AI & Analytics Engineer

Sydney

Live, first seen by us 17 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Build and maintain pipelines loading GA4, ad platform and CRM data into BigQuery
Model raw event data into clean, documented tables using SQL and dbt or Dataform
Set up data quality tests and monitoring before issues reach dashboards
Build the semantic layer behind Looker Studio and Looker dashboards
Build PoC-level AI tools such as natural language querying and anomaly detection

From the employer’s posting

build and maintain pipelines that bring GA4 exports, ad platform data (Google Ads, DV360, Meta, CM360) and client CRM data into BigQuery

Model raw event data into clean, documented tables using SQL and dbt or Dataform

Set up data quality tests and monitoring so issues are caught before they reach a dashboard

Build the semantic layer behind Looker Studio and Looker dashboards so numbers match across reports

Conceptualise and build PoC-level AI tools on client data such as natural language querying, automated insight summaries and anomaly detection

About Monks

By connecting brand strategy, media, data, and emerging technology around the consumer, we build intelligent platforms and content ecosystems for the world's leading brands.

In the employer’s words · Read in context

Apply at Monks

Posting record

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Status in our records: Live
First seen by us: Oct 18, 202617 days ago
Recorded sightings: 110
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 17

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From 1,405 similar postings that came down. Coming down is not always a hire.

Monks is hiring

22 open jobs

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
BigQuery
dbt
Looker
Airflow
GCP

Where the posting names them

- You have built and scheduled pipelines on Google Cloud (Composer, Dataform, dbt, Cloud Run or similar). - You use Python for data work: API extraction, transformation scripts and light automation. - You use version control with Git and have a habit of documenting what you build.

You will join the Data team in Sydney or Melbourne (hybrid) as a full time, permanent, mid-level hire. The team covers measurement strategy, tagging and implementation, data engineering, reporting and applied AI. Our stack is built on Google Cloud: GA4, Google Tag Manager, BigQuery, Looker Studio and the Google Marketing Platform. We are increasingly building agentic and Gemini-based tools on top of client data. The ideal candidate has built pipelines and models on Google Cloud for marketing data, writes strong SQL and is comfortable explaining the results to clients. You will work on a mix of engagements. Some are short builds with a clear finish line. Others are long-running data products you will own and improve over time. This role offers a huge opportunity for growth within our AUNZ team and APAC data team with clear channels of progression into leadership. You will work on enterprise brands across automotive, retail, financial services and higher education. You will also get early access to the AI tools we are building plus a say in how they evolve.

- Pipelines and modelling: build and maintain pipelines that bring GA4 exports, ad platform data (Google Ads, DV360, Meta, CM360) and client CRM data into BigQuery. - 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.

- Translate measurement plans into the tables and metrics that answer them. - Analysis and reporting: answer client questions directly with SQL, from funnel drop-off to channel performance to customer lifetime value. - Build the semantic layer behind Looker Studio and Looker dashboards so numbers match across reports.

What You'll Bring - You write strong SQL: window functions, CTEs and nested or repeated field queries without reaching for a reference. - You have hands-on BigQuery experience including partitioning, clustering and cost control.

The Role Monks is looking for an Analytics Engineer to build the data foundations our clients' marketing decisions run on. You will turn raw GA4, media and CRM data into modelled, trusted datasets in BigQuery for some of the region's biggest brands. You will also help us put AI to work on that data. You will join the Data team in Sydney or Melbourne (hybrid) as a full time, permanent, mid-level hire. The team covers measurement strategy, tagging and implementation, data engineering, reporting and applied AI. Our stack is built on Google Cloud: GA4, Google Tag Manager, BigQuery, Looker Studio and the Google Marketing Platform. We are increasingly building agentic and Gemini-based tools on top of client data.

Monks is looking for an Analytics Engineer to build the data foundations our clients' marketing decisions run on. You will turn raw GA4, media and CRM data into modelled, trusted datasets in BigQuery for some of the region's biggest brands. You will also help us put AI to work on that data. You will join the Data team in Sydney or Melbourne (hybrid) as a full time, permanent, mid-level hire. The team covers measurement strategy, tagging and implementation, data engineering, reporting and applied AI. Our stack is built on Google Cloud: GA4, Google Tag Manager, BigQuery, Looker Studio and the Google Marketing Platform. We are increasingly building agentic and Gemini-based tools on top of client data. The ideal candidate has built pipelines and models on Google Cloud for marketing data, writes strong SQL and is comfortable explaining the results to clients. You will work on a mix of engagements. Some are short builds with a clear finish line. Others are long-running data products you will own and improve over time.

What You'll Do - Pipelines and modelling: build and maintain pipelines that bring GA4 exports, ad platform data (Google Ads, DV360, Meta, CM360) and client CRM data into BigQuery. - Model raw event data into clean, documented tables using SQL and dbt or Dataform.

- Set up data quality tests and monitoring so issues are caught before they reach a dashboard. - GA4 and measurement: work with GA4 BigQuery export schemas, unnesting event parameters, sessionising events and rebuilding attribution where the UI falls short. - Partner with our tagging specialists to check that GTM and GA4 implementations produce data the models can rely on.

- Present findings to client and internal stakeholders in plain language. - AI: prepare and govern datasets for BigQuery Conversational Analytics, Gemini and agent-based tools. - Conceptualise and build PoC-level AI tools on client data such as natural language querying, automated insight summaries and anomaly detection.

