Analytical Engineer
Core
Own the Gold layer and semantic layer for a business domain, turning raw data into reliable datasets and defining business logic/metrics for AI-powered self-serve analytics.
Role type
Senior Analytical Engineer (Data Engineering & Analytics)
Builds
Curated dimensional data models, governed metric marts, semantic layers, and board-ready dashboards for PLG, marketing, revenue, and product domains.
Domain
SaaS Product Analytics & Data Engineering
Required skills
Advanced SQL, dimensional modeling (star/snowflake, SCDs), dbt, Airflow, Git, Databricks, data quality testing, schema management, data contracts, query performance tuning
Preferred skills
NL2SQL, Unity Catalog, Looker/LookML, reverse-ETL (Salesforce, Marketo, Gainsight)
Responsibilities
Design and improve curated data models for downstream dashboards and Genie spaces; Implement canonical business logic for core KPIs to resolve metric disputes; Author metadata and prompt definitions for self-serve query tools; Own the metric dictionary as a single source of truth; Author data contracts and SLAs at the Silver→Gold boundary; Build and maintain certified, board-ready dashboards
Seniority
Senior, hands-on IC