Senior Analytics Engineer, Product

Job summary

Responsibilities

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…

• 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 (e.g. LookML/Omni/Other) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for…
• 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…
• Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces, ensuring events are implemented accurately, consistently, and with…

What they're looking for

• 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.

Tech stack

• dbt
• SQL
• Python
• Snowflake
• Looker