Role Overview
The E-commerce Data Analyst will be responsible for delivering insight that drives improvements across the full commercial ecosystem spanning customer experience, retailer investment effectiveness, marketing and sales performance, and the broader post-purchase, onboarding and promotional landscape.
What You Will Do
The E-commerce Data Analyst will design, build and maintain a marketing and sales performance dashboard in Looker Studio, underpinned by Google BigQuery, combining sell-out sales data, market volume and share data, and campaign activity logs. The analyst will also conduct analysis of the current customer experience, including user behaviour, content and campaign performance and conversion pathways.
Why It Might Be a Fit
The ideal candidate will have a strong analytical capability, expertise in data modelling and SQL, and the ability to translate complex commercial questions into dashboard logic and actionable recommendations.
Requirements
- Proven experience as a data or insight analyst within digital, e-commerce, retail, marketing or agency environments.
- Strong proficiency in Google BigQuery and advanced SQL, including data modelling and reporting layer design.
- Hands-on experience building dashboards in Looker Studio, with a clear understanding of how to structure underlying data models for robust, scalable dashboard performance.
- Demonstrable experience combining sell-out sales, market share and campaign activity datasets to generate commercial insight.
- Ability to define and calculate metrics including uplift, baseline, market share, activity intensity and halo effects.
- Strong marketing analytics capability, including campaign effectiveness measurement across paid and promotional channels.
- Good understanding of digital customer journeys, content performance metrics and e-commerce KPIs.
- Experience with analytics platforms such as Google Analytics GA4, Adobe Analytics or similar.
- Excellent communication and storytelling ability — capable of translating complex business questions into dashboard logic and presenting findings clearly to non-technical audiences.
- Experience working with multi-market teams and managing stakeholder expectations across business functions.
- A passion for data-driven decision-making and an interest in how AI can enhance analytics workflows.
To apply for this job please visit job-boards.greenhouse.io.
Follow us on social media