Senior Product Analytics Engineer

Horizon3 is a fast-growing, remote cybersecurity company dedicated to enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. The company is investing in a company-wide data strategy to make its data trusted, governed, and built to power revenue growth. The Senior Product Analytics Engineer sits at the center of that effort, bridging how product data is modeled and built and how it is trusted and used across the company.

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; Partner with the Data Governance function: support taxonomy definition work, prepare metrics for certification, and maintain documentation to governance standards; Build and own the semantic layer and self-service data models for Product Analytics; 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 the expansion/upsell cohort work; Collaborate with data people across the company to define analytics standards and tooling enablement; Present technical data concepts and their business implications clearly to engineering and non-technical stakeholders, including leadership; Drive engineering best practices within the Product Analytics team's data assets

Requirements

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 in a role 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

Nice to have

Proven experience partnering directly with product/engineering teams on instrumentation and source data design; Experience standing up or contributing to a data governance or metrics-certification process; Familiarity with BI/visualization tools (Tableau, Looker, Power BI); Experience with cloud platforms (AWS, GCP, Azure); Experience with Git-based workflows and CI/CD for data pipelines; Regular use of AI in coding/development workflows (agents, memory files, copilots)

Benefits

Health, vision & dental insurance for you and your family; Flexible vacation policy; Generous parental leave; Equity package in the form of stock options (all full-time roles); Competitive compensation; Growth opportunities; Inclusive team; Innovative culture