Senior Product Analytics Engineer
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Job Description
Senior Product Analytics Engineer building governed product data pipelines and analytics models for Horizon3’s autonomous cybersecurity platform. Supporting Federal compliance, self-service metrics, and product-led growth.
Responsibilities:
- Design, build, and maintain scalable ELT pipelines and data models for product usage and event telemetry
- Partner with Product Engineering on the canonical product data layer and governed product usage definitions
- Support taxonomy definition, metric certification, and governance documentation, including AI/machine-readable structure
- Build and own the semantic layer and self-service Product Analytics data models
- Own data quality monitoring and anomaly detection for product usage data
- Build pipelines and models for expansion and upsell cohort metrics, including usage thresholds, feature adoption, and seat utilization
- Define analytics standards and tooling enablement with data teams across the company
- Present technical data concepts and business implications to engineering, non-technical stakeholders, and leadership
- Drive engineering best practices within Product Analytics data assets
- Ensure tooling and data flows comply with US Federal frameworks including FedRAMP, DoW IL4/5, and classified workloads
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
- Advanced SQL
- Hands-on experience with dbt and/or government-approved equivalents
- Experience building production data pipelines and stakeholder-facing analytics/dashboards
- Experience translating ambiguous business requirements into governed, well-documented data models
- Experience partnering with product/engineering teams on instrumentation and source data design
- Experience with data governance or metrics-certification processes
- Familiarity with Tableau, Looker, or Power BI
- Experience with AWS, GCP, or Azure
- Experience with Git-based workflows and CI/CD for data pipelines
- Experience using AI in coding/development workflows
- Experience operating within federally compliant organizations and systems at FedRAMP, IL4/5, and classified levels
- Must be legally authorized to work in the United States
- Must not require employment visa sponsorship now or in the future
Benefits:
- Equity package in the form of stock options for all full-time roles
- Health, vision, and dental insurance for you and your family
- Flexible vacation policy
- Generous parental leave
- Career development opportunities
- Inclusive and collaborative culture
- Remote work model
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