Data Analyst

FARFETCH; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A luxury fashion marketplace is looking for a Marketing Analytics professional in London. This role involves analyzing business data to drive strategic decisions and optimize marketing channels. Ideal candidates should have solid analytical skills, proficiency in SQL and Excel, and 1-5 years of experience in a data role within e-commerce. The position offers a hybrid work environment and various employee benefits.

Benefits

Employee Pension Scheme

Flexible Benefits Program

Health Insurance

Flexible work environment

Qualifications

• 1-5 years of experience in a data role, preferably in e-commerce.
• Strong analytical skills using data to test theories and measure success.
• Knowledge of statistical methods including data mining and predictive modeling.

Responsibilities

• Manage analytical projects to produce insights guiding strategic decisions.
• Use statistical methods to build analyses and reports.
• Challenge thinking around marketing channel attribution.

Skills

Analytical skills

Quantitative skills

Problem solving

Attention to detail

Dealing with ambiguity

Tools

SQL

Excel

Python

R

Job description

Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world's best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.

COMMERCIAL

The Commercial team drives our strategic partnerships with the world's leading brands and boutiques to source the best selection and optimise sales channels for our partners. Their work offers our customers access to incredible products and the most extensive selection of luxury for endless style.

LONDON

Our office is located in Old Street, London's tech hub. Our open-plan space is ideal for collaborative working. When you're not doing what's never been done, you can enjoy a team lunch on our large outdoor terrace, or join a yoga class in our dedicated studio.

THE ROLE

Are you looking for an exciting challenge? This is a phenomenal opportunity to join us in the Marketing Analytics team driving growth and optimization across Farfetch's channels. You will have the exciting and rare chance to work in a fast-paced environment taking our business to the next level.

We are looking for a numerate person who is excited to solve problems by working with big data, interpreting numbers, and consulting with channel leads on translating insights into real actions and solutions based on commercial objectives. This role is for someone who is self-driven, independent, and wants to drive significant impact.

You will have the opportunity to embrace working in a fast paced environment balancing tactical needs whilst driving strategically for a long-term solution. You will grow technically by embracing new technologies and analytical techniques to solve complex problems, alongside gaining in-depth knowledge of business channels and driving value in these channels using data.

WHAT YOU'LL DO

• Manage business essential analytical projects that involve analysing complex datasets to produce insights and models that guide strategic decisions
• Use robust statistical and data methods to build analyses
• Increase efficiency and automate analysis to ensure focus is on new value-add analysis
• Challenge your team and partners in meetings to encourage healthy debate and stimulating discussions
• Continuously learn and raise the bar for quality and rigour of your work
• Work closely with your manager, team and partner with marketing channel owners to scope, design, develop, and implement a variety of analytical projects including:
  • Profound analysis to drive strategic decisions
  • Report and understand drivers of our performance
  • Marketing channel performance deep‑dives and optimisation
  • Design and conduct marketing experiments
  • Challenge our thinking around marketing channel attribution and the resulting impact on allocation of marketing spend
  • Quantify and challenge hypotheses and assumptions

WHO ARE YOU

• A professional with 1-5 years of experience in a data role, preferably in an e‑commerce business
• Strong analytical and quantitative skills; experience using data and metrics to test theories, confirm assumptions, and measure success
• Knowledge of statistical methods including data mining, predictive modelling, and reporting technologies
• You have a strong working ability with SQL & Excel
• Knowledge of Python, R, or similar preferred
• You have proven analytics work experience
• Highly confident in dealing with ambiguity and scoping work with keen attention to detail
• A flexible, approachable attitude with good problem solving skills

REWARDS & BENEFITS

• Employee Pension Scheme
• Flexible Benefits Program
• Health Insurance & Critical Illness cover
• Flexible work environment - Hybrid Model (3 days a week from the office, 2 days from home)

EQUAL OPPORTUNITIES STATEMENT & SCAM DISCLAIMER

• EQUAL OPPORTUNITIES STATEMENT - Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
• SCAM DISCLAIMER - It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.