Senior Analytics Engineer, Finance

🏢 ОфисSeniorПолная занятость

Зарплата не указана

Вилки нет, про деньги придётся договариваться с нуля.

Нажмите на сигнал, чтобы увидеть, на чём он основан

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. With 1500+ customers in 60+ countries, 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, take

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 financial analytics and decision-making

Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs

Partner cross-functionally with Product, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics (ARR, NRR)

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

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

Structure financial metric definitions, business logic, and accounting context in ways that can support AI-assisted reporting, natural language analytics, and automated anomaly detection

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 financial and operating 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 Finance, GTM, Product, 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 financial, billing, subscription, CRM, or usage-based revenue data

Strong understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition

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

$155,000 - $235,000 USD

Harvey

New York

ГрейдSenior

ЗанятостьПолная занятость

РегионСША

ФорматОфис

ИсточникСкрыто

Опубликовано25 мая

Все вакансии компании

AI-помощник

под эту вакансию

Войди, чтобы AI оценил твоё соответствие вакансии и написал сопроводительное письмо

Мы против мошенников на площадке: если тебя просят заплатить, продиктовать код или установить непонятное приложение, прекращай общение и сразу пиши нам (чат с основателем или форма обратной связи).