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For Companies At a Glance
- Tasks: Lead the delivery of Advertising Campaign reporting and analytics for diverse clients.
- Company: Join Farfetch, a global leader in luxury fashion e-commerce.
- Benefits: Enjoy flexible work options, health insurance, and a vibrant office environment.
- Why this job: Make an impact in luxury advertising while enhancing client satisfaction and operational efficiency.
- Qualifications: Experience in data analytics, preferably in e-commerce, with strong skills in Excel, SQL, and Python.
- Other info: Collaborative workspace in London's tech hub with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About Farfetch
Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world’s best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.
About FARFETCH ADVERTISING
FARFETCH Advertising operates at the intersection of luxury e-commerce and advertising. As Reporting & Analytics Senior Analyst, you will take the lead on our Reporting & Analytics offering. This will involve designing and maintaining both externally facing reporting and internal analytical dashboards and tools on the front end, as well as the back end data infrastructure that enables these services. The data infrastructure spans a range of data sources aligned to our advertising products, including Onsite Sponsored Products, Onsite Display, CRM and Offsite Paid Social, as well as other critical data sources such as Salesforce and Monday.com.
Location
Our London office is located in Old Street, London’s tech hub, and is home to a wide range of teams. Our open space is ideal for collaborative work and sharing ideas. We also have a large outdoor terrace, which is the perfect spot to have a team lunch or host events.
THE ROLE
We are seeking a highly motivated Reporting & Analytics Senior Analyst to join our dynamic team at Farfetch, reporting to FARFETCH Advertising’s AdTech Principal. You will be responsible for the delivery of high-quality Advertising Campaign reporting & analytics for a range of clients. These reports will cover both standard end-of-campaign reports as well as ad‑hoc analyses to inform sales pitches, troubleshoot campaigns, answer client questions and analyse our Advertising’s overall performance to improve our offering. Working with the AdTech Principal, you will support on the strategic development and optimization of our Advertising Reporting & Analytics solutions to enhance our offering and maximise client satisfaction, operational efficiency, and support ambitious business growth.
What You’ll Do
- Take responsibility for the delivery of Advertising Campaign reporting & analytics, from Report Setup, to QA & Troubleshooting, and ultimately ensuring that all Campaign Reports are successfully delivered on‑time and to meet client expectations.
- With internal and external stakeholder feedback, identify opportunities for further reporting improvements and changes that could help our business grow or increase client satisfaction.
- Conduct ad‑hoc analyses at the request of internal and external stakeholders to answer questions about the efficacy of our advertising campaigns and make recommendations for improvements or changes of strategy. These analyses may require the use of robust statistical and data methods.
- Help ensure Process Documentation is clear and up‑to‑date, making suggestions where these should be updated.
- Support the AdTech Principal in iterating and evolving our operational processes for maximum efficiency, effectiveness and scalability, flagging where resource is needed to do so. This may involve being the executional lead on growth areas including incrementality measurement & reporting, reporting automation and audience targeting technologies.
Who You Are
- You have experience in a data or analytics role, preferably in an e‑commerce or retail media environment with an understanding of online consumer behaviour.
- Experience of audience targeting and segmentation technologies highly advantageous.
- Strong analytical and quantitative skills, with a data‑driven mindset and experience using data and metrics to test theories, confirm assumptions, and measure success.
- Must have working knowledge of Excel, SQL and Python. Knowledge of R and JavaScript / Google Apps Script highly advantageous.
- A flexible, approachable attitude with good problem solving skills and able to communicate with a variety of stakeholders.
Rewards & Benefits
- Employee Pension Scheme
- Flexible Benefits Program
- Health Insurance & Critical Illness cover
- Flexible work environment (3 days a week in office, 2 days WFH)
Senior Reporting & Analytics Analyst employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Reporting & Analytics Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Farfetch. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by diving deep into Farfetch’s products and services. Understand their advertising strategies and think about how your skills can enhance their reporting and analytics. Show them you’re not just another candidate!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your enthusiasm for the role. It keeps you fresh in their minds!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Farfetch team. Let’s get you that dream job!
We think you need these skills to ace Senior Reporting & Analytics Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data analytics, especially in e-commerce. We want to see how your skills align with the role of Reporting & Analytics Senior Analyst at Farfetch.
Showcase Your Skills: Don’t forget to mention your proficiency in Excel, SQL, and Python! If you have experience with R or JavaScript, throw that in too. We love seeing candidates who can back up their claims with solid examples.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points where possible and make sure your key achievements stand out. We appreciate clarity and brevity!
Apply Through Our Website: Remember, the best way to apply is through our official careers website. It’s the safest route and ensures your application gets to us directly. We can’t wait to hear from you!
How to prepare for a job interview at Farfetch
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, and Python before the interview. Be ready to discuss how you've used these tools in past roles, especially in relation to reporting and analytics. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Understand the Advertising Landscape
Familiarise yourself with the luxury e-commerce sector and Farfetch's advertising products. Knowing how Onsite Sponsored Products and Offsite Paid Social work will help you answer questions more confidently and demonstrate your genuine interest in the role.
✨Prepare for Scenario Questions
Expect to be asked about specific scenarios where you've had to troubleshoot or improve reporting processes. Think of examples from your previous experience where you identified issues and implemented solutions, as this will highlight your problem-solving skills.
✨Showcase Your Communication Skills
Since you'll be working with various stakeholders, it's crucial to demonstrate your ability to communicate complex data insights clearly. Prepare to explain how you've successfully collaborated with teams in the past and how you can translate data into actionable recommendations.
