# Senior Analytics Engineer, Product

**Company**: Harvey
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $155,800 - $233,600 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/harvey/754bb046-a622-40dd-8416-0af87f1f0301?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_58bda669-e48

## Description

We’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power 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 raw events into usable insights.

## Responsibilities

- 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 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.

## Requirements

- 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.

- 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 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).

## Nice to Have

- 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

- Offers Equity

- Offers Bonus

- Comprehensive health, dental and vision coverage

- Retirement benefits (401k match up to 4%)

- Flexible PTO

## Skills

### Required
- SQL
- dbt
- Python
- Snowflake
- Looker/Omni
- GitHub
- CI/CD

### Nice to have
- AI
- LLMs
- Data Engineering
- Mixpanel
- Segment
- Amplitude

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/harvey/754bb046-a622-40dd-8416-0af87f1f0301?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)