Senior Analytics Engineer, Product

Harvey
San Francisco
Workplace: HybridFull timeUSD 155,800 - 233,600 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving","Bias for action","Storytelling"]

Senior Analytics Engineer focusing on Product to architect event data models that power decision-making. Design scalable data models and pipelines, define a robust semantic layer, partner with Product/GTM/Finance, and establish data modeling standards. Drive tracking plans for new product surfaces, own event tracking strategy, and empower stakeholders with reliable, self-serve analytics.

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Harvey
Harvey
2 months ago

Senior Analytics Engineer, Product

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Senior Analytics Engineer focusing on Product to architect event data models that power decision-making. Design scalable data models and pipelines, define a robust semantic layer, partner with Product/GTM/Finance, and establish data modeling standards. Drive tracking plans for new product surfaces, own event tracking strategy, and empower stakeholders with reliable, self-serve analytics.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets for company-wide analytics.
  • •Define and implement a robust semantic layer (e.g. LookML/Omni/Other) to standardize metrics, dimensions, and data products for self-serve analytics.
  • •Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver dashboards and analytical tools that surface business health metrics.
  • •Establish and champion data modeling standards and best practices for accuracy, performance, usability, and maintainability.
  • •Own the product event tracking strategy, including event naming conventions, property schemas, identity resolution, sessionization, versioning, and documentation standards.

Pay and Benefits

Salary: USD 155,800 - 233,600 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related field.
  • •Deep expertise in SQL, dbt, Python, and Snowflake.
Experience:5+ yearsAnalyticsData engineeringData science
Skills:CommunicationCollaborationProblem-solvingBias for actionStorytelling
Languages:English
Tech Stack:SQLDbtPythonSnowflakeLookerOmniGitHubCI/CD

Company Brief

Harvey
Harvey builds domain-specific generative AI for legal and professional services, automating contract analysis, due diligence, compliance, and litigation workflows for law firms and corporate legal teams.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2022
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor