Senior Product Analytics Engineer

🔥 19 hours ago

🇺🇸 United States – Remote

💵 $142.7k - $186.6k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Translate raw product usage and event telemetry into trusted, documented analytics assets • Partner with Product Engineering on the canonical product data layer • Define product usage cohorts and behavioral signals using accurate, governed source data • Support taxonomy definition, metric certification, and governance documentation • 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 cohorts, usage thresholds, feature adoption, and seat utilization metrics • Collaborate on company-wide analytics standards and tooling enablement • Present technical data concepts and business implications to engineering, non-technical stakeholders, and leadership • Drive engineering best practices within Product Analytics 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 • Advanced SQL • Hands-on experience with dbt • 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 • Regular use of AI in coding/development workflows • Legally authorized to work in the United States

🏖️ 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 work culture • Remote and hybrid work models depending on role and location