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Senior Product Analytics Engineer

Horizon3 AI· Product
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Remote$142.7k - $186.6k + equityFull-timePosted 2w ago

About the role

Senior Product Analytics Engineer at Horizon3, focused on building a trusted, governed product data layer and self-service analytics for the Product team, partnering with Data Engineering and Data Governance to enable metrics certification and scalable analytics assets.

Responsibilities

  • Design, build, and maintain scalable ELT pipelines and data models that translate raw product usage and event telemetry into trusted, well-documented analytics assets.
  • Partner with Product Engineering on the canonical product data layer — ensuring product usage cohorts and behavioral signal definitions are built on accurate, governed source data, not just what's convenient downstream.
  • Partner with the Data Governance function: support taxonomy definition work, prepare metrics for certification, and maintain documentation to governance standards (including AI/machine-readable structure).
  • Build and own the semantic layer and self-service data models for Product Analytics, so internal stakeholders can query with confidence without needing a SQL expert.
  • Own data quality monitoring and anomaly detection for product usage data, partnering with Data Engineering when issues trace back to pipeline or platform-level causes.
  • Contribute analytics engineering support to expansion/upsell cohort work, building pipelines and models that turn usage thresholds, feature adoption, and seat utilization into certified, production-grade metrics.
  • Collaborate with data people across the company to define analytics standards and tooling enablement and ensure Product Analytics practices align with company-wide methodology.
  • Present technical data concepts and their business implications clearly to both engineering and non-technical stakeholders, including leadership.
  • Drive engineering best practices within the Product Analytics team's data assets.

Qualifications

  • Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field
  • 7+ years of experience spanning data engineering and analytics, ideally bridging both
  • Advanced SQL and hands-on experience with dbt
  • Hands-on experience building both production data pipelines and stakeholder-facing analytics/dashboards
  • Experience translating ambiguous business requirements into governed, well-documented data models

Skills

Required:SQLdbtData ModelingStakeholder Communication
Nice to have:Data Governance

Benefits

  • Inclusive Team
  • Growth Opportunities
  • Innovative Culture
  • Hybrid & Remote Work with some roles requiring in-office presence
  • Competitive Compensation with salary, equity and health/vision/dental insurance, flexible vacation policy, parental leave
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Horizon3 AI

Only Pentesting Platform Proven in Production

Continuously assess, fix, and verify your security posture. Securing enterprises across many attack surfaces.

PentestingSecurity PostureThreat DetectionVulnerabilitiesRisk AssessmentOffensive Security
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