Senior Analytics Engineer, Product

🏢 ОфисSeniorПолная занятость

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Наша компания

WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

О роли

This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re 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 commi

Чем предстоит заниматься

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

You’ll 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

Наши требования

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

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)

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)

Дополнительно

$155,800 - $233,600 USD

Harvey

San Francisco

ГрейдSenior

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано4 авг.

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