Senior Analytics Engineer: Build AI-Ready Data Platform

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Analytics Engineer to build and scale the analytical foundation powering GTM, Product, Finance, People, and Ops. You will bridge data engineering and analytics, transforming product, marketing, financial, and operations data into clean, well-modeled datasets that drive dashboards, experiments, billing ops, and AI-ready insights.

This cross-functional role partners with Product, Marketing, RevOps, Finance, and Engineering to ensure a robust,

Qualifications

• 5+ years in analytics engineering, data engineering, or similar in a SaaS environment.
• Deep expertise in SQL, dbt, and modern data modeling.
• Proficiency in Python for pipeline development and automation.

Responsibilities

• Build and scale the data foundation (dbt, Snowflake) for GTM, Product, Finance, and Ops.
• Design and maintain data warehouses and ETL/ELT pipelines from APIs.
• Standardize metric definitions and ensure consistent calculations across tools.

Skills

SQL/dbt

Python

Salesforce data

ELT pipelines

Data reconciliation

Event data (Posthog/Mixpanel)

Marketing to product analytics

Semantic layer (dbt/Snowflake Cortex)

Snowflake/BigQuery/Redshift

CI/CD/testing

Cross-functional collaboration

Data-driven decision making

Ambiguity ownership

Job description

United States Digital Space LLC is seeking a Senior Analytics Engineer to build and scale the analytical foundation powering GTM, Product, Finance, People, and Ops. You will bridge data engineering and analytics, transforming product, marketing, financial, and operations data into clean, well-modeled datasets that drive dashboards, experiments, billing ops, and AI-ready insights.

This cross-functional role partners with Product, Marketing, RevOps, Finance, and Engineering to ensure a robust,