Analytics Engineer
Core
Design, build, and own a trusted, AI-ready data and insights layer that provides correct, authorized, and context-aware answers to humans and AI tools across the company.
Role type
Analytics Engineer (Data Platform)
Builds
A semantic data layer, operational data integrations, and self-serve reporting assets for internal teams and AI tools.
Domain
SaaS / Marketing Technology / Data Infrastructure
Deliverable
production ML models
Required skills
SQL, dimensional/semantic modeling, cloud data warehousing, data pipeline construction, SaaS integrations, data governance, role-based access control, AI/LLM data preparation
Preferred skills
Experience with BigQuery, HubSpot, Stripe, Chargebee, Google Analytics, Facebook Ads
Technologies
BigQuery, HubSpot, Stripe, Chargebee, Google Analytics, Facebook Ads
Responsibilities
Integrate business data sources (e.g., Stripe, Chargebee, Google Analytics) into operational tools; Build and maintain a documented semantic layer for human and AI querying; Migrate existing dashboards and reports onto the insights layer; Enable self-serve audience building and ad-hoc data pulls; Implement role-based access control for data consumers; Measure data accuracy, adoption, and business impact.
