Why Harvey

At Harvey were transforming how legal and professional services operate. 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 1500 customers in 60 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 moves fast takes ownership and is deeply committed to the mission operating with intensity staying close to our customers and pushing each other for excellence. We live by three values: Decisiveness Simplicity and Jobs Not Finished. We act quickly on clear judgment over perfect information we believe simplicity is what scales and were never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive wed love to build with you.

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

Role Overview

Were looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power 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 usable insights. As an Analytics Engineer on our team youll help evolve our 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 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/Other) 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 business health metrics.

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

• Partner with Product Managers Engineers and Data teams to design tracking plans for new product surfaces ensuring events are implemented accurately consistently and with downstream analytics use cases in mind.

• Own the product event tracking strategy including event naming conventions property schemas identity resolution sessionization versioning deprecation and documentation standards.

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

• Youll define the structure taxonomy governance and modeling patterns for product event data ensuring that user behavior product usage and customer journeys are captured consistently from instrumentation through analytics-ready models.

What You Have

• 5 years of experience in Analytics Engineering Data Engineering Data Science or similar field.

• Deep expertise in SQL dbt Python Snowflake.

• Experience with modern BI tools like (Looker/Omni or similar).

• 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 modeling high-volume semi-structured product event data including JSON payloads nested properties user/account identifiers sessions funnels cohorts and behavioral metrics.

• Experience with product analytics tools (Mixpanel Segment Amplitude)

Bonus

• Early employee at a hyper-growth startup

• Experience with or knowledge of AI and LLMs

• Data Engineering Experience

• Experience managing data warehouse (preferably Snowflake)

• Experience at world-class enterprise orgs (ex: Brex Ramp Stripe Palantir)

Compensation

$155000 - $235000 USD

Depending on your location an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices 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:

Senior IC