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about the roleJob Title: Data Analyst (E-Commerce)Location: Camden (3 days in office: Tuesday - Thursday)Salary: £50,000 - £55,000 + BenefitsContact: callum.bell@forsythbarnes.comForsyth Barnes is proud to be recruiting on behalf of a rapidly growing women’s fashion retailer.This scale-up business has experienced significant growth from £0 to £80M in the last 4 years is now looking for a Data Analyst to join their team and drive meaningful insights, build robust processes, and provide essential reporting to fuel continued success.About the Role:As the first dedicated Data Analyst in e-commerce, you’ll play a pivotal role in setting the foundation for data processes and insights. Working closely with the fractional CTO and reporting to the E-Commerce and Digital Manager, you’ll bring order and clarity to data across the business, enabling smarter, faster decisions. This is a hands-on role with high levels of autonomy, ideal for someone who enjoys rolling up their sleeves and making a tangible impact.Key Responsibilities
- Build and maintain dashboards to automate repetitive reporting tasks.
- Create actionable reports across key areas, including:
- Returns analytics
- CRM data analysis
- Product category penetration
- Digital marketing performance
- Use GA4 to answer critical business questions and deliver insights.
- Support the e-commerce team across trading, CRM, digital marketing, and market analytics.
- Develop a consistent, robust approach to data management and reporting.
- Work cross-functionally with teams at varying levels of data proficiency to drive impactful outcomes.
About You:This role is perfect for an experienced data professional who thrives in fast-paced retail or e-commerce environments. You’re highly autonomous, resourceful, and have the skills to transform raw data into actionable insights that drive results.Key Skills & Experience:- 3–5 years of experience in a fast-paced retail or e-commerce environment.
- Proven ability to work independently and deliver results with minimal supervision.
- Advanced Excel skills and proficiency in data visualisation tools (preferably Looker, Qlik or PowerBI).
- Strong knowledge of GA4 and its application in e-commerce analytics.
- Excellent problem-solving and communication skills, with the ability to collaborate across departments.
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