# Senior Analytics Engineer, Finance

**Company**: Harvey
**Location**: New York
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $155,000 - $235,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/harvey/cf7b6b62-44c6-40ae-ac94-7f903370dcd5?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_67fc25ab-45f

## Description

We are 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.

## Compensation

- $155K – $235K

- Offers Equity

- Offers Bonus

Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but are not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.

## 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.

## 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.

## 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 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.

- 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.

- Skilled at defining core financial and operating metrics, uncovering insights, and resolving data inconsistencies across complex systems.

- Strong familiarity with version control, 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

- Experience at world-class enterprise orgs

## Skills

### Required
- SQL
- dbt
- Python
- Snowflake
- data engineering
- analytics engineering
- data science

### Nice to have
- AI
- LLMs
- data warehousing
- enterprise software

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/harvey/cf7b6b62-44c6-40ae-ac94-7f903370dcd5?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
