ABOUT THE ROLE

We are looking for a Data Analyst to join our Data Team, supporting our Customer Marketing function. You will work closely with Marketing and CRM stakeholders to unlock insights that drive smarter customer engagement, fuel growth through cross-sell and retention, and improve how we measure marketing performance. Your work will directly inform campaign design, performance tracking, and long-term marketing effectiveness. You’ll help shape the marketing strategy through data – identifying what works, what doesn’t, and what could.
This role is hands-on and embedded within cross-functional teams, requiring a strong foundation in data modelling, advanced SQL, and stakeholder collaboration.

What you’ll do

• Analyse customer behaviours, journeys, and key lifecycle moments to inform segmentation, targeting, and engagement strategies.
• Design and measure our marketing experiments, helping us to evolve our marketing strategy through a continuous cycle of testing & learning.
• Build end-to-end analytics solutions that support growth objectives such as cross-sell and retention, from data modelling through to developing dashboards
• Translate stakeholder needs into technical data requirements and collaborate with Data Engineers to deliver scalable, reliable solutions.
• Create strategic dashboards in Looker and Mixpanel to support decision-making across Customer Marketing and CRM teams.
• Develop attribution frameworks or statistical models to understand marketing impact across customer touchpoints better.
• Become a go-to analytics partner for Customer Marketing — providing proactive insight and helping drive a more data-informed culture.

About you

• 2–3 years of hands-on experience in data analytics (exploratory and descriptive analysis), preferably in a Marketing, CRM, or customer-focused role.
• Advanced SQL skills (analytical functions, window functions, pivots) — confident working with raw, unstructured data to build analysis-ready datasets.
• Strong grasp of marketing metrics, funnel performance, customer segmentation, and attribution models.
• Comfortable working in cross-functional teams and communicating with both technical and non-technical stakeholders.
• Curious, collaborative, and impact-driven — you enjoy turning data into action.
• Experience with data visualisation and BI tools (preferably Looker), and the ability to translate complex data into clear business insights.
• Familiarity with customer engagement and experimentation tools (e.g., Braze, Optimizely).
• Familiarity with product & marketing analytics tools would be ideal (e.g. Mixpanel / Amplitude, Google Analytics / GA4, etc.).
• Experience working with cloud-based data environments (BigQuery, GCP); exposure to dbt or Dataform is a plus.
• Experience with Python is desirable.