AI & Analytics Engineer
Role Overview
Monks seeks an Analytics Engineer for its Data team, working with marketing data and AI-enabled analytics for enterprise clients.
The role is described as mid-level, full-time, and permanent, based in Sydney or Melbourne with a hybrid arrangement.
The team works across measurement strategy, tagging and implementation, data engineering, reporting, and applied AI.
The work spans short builds and longer-running data products to own and improve.
Key Skills for This Role
Full Job Posting
Role overview
Monks seeks an Analytics Engineer for its Data team, working with marketing data and AI-enabled analytics for enterprise clients.
The role is described as mid-level, full-time, and permanent, based in Sydney or Melbourne with a hybrid arrangement.
The team works across measurement strategy, tagging and implementation, data engineering, reporting, and applied AI.
The work spans short builds and longer-running data products to own and improve.
Pipelines and measurement
- Build and maintain BigQuery pipelines for GA4 exports, advertising platform data, and client CRM data.
- Model raw event data into clean, documented tables using SQL and dbt or Dataform.
- Orchestrate jobs with Cloud Composer (Airflow), Cloud Functions, or Cloud Run; establish data quality tests and monitoring.
- Work with GA4 export schemas, event parameters, sessionization, and attribution; collaborate with tagging specialists on GTM and GA4 implementations.
- Translate measurement plans into tables and metrics.
Analysis, reporting, and AI
- Answer client questions with SQL, including funnel drop-off, channel performance, and customer lifetime value.
- Build semantic layers for Looker Studio and Looker dashboards and present findings in plain language.
- Prepare and govern datasets for BigQuery Conversational Analytics, Gemini, and agent-based tools.
- Develop proof-of-concept AI tools on client data, including natural-language querying, automated insight summaries, and anomaly detection.
- Use AI coding assistants in the development workflow.
Qualifications and skills
- Strong SQL, including window functions, CTEs, and nested or repeated field queries.
- Hands-on BigQuery experience with partitioning, clustering, and cost control; working knowledge of GA4 and its BigQuery export schema.
- Experience building and scheduling Google Cloud pipelines with Composer, Dataform, dbt, Cloud Run, or similar.
- Use Python for data work, including API extraction, transformation scripts, and light automation.
- Use Git version control and document work; explain data to non-technical people, including clients.
- Interest in applying AI to analytics work; the source text ends before this qualification is completed.
About Monks
Monks is a digital-first marketing, technology, and creative consultancy working across creativity, media, data, and culture.
Its APAC team spans 14 offices across 11 countries.
The company describes an AI-first culture and work on custom agent solutions, AI-driven campaigns, and AI search capabilities.
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