Marketing Data Analyst

Outsized; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

Outsized is seeking an experienced data engineer to support a foundational marketing data platform that ingests, standardises and consolidates data from digital marketing channels and agency sources. This role focuses on analysing and interpreting marketing data from Google Ads, GA4, DV360 and Meta to validate performance reporting with read-only access.

You will design SQL logic to join the customer journey from marketing touch through to application, account opening, funding and card usage,

Qualifications

• Strong SQL proficiency, including query optimisation and complex joins.
• Experience analysing data from Google Ads, GA4, Meta, and DV360 with campaign hierarchies and attribution windows.
• Experience with marketing attribution modelling (first-paid, last-paid, assisted).
• Experience with Google Cloud Platform, especially BigQuery, for analytics and reporting.
• Experience in banking or financial services client engagements.
• Experience with data reconciliation and data quality measures.
• Experience building marketing data platforms or customer data infrastructure.
• Experience with customer analytics or campaign performance reporting.
• Familiarity with dbt or similar transformation tools.
• 7+ years of data engineering experience designing and maintaining production data platforms.
• Experience with API-based integrations and third-party data sources.
• Experience with cloud-based data platforms BigQuery and Google Cloud Storage at infrastructure level.
• Experience with ETL/ELT orchestration, connector maintenance, and CI/CD practices.

Responsibilities

• Analyse Google Ads, GA4, DV360 and Meta data to validate reporting.
• Write BigQuery SQL for first-paid, last-paid, and assisted attribution logic.
• Design the join path from marketing journey to application and funding.
• Reconcile publisher conversions against GA4 and business outcomes; define coverage and match-rate.
• Translate attribution and reconciliation findings into actionable insights for stakeholders.

Skills

SQL proficiency

Query optimisation

Complex joins

Attribution modelling

Campaign performance

Customer analytics

Data reconciliation

Marketing data platforms

API integrations

ETL/ELT orchestration

CI/CD practices

7+ years data engineering

Production data platforms

Third-party data sources

Cloud data platforms

Familiarity with dbt

Tools

BigQuery

Google Cloud Storage

dbt

CI/CD tools

Job description

We are seeking an experienced data engineer to support a foundational marketing data platform that ingests, standardises and consolidates data from digital marketing channels and agency sources. This is a strategic initiative for a forward-thinking marketing organisation seeking to establish unified marketing analytics, performance measurement, and attribution capability, working closely with data already available in the platform to generate insight and support decision-making.

You will focus on analysing and interpreting marketing data from Google Ads, GA4, DV360, Meta, and agency-provided datasets, with read-only access to validate performance marketing reporting. You will design SQL logic to join the customer journey from marketing touch through to application, account opening, funding, and card usage, and build attribution models as prototype logic for the broader data team to productionise. Success will be measured by the accuracy of attribution modelling, the reliability of reconciliation between platform-reported and actual business outcomes, and the clarity of insight delivered to stakeholders.

Key Activities

• Marketing Platform Analysis: Analyse Google Ads, GA4, DV360, and Meta data, including campaign hierarchies, conversion definitions, and attribution windows, with read-only publisher access to validate performance marketing reporting.
• Attribution Modelling: Write BigQuery SQL for first-paid, last-paid, and assisted attribution logic, as prototype logic for the broader team to productionise.
• Journey Mapping: Design the join path from marketing journey through to application, account opening, funding, and card usage.
• Reconciliation & Data Quality: Reconcile publisher-reported conversions against GA4 and actual business outcomes; define coverage, match-rate, and data quality measures.
• Reporting & Insight: Translate attribution and reconciliation findings into clear, actionable insight for marketing and business stakeholders.

Your Background

• Strong SQL proficiency, including query optimisation and complex joins.
• Hands-on experience analysing data from Google Ads, GA4, Meta, and DV360, including campaign hierarchies, conversion definitions, and attribution windows.
• Experience with marketing attribution modelling (first-paid, last-paid, assisted, or similar frameworks).
• Exposure to Google Cloud Platform, particularly BigQuery, for analytics and reporting.
• Experience working in banking or financial services, or on banking/financial services client engagements.
• Experience with data reconciliation and defining data quality or coverage measures.
• Prior experience building or working with marketing data platforms or customer data infrastructure.
• Background in customer analytics or campaign performance reporting.
• Familiarity with dbt or similar transformation tools.
• 7+ years of data engineering experience, with expertise designing and maintaining production data platforms.
• Experience building API-based integrations and working with third-party data sources.
• Experience with cloud-based data platforms, particularly BigQuery and Google Cloud Storage, at an infrastructure level.
• Experience with ETL/ELT orchestration, connector maintenance, and CI/CD practices.