Merchandise Planning & Analytics Senior Analyst

UK London, United Kingdom
Farfetch - Commercial – Planning and Analytics /
Permanent /
FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers. We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.

We're partnering with the world's best brands, boutiques and department stores to provide our customers with a unique shopping experience and access to the most extensive selection of luxury on a single platform. We work with all areas of FARFETCH to achieve business success and to improve our social and environmental impact. We want to empower our consumers to think, act and choose positively while offering an unrivalled range of fashion to empower their individuality.

Our office is located in Old Street, London's tech hub. With an open-plan space, ideal for collaborative working, an outdoor terrace for a team lunch.

Within the Merchandising function the Merch Planning & Analytics team owns the planning and the analytics of some of the key supply partners on the marketplace. The goal is to maximise their business on Farfetch by simultaneously contributing to drive total platform topline sales. 

Merch Planning & Analytics (MP&A) is involved in:

- End to end seasonal management of 3P channels on the marketplace.Pre-season analytics driving supply optimization on our key brands and boutiques.
- Commercial business planning including annual forecasts, scenario modelling and stretch targets to grow the business.
- In season monitoring and analysis of sales performance to forecast for external and internal trade purposes. 

The team is working closely with other teams within commercial (Brand Partners, Area Managers, Business Development, Commercial Trading, Commercial Planning, Pricing) and with colleagues from BI, Marketing, Operations and catalogue management to build repeatable, scalable tools and processes and drive continual improvement.


    • With the support of your senior colleagues, you will work both on the analytics and on the planning side; within the Merch Planning & Analytics team you will:

    • On the Analytics side:
    • Pre-season: Analysing the prior season’s trade, identifying areas of success and opportunities as lessons learned for the next season, to share with the brand/boutique to support their seasonal planning and secure optimal supply for the Farfetch customer.  
    • In-season: analyse brand’s trade at a region, category, customer, product level to provide action-driven performance insights to identify opportunities for maximising sales. 
    • Support Farfetch commercial trade meetings by supplying relevant insights and updates on brand and category performance.
    • Develop dashboards and automated reports (working with our BI team) to keep track of sales and stock performances at different levels (brand, category, regions..)
    • Initially this role will be focussed on supporting our boutique partnerships, with scope to support on brand partnerships in the future. 

    • On the Planning side:
    • Support the Business Plan process: you will provide annual forecasts and stretch levers to reach and exceed sales targets, using excel models and other analytical techniques. Your forecasts will also support internal financial planning and budgeting processes.  
    • Develop tracking tools to be able to understand our sales position vs projection and influence dedicated actions to be taken accordingly.
    • Provide recommendations for OTB planning for specific brand partners and boutiques
    • Monitor stock to make sure is in line to reach targets and unlock constraints


    • Experience working in merchandise Seasonal Demand & Supply Planning and Analytics or Consulting, ideally in the industry.
    • You have great understanding and knowledge of the fashion and luxury industry.
    • Excellent planning, analytics, organisational and quantitative problem-solving skills and strong attention to detail.
    • Experience in forecasting sales using excel modelling techniques.
    • Strategic thinker with an emphasis on operational and commercial excellence, with a focus on actionable insights. 
    • You have a flexible, approachable attitude with good problem-solving skills
    • Comfortable dealing with ambiguity and scoping work focus
    • Comfortable working to deadlines in a fast-paced environment
    • You have excellent verbal and written communication skills, translating complex analytical findings into presentable formats for cross functional sharing (e.g powerful powerpoint slides) 
    • You have technical skills for processing and analysing large amounts of data e.g Advanced Excel (required) and SQL (preferred but not essential), experience with a BI Platform for data extraction and visualisation e.g. Power BI, Looker or similar, experience with Powerpoint
    • Pride in quality of work and collaborative mindset.
    • Understanding that the ‘how’ you work is just as important!


    • Employee Pension Scheme
    • Flexible Benefits Program
    • Health Insurance & Critical Illness cover
    • Flexible work environment


    • Farfetch is committed to being an inclusive workplace where diversity in all its forms is celebrated. We make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other classification protected by applicable federal, state or local laws or ordinances. If you require special accommodation, please let us know.