E-Commerce Data Analyst
£35,000 - £45,000
Merseyside (3 days a week on-site)
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.
They are a well-established consumer-focused organisation with a strong digital presence and a commitment to using data to improve customer experiences. Their analytics team plays a central role in supporting business growth, delivering actionable insights across multiple functions. With continued investment in data and technology, they offer a collaborative environment where analytical expertise is highly valued. You'll join a team that encourages knowledge sharing, innovation, and continuous development.
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.
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.
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.
Salary between £35,000 - £45,000 - depending on experience
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
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