Senior Analytics Engineer — Product Data & Insights

United States Digital Space LLC; United States; Remote; USD 156,000 - 234,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Analytics Engineer focused on product analytics to architect event data models and power decision-making across the company. You will design scalable pipelines, ensure reliable data assets, and collaborate with product, GTM, and leadership to enable self-serve analytics.

You will own the product event tracking strategy, shape data models for high-volume data, and promote best practices in testing, documentation, and governance to drive insights

Qualifications

• 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.

Responsibilities

• Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making.
• Define and implement a robust semantic layer that standardizes key metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams.
• Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver dashboards and analytical tools that surface business health metrics.
• Establish and champion data modeling standards and best practices for accuracy, performance, usability, and maintainability.
• Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces with accurate event data.
• Own the product event tracking strategy including naming conventions, schemas, identity resolution, sessionization, versioning, and documentation standards.

Skills

SQL

dbt

Python

Snowflake

Tools

Looker

Omni

Job description

United States Digital Space LLC is seeking a Senior Analytics Engineer focused on product analytics to architect event data models and power decision-making across the company. You will design scalable pipelines, ensure reliable data assets, and collaborate with product, GTM, and leadership to enable self-serve analytics.

You will own the product event tracking strategy, shape data models for high-volume data, and promote best practices in testing, documentation, and governance to drive insights