Senior Product Analytics Engineer

atHorizon3.aiRemoteUS flagUnited StatesFull-timeAnalytics EngineerSenior$142.7k – $186.6k/year

Posted 13 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain scalable ELT pipelines and data models.

• Convert raw product usage and event telemetry into reliable, well-documented analytics assets.

• Collaborate with Product Engineering to establish the canonical product data layer.

• Define product usage cohorts and behavioral signals utilizing precise, governed source data.

• Assist in defining taxonomy, certifying metrics, and documenting governance.

• Create and manage the semantic layer along with self-service Product Analytics data models.

• Oversee data quality monitoring and anomaly detection for product usage data.

• Construct pipelines and models for expansion and upsell cohorts, usage thresholds, feature adoption, and seat utilization metrics.

• Work together on company-wide analytics standards and tool enablement.

• Communicate technical data concepts and business implications to engineering, non-technical stakeholders, and leadership.

• Advocate for engineering best practices within Product Analytics data assets.


⛳️ Requirements

• Bachelor’s degree or equivalent in Computer Science, Engineering, Information Systems, or a related discipline.

• 7+ years of experience in data engineering and analytics.

• Proficiency in advanced SQL.

• Practical experience with dbt.

• Background in building production data pipelines and stakeholder-facing analytics/dashboards.

• Ability to translate ambiguous business requirements into governed, well-documented data models.

• Experience collaborating with product/engineering teams on instrumentation and source data design.

• Familiarity with data governance or metrics-certification processes.

• Knowledge of Tableau, Looker, or Power BI.

• Experience with AWS, GCP, or Azure.

• Proficient in Git-based workflows and CI/CD for data pipelines.

• Regular utilization 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.

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