At a Glance
- Tasks: Transform data into actionable insights for digital marketing and CRM teams.
- Company: Join the iconic Vivienne Westwood brand, known for creativity and sustainability.
- Benefits: Enjoy staff discounts, health support, generous leave, and training opportunities.
- Other info: Collaborative culture with a focus on innovation and personal growth.
- Why this job: Kickstart your analytics career in a global luxury fashion environment.
- Qualifications: 1+ year in data or digital marketing; strong Excel and analytical skills required.
The predicted salary is between 30000 - 40000 £ per year.
About Vivienne Westwood
Vivienne Westwood is one of the most iconic British fashion brands, renowned for its heritage, innovative design, and commitment to culture and activism.
We care deeply about our people and the environment, and our core values — Gaia, Quality not Quantity, Activism, Culture & Heritage — guide us daily.
If you share our passion for creativity, sustainability, and innovation, we’d love to hear from you.
About The Role
Vivienne Westwood is looking for a detail-oriented and analytically minded Data & Insights Coordinator to support the Digital Marketing & CRM team.
In this role, you will help transform campaign and website data into clear, actionable insights that inform decision-making across digital channels.
Working closely with the Head of Digital & CRM and directly support the channel specialists (Paid Social, Performance, CRM, UX), you’ll support reporting, performance analysis, and data integrity across the business.
This is an excellent opportunity for someone early in their analytics career to gain hands‑on experience within a global luxury fashion brand.
Key Responsibilities
- Data & Reporting
- Monitor and analyse performance across key digital channels (Paid Social, Paid Search, SEO, CRM/Email, Affiliates) using tools such as GA4, Meta Ads, and Google Ads
- Build and maintain performance dashboards in Looker Studio to enable clear, real‑time visibility of trends
- Produce and optimise recurring reports using Excel (including pivot tables, formulas, and templates)
- Support analysis of key metrics such as conversion rate, AOV, lifecycle customer behaviour, and product performance
- Validate and sense‑check data from internal platforms and external agencies, identifying inconsistencies and anomalies
- Assist in reconciling data across platforms and supporting understanding of attribution differences
- Analyse website performance using tools such as GA4 and Microsoft Clarity to identify optimisation and A/B testing opportunities
- Cross Channel Collaboration
- Act as a data contact point for the digital marketing and e‑commerce teams
- Support CRM initiatives including segmentation and customer insight analysis
- Translate complex data into clear, concise insights for non‑technical stakeholders
- Contribute to ongoing improvements in reporting quality and data usage across teams
- Stay informed on digital, e‑commerce, and luxury fashion trends
- AI & Data Innovation
- Explore opportunities to leverage AI tools (e. g. LLMs, AI‑driven analytics platforms) to enhance reporting and insights generation
- Support experimentation with automation and data workflows
- Use (or develop) basic Python skills for data manipulation and process optimisation
- Contribute to evolving best practices in data storytelling and insight generation
- Ad Hoc & Operational Support
- Support product feed optimisation, ensuring data accuracy and alignment with trading priorities
- Coordinate with external agencies on reporting requests and data queries
- Respond to ad hoc analysis requests across the marketing team
- Assist in building new dashboards, reports, and insight frameworks
- Provide general analytical and administrative support as needed
(Please note this is not an exhaustive list of duties and you may be required to perform additional duties to fulfil the requirements of the role)
- Profile & Key Skills
- 1+ year in data, analytics, or digital marketing (incl. internships)
- Strong Excel skills (formulas, pivots, reporting)
- Familiar with GA4 / digital marketing platforms (Meta, Google Ads)
- Analytical, detail‑oriented, and confident working with data
- Able to turn data into clear, actionable insights
- Organised and able to manage reporting cycles and ad‑hoc requests
- Collaborative and comfortable working cross‑functionally and with agencies
- Proactive, hands‑on, and eager to learn
- Interest in digital marketing, e‑commerce, and customer behaviour
- Exposure to Looker Studio / Power BI, Python, or AI tools is a plus
Benefits
- Staff discounts
- Health & Wellbeing support (includes Private Medical Health Insurance, EAP, Gym Discounts, Access to Financial Planning Service, etc.)
- Perkbox Discounts and Wellness Hub
- Cycle to work scheme
- Generous annual leave allowance
- Pension Scheme
- Training and hands‑on experience
- Opportunities to build new skills and gain valuable industry knowledge
Applications are reviewed on an ongoing basis, so we recommend applying early to avoid missing out.
Vivienne Westwood is an equal opportunity employer that is committed to diversity and inclusion in the workplace.
We prohibit discrimination and harassment of any kind based on race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by local government laws.
- For our privacy statement please visit this link
- #J-18808-Ljbffr
Data & Insights Coordinator in London employer: Vivienne Westwood
At Vivienne Westwood, we pride ourselves on being an exceptional employer that champions creativity, sustainability, and innovation. Our Battersea office offers a vibrant work culture where employees are encouraged to grow through hands-on experience and training opportunities, all while enjoying generous benefits such as health and wellbeing support, staff discounts, and a commitment to diversity and inclusion. Join us in making a meaningful impact in the fashion industry while working alongside passionate individuals who share your values.
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