Senior Analytics Engineer (Semantic Layer)
Core
Design and implement scalable semantic modeling approaches to standardize business metrics across enterprise analytics, dashboards, and AI-driven applications.
Role type
Senior Analytics Engineer (Semantic Layer)
Builds
Canonical analytical models, reusable semantic models, governed metric definitions, and AI-ready datasets
Domain
AdTech / Digital Monetization / Enterprise Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, dbt (or similar transformation frameworks), dimensional/semantic modeling, data quality validation, metric reconciliation, cloud data platforms, stakeholder collaboration
Preferred skills
Finance/revenue reconciliation, multi-tenant analytics, structured data preparation for LLMs, customer-facing reporting solutions
Technologies
dbt, modern cloud-based data platforms, BI tools, AI/LLM frameworks
Responsibilities
Design scalable semantic models, define and govern business metrics with stakeholders, translate business definitions into technical implementations, develop reusable models for BI and AI, create and maintain dashboards, reconcile critical metrics across systems, implement automated testing for metrics and rules, maintain metadata and lineage documentation, contribute to data standardization processes, design datasets optimized for analyst and machine consumption, support self-service analytics evolution
Seniority
Senior, hands-on IC
