Why This Job is Featured on The SaaS Jobs
This Senior Analytics Engineer, Finance role stands out because it sits at the intersection of modern SaaS data practice and the subscription economics that run most software businesses. The listing signals a company operating with clear product-market fit and a broad customer footprint, which typically raises the bar for metric consistency, governance, and decision-grade reporting across teams.
From a SaaS career perspective, the work maps closely to the problems that recur across high-performing software companies: building trusted semantic layers, standardising definitions for ARR and retention, and turning fragmented operational systems into a usable analytical foundation. Experience partnering with Finance, Product, GTM, and leadership on shared metrics is especially transferable, since cross-functional alignment on revenue and usage data is a common bottleneck as SaaS organisations scale.
This is best suited to an analytics engineer who prefers ownership over a narrow ticket queue and is comfortable translating business questions into durable data models. It will appeal to someone who enjoys setting standards, documenting logic, and improving reliability through testing and version-controlled workflows, while staying close enough to stakeholders to keep outputs practical and adopted.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. 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.
Role Overview
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.
What You'll Do
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.
What You Have
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.
Bonus
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
$155,800 - $233,600 USD
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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
