E-Commerce Analyst
Role details
Job location
Tech stack
Job description
Are you passionate about turning digital data into meaningful business outcomes? This is an excellent opportunity for an E-Commerce Data Analyst to join a growing analytics function where your insights will directly influence online performance, customer experience, and commercial decision-making. You'll work closely with E-Commerce and Analytics teams, helping shape strategy through data-driven recommendations., As an E-Commerce Analyst you will join a growing digital analytics team where you'll use SQL, BigQuery, GA4 and BI tools to shape e-commerce strategy through data-driven insights and commercial impact.
Specifically, you can expect to be involved in the following:
- Analyse web and customer data to generate commercial insights and recommendations.
- Translate business challenges into analytical solutions that support strategic decision-making.
- Partner with stakeholders across e-commerce and wider business teams to understand objectives and identify opportunities.
- Build and maintain dashboards, reports, and self-service analytics solutions.
- Evaluate the commercial impact of insights and help prioritise high-value initiatives.
- Develop tools and processes that improve analytical capabilities across the organisation.
- Monitor online performance, customer behaviour, and key e-commerce metrics.
- Collaborate with analytics colleagues to share knowledge, best practice, and data developments.
Requirements
The successful E-Commerce Analyst will have the following skills and experience:
- Strong commercial experience using SQL and BigQuery for data analysis.
- Experience working with Google Analytics 4 (GA4).
- Expertise in data visualisation tools such as Power BI or Looker.
- Good understanding of analytical methodologies and data-driven problem solving.
- Exposure to ETL processes, data pipelines, or database automation.
- Strong stakeholder management and communication skills.
- Confident presenting insights to both technical and non-technical audiences.
- Advanced Excel skills and experience working with business reporting tools.
- Experience using AI-enabled analytics or automated insight generation tools would be beneficial.