Horizon3AI
Senior Product Analytics Engineer
$143K–$187K
US, Remote · Remote · Senior · Full-time · Posted Oct 5, 2026
- Experience
- 7+ years spanning data engineering and analytics, ideally in a role bridging both.
- Education
- Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field.
About the job
Builds trusted product-data pipelines, governed analytics models, and self-service data products to support product decisions and revenue growth.
What you'll do
- Build and maintain ELT pipelines and documented models for product usage and event data.
- Develop the Product Analytics semantic layer, self-service models, data-quality monitoring, and certified metrics.
- Partner with engineering, governance, analysts, and business stakeholders on source data, metric definitions, and analytics standards.
What they ask for
- Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field.
- Advanced SQL and hands-on dbt experience.
- Experience building production data pipelines and stakeholder-facing analytics or dashboards.
- Experience translating ambiguous business requirements into governed, documented data models.
Nice to have
- Experience partnering with product or engineering teams on instrumentation and source data design, or contributing to data governance or metrics certification.
- Familiarity with Tableau, Looker, Power BI, cloud platforms, Git-based workflows, CI/CD, or regular AI use in development workflows.
Pay
$142,718-$186,560 USD base salary
Tools
SQL, dbt, Tableau, Looker, Power BI, AWS, GCP, Azure
AI focus
Support metric documentation in AI/machine-readable structure; preferred regular AI use in coding and development workflows, including agents, memory files, or copilots.
Model-written summary · the original posting is authoritative