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Senior Product Analytics Engineer
Horizon3.ai. Design, build, and maintain scalable ELT pipelines and data models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable ELT pipelines and data models, with a strong focus on data quality monitoring and analytics governance. Proficient in translating business requirements into actionable data insights and collaborating with cross-functional teams to drive product analytics.
Highest-signal resume keywords
Advanced SQLData EngineeringDbtData GovernanceAWS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData Pipeline DevelopmentAnalytics Dashboard CreationMetric CertificationAnomaly Detection
Soft Skills
CollaborationCommunicationStakeholder Engagement
Tools & Technologies
TableauLookerPower BIGitCI/CD
Industry Keywords
Product AnalyticsData Quality MonitoringBehavioral SignalsTaxonomy DefinitionUsage Metrics
Tech Stack
Tools & technologiesAWSAzureGoogle Cloud PlatformSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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