Federal Senior Product Analytics Engineer

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

Benefits offered by this job

Stock options

Health coverage

Flexible vacation

Parental leave

Job summary

horizon3ai in the United States is seeking a hands‑on role to build the governed analytics foundation for product usage data, focusing on federal customers and platforms. This role connects data engineering, governance, and product teams to turn raw telemetry into reliable data products that support decisions and business growth.

You will own ELT pipelines, data models, the semantic layer, and self‑service analytics, collaborating with governance to certify metrics and document definitions,

Qualifications

• Strong data-building and ELT modeling skills, including dbt models and pipeline troubleshooting.
• Governance-focused approach to defining, documenting, and aligning metric meaning.
• Ability to bridge technical work and business discussions, helping stakeholders define shared KPIs.
• Experience supporting self-service analytics and maintaining engineering standards for data assets.

Responsibilities

• Develop and maintain ELT pipelines and data models converting product events into analytics assets.
• Define source definitions for usage cohorts and behavioral signals with product engineering.
• Coordinate with governance on taxonomy, metric certification, and documentation.
• Own the semantic layer and self-service models used by product teams.
• Monitor data quality and resolve pipeline or platform issues with data engineering.
• Create certified metrics for expansion and upsell analysis and explain data concepts to stakeholders.

Skills

Data modeling

ELT pipelines

Stakeholder communication

Self-service analytics support

Tools

dbt models

Job description

Role overview

Build the governed analytics foundation for product usage data, with a focus on federal customers and platforms. This hands‑on role connects data engineering and governance with product analysts and managers, turning raw telemetry into reliable, documented data products that support decisions and business growth.

Responsibilities

• Develop and maintain ELT pipelines and data models that convert product events and usage data into dependable analytics assets.
• Work with product engineering to establish accurate source definitions for usage cohorts and behavioral signals.
• Coordinate with data governance on taxonomy, metric certification, and documentation, including machine-readable formats.
• Own the semantic layer and self‑service models used by product teams and other stakeholders.
• Monitor data quality and anomalies, working with data engineering to resolve pipeline or platform issues.
• Create certified metrics for expansion and upsell analysis, and explain data concepts and business implications to technical and non‑technical audiences.

Requirements

• Strong data‑building skills, including the ability to model product data and work with ELT pipelines; the source specifically mentions dbt models and pipeline troubleshooting.
• A governance‑focused approach to defining, documenting, and aligning on metric meaning.
• Ability to move between technical work and business discussions, including helping stakeholders define shared KPIs.
• Experience supporting self‑service analytics and maintaining engineering standards for data assets.
• Ability to account for applicable federal data and tooling requirements, including FedRAMP and DoW IL4/5; the work may expand to classified workloads.

Benefits and work setup

• The source describes the organization as remote, though it does not provide specific location eligibility for this role.
• Full-time roles include stock options. The listed base salary range is $142,718–$186,560 annually, determined in part by location, qualifications, experience, and skills.
• The source mentions health coverage, flexible vacation, and parental leave.