- You write strong SQL: window functions, CTEs and nested or repeated field queries without reaching for a reference. - You have hands-on BigQuery experience including partitioning, clustering and cost control. - You have working knowledge of GA4: the event model, the BigQuery export schema and how it differs from the GA4 interface.

- You have hands-on BigQuery experience including partitioning, clustering and cost control. - You have working knowledge of GA4: the event model, the BigQuery export schema and how it differs from the GA4 interface. - You have built and scheduled pipelines on Google Cloud (Composer, Dataform, dbt, Cloud Run or similar).

- You have working knowledge of GA4: the event model, the BigQuery export schema and how it differs from the GA4 interface. - You have built and scheduled pipelines on Google Cloud (Composer, Dataform, dbt, Cloud Run or similar). - You use Python for data work: API extraction, transformation scripts and light automation.

- Analysis and reporting: answer client questions directly with SQL, from funnel drop-off to channel performance to customer lifetime value. - Build the semantic layer behind Looker Studio and Looker dashboards so numbers match across reports. - Present findings to client and internal stakeholders in plain language.

- 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. - Set up data quality tests and monitoring so issues are caught before they reach a dashboard.

- Experience with Google Tag Manager (client side or server side), Google Marketing Platform data (CM360, DV360, SA360), Vertex AI, Gemini APIs or LLM-based agents is a big plus in consideration. - Exposure to privacy and consent topics such as Consent Mode, first-party data and the Australian Privacy Act is welcome, as are Google Cloud certifications (Professional Data Engineer or similar). #LI-CX1

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Has Monks posted this job before?

Yes. We’ve followed one other AI & Analytics Engineer job there since October 2026. It is still up.

MelbourneStill up after 17 days, first seen Oct 18
This jobUp 17 days so far, first seen Oct 18

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

About Monks

Monks is a global, digital-first marketing, technology, and creative consultancy operating at the intersection of creativity, media, data, and culture. In APAC, our 700-strong team spans 14 offices across 11 countries, connected by a single, unified operating model.

As pioneers in the AI economy, we live an AI-first culture internally while helping enterprise clients shift from manual workflows to AI-native orchestration — scaling custom agent solutions (Monks.Flow), AI-driven campaigns, and next-gen AI search capabilities. By connecting brand strategy, media, data, and emerging technology around the consumer, we build intelligent platforms and content ecosystems for the world's leading brands. We foster a diverse, equitable, and inclusive workplace where authentic collaboration fuels industry-changing work.

The Role

Monks is looking for an Analytics Engineer to build the data foundations our clients' marketing decisions run on. You will turn raw GA4, media and CRM data into modelled, trusted datasets in BigQuery for some of the region's biggest brands. You will also help us put AI to work on that data.

You will join the Data team in Sydney or Melbourne (hybrid) as a full time, permanent, mid-level hire. The team covers measurement strategy, tagging and implementation, data engineering, reporting and applied AI. Our stack is built on Google Cloud: GA4, Google Tag Manager, BigQuery, Looker Studio and the Google Marketing Platform. We are increasingly building agentic and Gemini-based tools on top of client data.

The ideal candidate has built pipelines and models on Google Cloud for marketing data, writes strong SQL and is comfortable explaining the results to clients. You will work on a mix of engagements. Some are short builds with a clear finish line. Others are long-running data products you will own and improve over time.

This role offers a huge opportunity for growth within our AUNZ team and APAC data team with clear channels of progression into leadership. You will work on enterprise brands across automotive, retail, financial services and higher education. You will also get early access to the AI tools we are building plus a say in how they evolve.

What You'll Do

Pipelines and modelling: build and maintain pipelines that bring GA4 exports, ad platform data (Google Ads, DV360, Meta, CM360) and client CRM data into BigQuery.
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.
Set up data quality tests and monitoring so issues are caught before they reach a dashboard.
GA4 and measurement: work with GA4 BigQuery export schemas, unnesting event parameters, sessionising events and rebuilding attribution where the UI falls short.
Partner with our tagging specialists to check that GTM and GA4 implementations produce data the models can rely on.
Translate measurement plans into the tables and metrics that answer them.
Analysis and reporting: answer client questions directly with SQL, from funnel drop-off to channel performance to customer lifetime value.
Build the semantic layer behind Looker Studio and Looker dashboards so numbers match across reports.
Present findings to client and internal stakeholders in plain language.
AI: prepare and govern datasets for BigQuery Conversational Analytics, Gemini and agent-based tools.
Conceptualise and build PoC-level AI tools on client data such as natural language querying, automated insight summaries and anomaly detection.
Use AI coding assistants in your own workflow to ship faster with fewer errors.

What You'll Bring

You write strong SQL: window functions, CTEs and nested or repeated field queries without reaching for a reference.
You have hands-on BigQuery experience including partitioning, clustering and cost control.
You have working knowledge of GA4: the event model, the BigQuery export schema and how it differs from the GA4 interface.
You have built and scheduled pipelines on Google Cloud (Composer, Dataform, dbt, Cloud Run or similar).
You use Python for data work: API extraction, transformation scripts and light automation.
You use version control with Git and have a habit of documenting what you build.
You are comfortable explaining data to non-technical people, including clients.
You are interested in applying AI to analytics work, backed by something you have tried or built.
Experience with Google Tag Manager (client side or server side), Google Marketing Platform data (CM360, DV360, SA360), Vertex AI, Gemini APIs or LLM-based agents is a big plus in consideration.
Exposure to privacy and consent topics such as Consent Mode, first-party data and the Australian Privacy Act is welcome, as are Google Cloud certifications (Professional Data Engineer or similar).

#LI-CX1

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.

This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

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