Senior E-Commerce & Customer Analyst

About us

Dune London is the leading affordable luxury footwear and accessories brand in the UK, with broad distribution across both the UK and internationally. It has 50 stores in the UK and over 100 in 25 countries around the world. The company is entering a period of sustained growth both through expansion of sales on its online channels and through third party partners both in the UK and globally.

Celebrating over 30 years in the industry, the Dune group has built an enviable position as the specialist in quality fashion footwear and accessories which has given it a unique position at the high end of the high street.

We are looking for a passionate and experienced Data Analyst to join our Digital Team, reporting directly into our CIO. This role will lead the analysis of e-commerce performance and customer behaviour to drive revenue growth, improve customer experience, and inform marketing, merchandising, and product decisions.

• Analytical mindset, attention to detail, problem-solving.
• Business acumen and customer-centric thinking.
• Ability to prioritise, manage multiple stakeholders, and work cross-functionally.
• Comfortable with ambiguity and iterative experimentation.

• Track and analyse key performance metrics (traffic, conversion, AOV, CLV, retention, churn) across all digital channels.
• Build and automate dashboards and reports using BI tools and SQL to deliver timely performance insights.
• Conduct advanced analyses (cohort, funnel, segmentation, RFM, LTV) to identify high‑value customers and growth opportunities.
• Design, run, and evaluate A/B tests and personalization experiments, turning results into actionable recommendations.
• Lead customer journey and voice‑of‑customer analysis to uncover pain points and drive improvements across teams.
• Manage customer data and segmentation (Bloomreach), ensure data quality and tracking accuracy, and communicate findings clearly to stakeholders.

• 2–5+ years’ experience in e-commerce, digital analytics, or customer analytics.
• Proficiency with SQL and at least one analytics/BI tool (Tableau, Looker, Power BI).
• Strong Excel skills (pivot tables, advanced formulas).
• Experience with web/mobile analytics platforms (Google Analytics) and use of conversion analysis tools – Content Square; and e-commerce platforms (Salesforce and Shopify).
• Solid understanding of funnel metrics, cohort analysis, retention, lifetime value, and attribution concepts.
• Excellent written and verbal communication; ability to translate data into business recommendation.
• Experience in retail, DTC, marketplaces or omnichannel environments - preferred.
• Knowledge of CDPs, CRM and marketing automation (Bloomreach) - preferred.

• Blended working – spreading your time across our office and remote working.
• Sustainable office in bustling West London (near Westfield).
• Friendly and open culture with flat structures allowing plenty of opportunity for development.
• Company growth and opportunity;
  Dune is evolving all the time.
• Open-minded company, welcoming thoughts and ideas to be shared.
• Working with charitable organisations to help raise funds and give something back. Our current charity partner is Mental Health UK.
• 60% employee discount on Dune products – what’s not to love!
• 25 days holiday (plus the bank holidays).
• Cycle2work.
• Company pension scheme.
• Life assurance for all team members.
• We look after our people.
• 3.00 p.m. finish every pay day Friday!
• Team socials and drinks – we like to have fun!
• Access to our employee assistance programme, retail
  
  TRUST, who provide loads of resources to support with wellbeing and personal development offer free counselling legal advice and financial guidance.
• Our own Wellbeing Allies – there to talk when you need them.

We will take a good look at your application and if we don’t feel we are right for you, we’ll make sure we let you know but sadly we are not able to give tailored feedback.

If we are excited to find out more about you, we will give you a call and arrange to talk.

A few things that might help:

• Research the brand, the role, your interviewer on Linked In; browse our website; and visit a store if you can.
• Make sure you have plenty of examples to show off all your amazing skills and experience relevant to this role.