Junior Data Analyst, Ecommerce Insights & Dashboards

Crew Clothing Head Office; Greater London; On-site; GBP 26,000 - 38,000; Full time

Job summary

Crew Clothing Head Office in Kingston-on-Thames is seeking a Junior Data Analyst to support the Data & Insights team across ecommerce and retail. You will help prepare data, build dashboards, translate performance into business learnings, and gain exposure to the group’s data strategy with mentorship.

This role offers 37.5 hours, with a collaborative, customer-focused environment and opportunities to develop technical and commercial skills.

Qualifications

• Strong academic background in mathematics, statistics, economics, data science or related fields.
• Interest in data analytics or ecommerce demonstrated via projects, internships or early work.
• Basic knowledge of Excel; eager to develop SQL and BI skills.

Responsibilities

• Support the delivery of customer and performance insights across ecommerce and retail.
• Prepare datasets and maintain stakeholder reports for trading, product, digital, and retail teams.
• Help design and maintain dashboards and visual reports using Power BI and Looker Studio.
• Analyze customer journeys, campaign performance and ecommerce behaviour.
• Translate data into insight summaries and visuals to support decisions.
• Learn segmentation, forecasting and attribution concepts over time.
• Collaborate cross-functionally to understand stakeholder needs and drive action.

Skills

Analytical mindset

Excel basics

SQL interest

BI tools interest

Strong communication

Organised and detail-oriented

Willingness to learn

Multitasking

Education

Mathematics/Statistics/Tech degree

Tools

Power BI

Looker Studio

Google Analytics

ContentSquare

Excel

Job description

Crew Clothing Head Office in Kingston-on-Thames is seeking a Junior Data Analyst to support the Data & Insights team across ecommerce and retail. You will help prepare data, build dashboards, translate performance into business learnings, and gain exposure to the group’s data strategy with mentorship.

This role offers 37.5 hours, with a collaborative, customer-focused environment and opportunities to develop technical and commercial skills.