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- Tasks: Lead a dynamic analytics team and drive data strategy for luxury resale.
- Company: Join Luxclusif, a pioneering tech-driven B2B platform in luxury fashion.
- Benefits: Enjoy health insurance, flexible work, extra days off, and training opportunities.
- Why this job: Make an impact in the luxury resale market with cutting-edge analytics and AI tools.
- Qualifications: Experience in data analytics, leadership skills, and proficiency in SQL and Python.
- Other info: Work in a vibrant Porto hub with a diverse and inclusive team.
The predicted salary is between 36000 - 60000 £ per year.
Luxclusif is a technology-driven global B2B platform founded in 2013 and part of Farfetch since 2021. Dedicated to redefining the luxury paradigm by offering premium pre-owned fashion to a global audience, Luxclusif has pioneered the global luxury resale market, with advanced data-driven solutions to facilitate the buying and selling of high-end pre-owned items. With operations spread across the globe and strategic warehouses in key locations, we ensure a seamless supply of luxury goods, ensuring item curation, quality control, operations, logistics to technology integrations and sales, delivering an unmatched resale experience for brands, retailers, and end-customers.
Our R&D team is responsible for designing, developing, and evolving the internal products that power our business. As a B2B company specialising in second-hand luxury items, we rely on technology to optimise every stage of our operations, from buying and inbound logistics to selling and post-sales support. We are a global team with members across Portugal, Brazil, and the Philippines.
Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.
As an Analytics Manager, you will join our Porto hub to manage our Product Analytics Team and develop the best-in-line analytics suite of products that power our business areas. You will pair with Product Managers and Data Engineers to define, plan, and execute our Data strategy in collaboration with Data oriented Stakeholders.
WHAT YOU'LL DO
- Lead and Inspire the Team: Lead, mentor, and oversee the daily workflow of the data analytics team. You will foster a culture of continuous learning, promote the development of analytical skills, and establish best practices.
- Bridge Business & Data: Act as the primary liaison between the data analytics team and the business units. You will manage relationships and expectations, champion data-driven decision-making, and ensure that complex technical insights are translated into clear business value.
- Define Data Strategy: Partner with key business stakeholders to define and execute the data analytics strategy, translating strategic goals into impactful data projects.
- Collaborate with Data Engineering: Work closely with the Data Engineering team to evolve the company's data infrastructure. You will be the voice of the analytics team, ensuring data quality and availability requirements are met to support advanced reporting.
- Drive Self-Service Analytics: Manage and evolve our self-service analytics platform, ensuring a robust environment that empowers business teams to make data-driven decisions independently.
- Evolve with AI: Explore and adopt AI-powered tools to enhance analytical efficiency. You will have the opportunity to grow significantly in this area, applying AI to automate insights and solve business challenges.
WHO YOU ARE
- Strategic Connector: You excel at bridging the gap between technical data and business strategy. You have excellent communication skills and can influence stakeholders at all levels.
- Collaborative Team Player: You strongly believe in teamwork. You are eager to work side-by-side with Data Engineers to build a scalable data ecosystem, understanding that your success depends on the quality of the data pipeline.
- Experienced Leader: You have a proven track record in a data analytics role with experience mentoring or leading a team. You know how to guide others while delivering high-quality hands-on work.
- Tech Savvy & Analytical: You have strong skills in SQL and Python, with a data-driven mindset to test theories and measure success.
- AI Growth Mindset: You are curious about the future of analytics. You want to learn how to leverage AI tools to upgrade your team's output, looking for practical applications rather than building backend models.
- Problem Solver: A flexible, approachable attitude with good problem-solving skills, able to adapt to changing business needs.
REWARDS & BENEFITS
- Health insurance for the whole family, flexible working environment and well-being support and tools
- Extra days off, sabbatical program and days for you to give back for the community
- Training opportunities and free access to Udemy
- Flexible benefits program
EQUAL OPPORTUNITIES STATEMENT
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.
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.
Analytics Manager in London employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, or even hit up LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your analytical prowess. This is your chance to demonstrate what you can do beyond just a CV. Make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to analytics. Think about how you can bridge the gap between data and business strategy. We want to see you in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a tech-savvy team that values innovation and collaboration. Don’t miss out!
We think you need these skills to ace Analytics Manager in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data analytics! Share specific examples of how you've used data to drive decisions or improve processes in your previous roles. We love seeing candidates who are genuinely excited about the power of data.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Analytics Manager role. Highlight relevant experiences and skills that align with our job description. This shows us that you’ve done your homework and understand what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply through our official website! It’s the best way to ensure your application reaches us directly. Plus, it helps us keep track of all applications efficiently. We can’t wait to hear from you!
How to prepare for a job interview at Farfetch
✨Know Your Data Inside Out
As an Analytics Manager, you'll need to demonstrate a solid understanding of data analytics principles. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Showcase Your Leadership Skills
Since you'll be leading a team, it's crucial to highlight your leadership experience. Think of specific instances where you've mentored others or fostered a culture of continuous learning. Be prepared to discuss how you inspire your team and manage relationships with stakeholders.
✨Bridge the Gap Between Business and Data
You'll act as a liaison between technical teams and business units, so practice explaining technical concepts in simple terms. Prepare to share examples of how you've successfully communicated data-driven insights to non-technical stakeholders, ensuring they understand the business value.
✨Embrace AI and Innovation
With a focus on evolving with AI, be ready to discuss any experience you have with AI-powered tools. Share your thoughts on how AI can enhance analytical efficiency and provide practical applications you've explored. This will show your forward-thinking mindset and adaptability to new technologies.
