Senior Product Analytics Engineer - Remote Self-Service Data

horizon3ai; United States; Remote; USD 143,000 - 187,000; Full time

Benefits offered by this job

Fully remote work environment

Medical, dental, and vision insurance

Flexible vacation policy

Equity stock options

Job summary

horizon3ai is seeking a Senior Product Analytics Engineer to bridge how product data is modeled with how it is trusted and consumed across the business. The role sits at the center of a company-wide data strategy, partnering with data engineering, governance, and product teams to turn foundations into self-service, decision-ready data products.

You will own the semantic layer, ELT pipelines, and data quality monitoring, enabling internal stakeholders to query with confidence without a SQL expert

Qualifications

• A builder's mindset for data and shaping product data at the source.
• Ability to move between technical implementation and business conversations with leadership.
• Governance-driven approach: document, define, and align on metric meaning before shipping.
• Bias toward self-service with production-ready data models for non-technical users.
• Hands-on experience with dbt-style transformation workflows and modern ELT pipelines.

Responsibilities

• Design, build, and maintain scalable ELT pipelines and data models.
• Partner with product engineering on canonical product data layer and governance.
• Collaborate with data governance to define taxonomy and metrics for certification.
• Own semantic layer and self-service data models for non-SQL-expert users.
• Own data quality monitoring and anomaly detection for product usage data.
• Support expansion and upsell cohort work by turning usage into production-grade metrics.

Skills

Data modeling at source

Stakeholder communication

Governance & metrics documentation

Self-service data models

dbt ELT pipelines

Analytics engineering best practices

Tools

dbt

Job description

horizon3ai is seeking a Senior Product Analytics Engineer to bridge how product data is modeled with how it is trusted and consumed across the business. The role sits at the center of a company-wide data strategy, partnering with data engineering, governance, and product teams to turn foundations into self-service, decision-ready data products.

You will own the semantic layer, ELT pipelines, and data quality monitoring, enabling internal stakeholders to query with confidence without a SQL expert