Senior Analytics Engineer

Eve
United States
Workplace: RemoteFull timeUSD 190,000 - 250,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Ownership","Curiosity","Communication","Problem-solving","Stakeholder alignment"]

Own product analytics and customer success metrics by building governed semantic models for usage, adoption, launch performance, and customer health. Define and reconcile NRR, churn, and expansion using signals from product behavior, CS platforms, support/ticket data, and lifecycle systems. Partner with Product and Customer Success to turn ambiguous questions into durable models, instrument them for alerting, and enable AI agents and data-grounded tools for trustworthy answers.

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Eve
Eve
3 days ago

Senior Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Closed

Job Summary

Own product analytics and customer success metrics by building governed semantic models for usage, adoption, launch performance, and customer health. Define and reconcile NRR, churn, and expansion using signals from product behavior, CS platforms, support/ticket data, and lifecycle systems. Partner with Product and Customer Success to turn ambiguous questions into durable models, instrument them for alerting, and enable AI agents and data-grounded tools for trustworthy answers.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Model product usage and adoption, including WAU/MAU, adoption depth by feature, and launch cohort analysis.
  • •Build customer success models for health scoring, onboarding and time-to-value, renewal risk, and expansion sourced from CS/support and lifecycle systems.
  • •Own governed definitions for NRR, churn, and expansion and reconcile them with Finance revenue reporting.
  • •Design semantic models connecting usage behaviors to customer outcomes so renewal predictors are explainable.
  • •Instrument models with alerting/drift detection and maintain documentation while partnering with Product and Customer Success to operationalize answers and AI agents.

Pay and Benefits

Salary: USD 190,000 - 250,000 annually
Equity and Bonus:Equity
Perks:401kHealth InsuranceDentalVisionLife InsuranceDisabilityCommuter BenefitsTelecomm StipendFlexible Time

Key Requirements

  • •5+ years in analytics engineering, owning projects end to end.
  • •Strong SQL and data modeling/transformation with dbt expertise (advanced modeling patterns, macros/packages, and testing).
  • •Build SCD tables from multiple sources and implement semantic/BI metric layers (Omni or Hex).
  • •Experience modeling product usage/event data and customer lifecycle/retention signals (NRR, churn, expansion) from CS and support systems.
  • •Use AI-assisted development (Claude Code) and integrate tools via MCP servers, with strong communication across technical and business stakeholders.
Experience:5+ yearsLegal technologyB2B SaaSCustomer successAI
Skills:OwnershipCuriosityCommunicationProblem-solvingStakeholder alignment
Languages:English
Tech Stack:SQLDbtSnowflakeOmniHexAmplitudeMixpanelPendoSCDClaude CodeMCP

Company Brief

Eve
Eve is a legal AI platform for plaintiff law firms. Its EveOS product helps firms with intake, case analysis, drafting, discovery, and legal research, aiming to improve efficiency, compliance, and case outcomes across high-volume plaintiff practices.
Industry: LegalTech
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Headquarters: San Mateo, United States
WebsiteLinkedIn