49 минут назад
Senior Product Analytics Engineer (Cybersecurity)
142 718 - 186 560$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Analytics Engineer (Cybersecurity): Building scalable ELT pipelines, canonical product data models, semantic layers, and certified analytics assets for cybersecurity product usage with an accent on data governance, self-service analytics, and trusted metrics. Focus on modeling source data, monitoring quality and anomalies, translating usage signals into production-grade expansion metrics, and aligning technical definitions with business needs.
Location: Remote within the United States. The company also has a Chicago office, where some roles require regular in-office presence.
Base salary: $142,718–$186,560 per year, plus potential equity in the form of stock options.
Company
is a remote cybersecurity company developing NodeZero, a platform for production-safe autonomous penetration testing and security assessment operations.
What you will do
- Design, build, and maintain scalable ELT pipelines and data models for product usage and event telemetry.
- Partner with Product Engineering to shape canonical product data, usage cohorts, and behavioral signal definitions.
- Build the semantic layer and self-service data models for Product Analytics.
- Support data governance through taxonomy definition, metric certification, and machine-readable documentation.
- Own data quality monitoring and anomaly detection for product usage data.
- Build production-grade metrics and pipelines for expansion and upsell cohort analysis.
Requirements
- Must be based in the United States for this remote role.
- 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 and hands-on experience with dbt.
- Experience building production data pipelines and stakeholder-facing analytics or dashboards.
- Experience translating ambiguous business requirements into governed, well-documented data models.
Nice to have
- Experience partnering with product and engineering teams on instrumentation and source data design.
- Experience contributing to data governance or metric-certification processes.
- Familiarity with Tableau, Looker, or Power BI.
- Experience with AWS, GCP, or Azure, plus Git-based workflows and CI/CD for data pipelines.
- Regular use of AI tools in coding and development workflows.
Culture & Benefits
- Inclusive, collaborative culture focused on respect, ownership, and results.
- Remote and hybrid work models depending on the role and location.
- Health, vision, and dental insurance for employees and families.
- Flexible vacation policy and generous parental leave.
- Career development opportunities in a growing cybersecurity company.
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