Marketing Data Analyst

Balance Recruitment and Balance Consulting; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Banking environment

Scale marketing capability

Job summary

Balance Recruitment and Balance Consulting is partnering with a leading banking organisation to hire a Marketing Data Engineer in Sydney. You will bridge marketing analytics and data engineering to drive smarter attribution, customer journey measurement, and campaign performance analysis.

You will collaborate with marketing, analytics and engineering teams to define attribution logic, build end-to-end journey views, and deliver data-enabled insights to improve acquisition and engagement across

Qualifications

• 7+ years of experience in marketing analytics/insights/attribution.
• Strong experience with GA4, BigQuery and SQL.
• Deep understanding of digital marketing measurement and attribution analysis.
• Proven experience analysing customer journeys from first touch through to conversion.
• Hands-on experience with multi-touch attribution models.
• Experience working with Google Ads, Meta and DV360 datasets.
• Strong stakeholder engagement and communication skills.
• Banking or financial services experience will be highly regarded.

Responsibilities

• Build end-to-end customer journey views across multiple marketing touchpoints.
• Design and validate multi-touch attribution models.
• Analyse paid media performance across Google Ads, Meta, DV360 and other digital channels.
• Use GA4 and BigQuery to uncover customer acquisition and engagement insights.
• Reconcile outputs across multiple data sources and identify data gaps.
• Define data requirements and attribution logic for engineering implementation.
• Partner with marketing, analytics and technical stakeholders across the business.

Skills

Marketing analytics

Attribution modelling

Customer journey

Stakeholder engagement

SQL

GA4

BigQuery

Marketing measurement

Cross-channel attribution

Tools

DV360

Google Ads

Meta Ads

ETL/ELT frameworks

Python

Job description

Are you passionate about turning marketing data into actionable customer insights?

We're partnering with a leading banking organisation to find a Marketing Data Engineer who can bridge the gap between marketing analytics and data engineering, helping drive smarter attribution, customer journey measurement, and campaign performance analysis.

This is an exciting opportunity for someone who enjoys solving complex marketing data challenges rather than purely building pipelines.

The Opportunity

You'll work closely with marketing, analytics, and engineering teams to determine how customer acquisitions and campaign responses should be attributed across multiple digital channels.

You'll analyse data, build attribution methodologies, identify gaps and opportunities, and help shape the data requirements before handing solutions to engineering teams for implementation.

What You'll Be Doing

• Build end-to-end customer journey views across multiple marketing touchpoints.
• Design and validate multi-touch attribution models.
• Analyse paid media performance across Google Ads, Meta, DV360 and other digital channels.
• Use GA4 and BigQuery to uncover customer acquisition and engagement insights.
• Reconcile outputs across multiple data sources and identify data gaps.
• Define data requirements and attribution logic for engineering implementation.
• Partner with marketing, analytics and technical stakeholders across the business.

What We're Looking For

• 7+ years' experience in marketing analytics/insights/attribution
• Strong experience with GA4, BigQuery and SQL.
• Deep understanding of digital marketing measurement and attribution analysis.
• Proven experience analysing customer journeys from first touch through to conversion.
• Hands-on experience with multi-touch attribution models.
• Experience working with Google Ads, Meta and DV360 datasets.
• Strong stakeholder engagement and communication skills.
• Banking or financial services experience will be highly regarded.

Nice to Have

• Python and API integration experience.
• Experience with cloud-based data platforms and ETL/ELT frameworks.
• Knowledge of marketing data platforms, customer analytics and marketing mix modelling (MMM).
• Familiarity with AI tools and their practical application in the workplace.

What's on Offer?

• Hybrid working arrangement (3 days in the Sydney office)
• High-profile banking environment
• Opportunity to shape marketing measurement capability at scale

If you've built attribution frameworks, stitched together customer journeys from disparate datasets, and know how to turn marketing data into meaningful business insights, we'd love to hear from you.