Senior Product Analytics Engineer - Data Modeling & Insights

Harvey; California (MO); On-site; USD 156,000 - 234,000; Full time

Benefits offered by this job

Early employee at a hyper-growth start

AI and LLMs experience

Data warehouse / Snowflake experience

Experience with world-class enterprise

Job summary

Harvey is seeking a Senior Analytics Engineer focused on Product to architect event data models that power decision-making. You will design clean pipelines and semantic data models turning raw events into insights, while evolving the data stack and championing best practices in testing and documentation.

You'll collaborate with product, GTM, and leadership to ensure teams can answer their questions with confidence and build reliable analytics assets across the organization.

Qualifications

• 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.
• Skilled at defining core business and product metrics and resolving data inconsistencies.
• Strong familiarity with GitHub, CI/CD, and modern development workflows.
• Bias for action and strong cross-functional collaboration.

Responsibilities

• Design and build scalable data models and pipelines using dbt to transform raw data into clean assets for analytics.
• Define and implement a robust semantic layer for standardized metrics and self-serve dashboards.
• Partner with Product, GTM, Finance, and Exec teams to deliver dashboards and analytical tools.
• Establish data modeling standards for accuracy, performance, and maintainability.
• Design tracking plans for new product surfaces and ensure accurate event implementation.
• Own product event tracking strategy, including naming conventions and documentation standards.
• Make analytical assets easily discoverable, reliable, and well-documented.
• Define structure, taxonomy, and governance for product event data across instrumentation to analytics-ready models.

Tools

SQL

dbt

Python

Snowflake

Looker/Omni

Job description

Harvey is seeking a Senior Analytics Engineer focused on Product to architect event data models that power decision-making. You will design clean pipelines and semantic data models turning raw events into insights, while evolving the data stack and championing best practices in testing and documentation.

You'll collaborate with product, GTM, and leadership to ensure teams can answer their questions with confidence and build reliable analytics assets across the organization.