Senior Analytics Engineer - US (Remote)

Role Overview

Senior Analytics Engineer (US Remote)

Build and scale the analytics foundation that powers decision-making across Go-to-Market, Product, Finance, and Operations. You’ll transform raw product, marketing, and financial data into clean, modeled, trusted datasets used for dashboards, cohort analyses, experimentation, pricing, and AI-driven insights.

Responsibilities

• Build & own the data foundation
  • Own and evolve the dbt project (performance, testing, documentation)
  • Design/maintain the Snowflake data warehouse and ingestion processes
  • Apply modern data modeling best practices for core entities and complex business logic
• Drive data quality & automation
  • Implement testing and observability for analytics pipelines
  • Enforce CI/CD practices (automation, linting, tests, code review/approvals)
  • Standardize metric definitions across tools
• Cross-functional collaboration
  • Act as a data liaison between Engineering, GTM, and Finance to ensure consistent metrics and instrumentation
  • Enable stakeholder self-service access to trusted insights
  • Promote data literacy (querying, dashboarding, interpreting metrics) and coach teams

Requirements

• 5+ years as an analytics engineer/data engineer (SaaS preferred)
• Deep expertise in SQL, dbt, and modern data modeling
• Proven experience with event-based/product usage data (e.g., PostHog, Mixpanel)
• Experience connecting marketing data (ads/campaigns/attribution) to product analytics (pipelines from ad platforms to conversion/retention)
• Comfort with large-scale systems: Snowflake (and/or BigQuery/Redshift)
• Strong familiarity with CI/CD, Git workflows, and automated testing
• Cross-functional experience with engineers, analysts, and product managers
• Ability to own ambiguous problems and design end-to-end solutions

Nice to Have

• Python for deeper analysis and automation
• Experience building/maintaining Airflow DAGs
• Spark/PySpark experience