Senior Analytics Engineer, Product
HarveyVisit Harvey website
Harvey is an AI platform for legal and professional-services organizations.
Series F+Recently funded
Distributed
About Harvey
Harvey provides agents and collaborative tools for legal work, including legal research, document analysis, secure workspaces, contract intelligence, and organization-level analytics.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect event data models that power decision-making. You will build dbt models and pipelines, implement a semantic layer, design tracking plans with Product and Engineering, own the event tracking strategy and taxonomy, and make analytical assets reliable and well documented.
Requirements
- 5+ years in Analytics Engineering, Data Engineering, Data Science or similar
- Deep expertise in SQL, dbt, Python, Snowflake
- Experience with modern BI tools such as Looker or Omni
- Skilled at defining business and product metrics
- Familiarity with GitHub, CI/CD and modern development workflows
- Strong communication skills
- Experience modeling high-volume semi-structured product event data
- Experience with product analytics tools (Mixpanel, Segment, Amplitude)
Responsibilities
- Design and build scalable data models and pipelines using dbt
- Define and implement a semantic layer (LookML/Omni/other) standardizing metrics and data products
- Deliver dashboards and analytical tools surfacing business health metrics
- Establish data modeling standards and best practices
- Design tracking plans for new product surfaces with PMs, Engineers and Data teams
- Own the product event tracking strategy including naming, schemas, identity resolution, sessionization, versioning and documentation
- Make analytical assets discoverable, reliable and well documented
- Define taxonomy, governance and modeling patterns for product event data
Benefits
- Equity
