AI & Analytics Engineer
Core
Build data foundations for marketing decisions by turning raw GA4, media, and CRM data into trusted datasets in BigQuery and applying AI to that data.
Role type
Mid-level Analytics Engineer (Data Engineering & Applied AI)
Builds
Trusted datasets, data pipelines, and AI-driven analytics tools for enterprise brands.
Domain
Digital Marketing, Data Engineering, Applied AI
Deliverable
production ML models
Required skills
SQL (window functions, CTEs), BigQuery, Google Cloud Platform (Composer, Dataform, Cloud Run), Python, GA4 event modeling, Git
Preferred skills
Google Tag Manager, Google Marketing Platform (CM360, DV360), Vertex AI, Gemini APIs, LLM-based agents, Privacy/Consent frameworks
Technologies
BigQuery, Google Cloud Platform, dbt, Cloud Composer, Looker Studio, GA4, Google Tag Manager
Responsibilities
Build and maintain data pipelines ingesting GA4, ad platform, and CRM data into BigQuery; Model raw event data into clean tables using SQL and dbt; Orchestrate jobs with Cloud Composer or Cloud Run; Set up data quality tests and monitoring; Work with GA4 BigQuery export schemas and attribution; Partner with tagging specialists on GTM and GA4 implementations; Answer client questions with SQL and build semantic layers for dashboards; Prepare and govern datasets for BigQuery Conversational Analytics and Gemini; Conceptualize and build PoC-level AI tools (natural language querying, anomaly detection).
Seniority
Mid-level, hands-on IC
