partnerships across Product GTM Finance and Exec stakeholders.

Comfortable working through ambiguity in fast-moving cross-functional environments.

Balances big-picture thinking with precision in execution knowing when to sweat the details and when to move quickly.

Experience operating in a B2B or commercial setting with an understanding of customer lifecycle and revenue-driving metrics.

Compensation Range

$200000 - $250000 USD

Please find our CA applicant privacy notice here.

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Harvey is an equal opportunity employer and does not discriminate on the basis of race gender sexual orientation gender identity / expression national origin disability age genetic information veteran status marital status pregnancy or related condition or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made by emailing

Required Experience :

Staff IC

Key Skills

Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 200 - 250