Marketing Data Analyst

Hybrid | 8-month contract | Banking & Financial Services

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

Essential:

• 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 .

Desirable:

• 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.