Senior Product Analytics Engineer
Core
Bridge between product data modeling and trusted usage across the company, shaping canonical data layers and self-service analytics.
Role type
Senior Product Analytics Engineer
Builds
Scalable ELT pipelines, semantic layers, and certified data models for product usage and revenue growth.
Domain
Cybersecurity / Data Engineering & Analytics
Required skills
Advanced SQL, dbt, production data pipelines, stakeholder-facing analytics/dashboards, translating business requirements to governed models, data quality monitoring, anomaly detection, engineering best practices
Preferred skills
Partnering with product/engineering on instrumentation, data governance/metrics certification, BI tools (Tableau/Looker/Power BI), cloud platforms (AWS/GCP/Azure), Git-based workflows/CI-CD, AI in coding workflows
Technologies
dbt, SQL, AWS, GCP, Azure, Tableau, Looker, Power BI, Git, CI/CD
Responsibilities
Design and maintain scalable ELT pipelines translating raw telemetry into trusted analytics assets; Partner with Product Engineering on canonical product data layer and behavioral signal definitions; Support Data Governance function in taxonomy definition and metric certification; Build and own semantic layer for self-service data models; Own data quality monitoring and anomaly detection for product usage; Contribute pipelines for expansion/upsell cohort metrics; Collaborate on analytics standards and tooling enablement; Present technical data concepts to engineering and non-technical stakeholders; Drive engineering best practices within the team
Seniority
Senior, hands-on IC (via careerplan.io/jobs/94bb8459-8891-49f0-a111-2ae2fde02f52-senior-product-analytics-engineer-at-horizon3ai)
