We’re looking for a versatile Senior Analytics Engineer to partner closely with our Finance team in building the financial data foundation that drives decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn source data into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, finance, 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 we’d love to meet you.
We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started
Задачи
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
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate
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)
COMPENSATION
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU
YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]
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 accommodations@harvey.ai
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
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
Условия
155,000 - $235,000 USD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данных129 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыГибрид
ГеографияНью-Йорк, СШАвычитано из текста вакансии
Зарплата155 000 — 235 000 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
ashbyОсновная публикация · 2026-05-25
H
Работодатель
Harvey
50 активных вакансий · вилка работодателя указана в 61%