Senior Product Analytics Engineer

🕒 October 16

🇺🇸 United States – Remote

💵 $142.7k - $186.6k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 20%

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Horizon3.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Horizon3. ai is a cybersecurity company that specializes in autonomous penetration testing through its platform, NodeZero. The company's mission is to proactively identify and address attack vectors before they can be exploited, allowing organizations to continuously assess their security posture across various environments including cloud, IoT, and on-premises systems. Founded by veterans from the US Special Operations and National Security sectors, Horizon3. ai offers a self-service SaaS solution that provides organizations with insights into their security vulnerabilities without requiring persistent or credentialed agents.

📋 Description

• 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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