Staff Analytics Engineer at Harvey

San Francisco, California, United States

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$200,000 – $250,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Legal Tech, AI, Professional ServicesIndustries

Requirements

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 - 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

Responsibilities

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-documented—turning complex datasets into actionable insights for the business

Skills

Data Pipelines

Semantic Data Models

Data Stack

ETL

Testing

Documentation

Analytics Engineering

SQL

Python

Data Modeling

Harvey

Custom AI solutions for law firms

About Harvey

Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$200.4MTotal Funding

SERIES_CCompany Stage

Cybersecurity, LegalIndustries

201-500Employees

Risks

Over-reliance on partnerships could lead to strategic vulnerabilities if they dissolve.

LexLegis.ai's global expansion poses a competitive threat in legal research.

Rapid AI innovation and crowded CLM market may challenge Harvey's growth.

Differentiation

Harvey offers custom LLMs tailored for elite law firms' complex legal challenges.

The company provides a unified interface for legal workflows, enhancing efficiency.

Harvey's BigLaw Bench evaluates AI accuracy in legal tasks, setting industry standards.

Upsides

Partnership with Icertis enhances contract analysis and risk assessment capabilities.

Expansion into Japan with Mori Hamada Matsumoto opens new revenue streams.

Revamped GenAI Assistant improves user experience and output quality for legal professionals.

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