Senior Analytics Engineer

San Francisco, California, United States

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$170,000 – $200,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Legal Tech, Artificial Intelligence, Professional Services, SoftwareIndustries

Requirements

Candidates should have 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a similar field. Deep expertise in SQL, dbt, Python, and modern BI/semantic layer tools like Looker or Omni is required. Strong familiarity with version control (GitHub), CI/CD, and modern development workflows is also necessary. The ideal candidate possesses a bias for action, strong communication skills, and the ability to balance big-picture thinking with precision in execution.

Responsibilities

The Senior Analytics Engineer will design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets. They will define and implement a robust semantic layer to standardize key business metrics and ensure self-serve capabilities. Responsibilities include partnering cross-functionally to deliver dashboards and analytical tools, establishing data modeling standards, collaborating on data architecture decisions, leading data governance initiatives, and empowering stakeholders with well-documented analytical assets.

Skills

Data Modeling

Data Pipelines

ETL

SQL

Data Warehousing

Data Quality

Data Governance

Data Visualization

Business Intelligence

Cloud Data Platforms

Data Architecture

Data Analysis

Problem-Solving

Communication

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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