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For Companies At a Glance
- Tasks: Drive data product development and deliver actionable insights for business decisions.
- Company: Join Farfetch, a global leader in luxury fashion e-commerce.
- Benefits: Enjoy health insurance, flexible work, extra days off, and training opportunities.
- Why this job: Make an impact in the luxury fashion industry while growing your data management skills.
- Qualifications: Experience in product management or analytics; SQL knowledge is a plus.
- Other info: Dynamic Porto office with a vibrant tech community and excellent career growth.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
PORTO
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.
Technology
We\\\’re on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.
The Role
We are looking for a Data Product Manager to support the development of data products that drive business insights and decision-making. In this role, you will work closely with senior PMs, Engineering, Data Science, and Analytics teams to deliver reliable, actionable data solutions. This is an excellent opportunity to grow your skills in data product management while contributing to high-impact initiatives.
What You\\\’ll Do
- Own the roadmap to implement a product strategy, ensuring alignment with business goals.
- Assist in defining and tracking key metrics to measure product performance and business impact.
- Creating and maintaining product roadmaps and documentation.
- Collaborate with Engineering, Data Science, Analytics, and business teams to deliver reliable data products.
- Contribute to data quality checks, validation, and reporting.
- Help translate business needs into actionable data initiatives and insights.
- Learn to apply product management best practices and contribute to a product-led culture.
Who You Are
- Experience as a product manager, analyst, or professional with an interest in data products and analytics.
- Comfortable with SQL, spreadsheets, and basic data analysis, and eager to learn about ETL processes, data modelling, and data pipelines.
- Strong communicator and collaborator, able to work with cross-functional teams and support stakeholders.
- Curious, analytical, and motivated to develop into a full Data Product Manager.
- Organised and detail-oriented, able to manage multiple priorities under guidance.
- Comfortable learning in ambiguous environments and taking ownership of well-defined tasks.
- Ideally with:
- Some experience or coursework in data, analytics, or product management.
- Familiarity with SQL, data analysis, or visualization tools.
- Exposure to data pipelines, ETL, or data modeling concepts is a plus.
- Interest in understanding business impact from data products.
- Strong collaboration and communication skills.
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 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 Disclosure
- 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.
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Data Product Manager employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager
✨Tip Number 1
Network like a pro! Connect with folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data product management abilities. This gives you something tangible to discuss during interviews and shows you're proactive.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Product Managers and practice your responses. We recommend using the STAR method to structure your answers and showcase your experience effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Farfetch.
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Product Manager role. Highlight any relevant projects or experiences that showcase your data product management abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data products and how your background makes you a great fit. Be sure to mention specific examples of your work that relate to the job description.
Showcase Your Analytical Skills: Since this role involves data analysis, don’t shy away from mentioning your experience with SQL, spreadsheets, or any data tools. We want to see how you've used these skills in past roles to drive business insights.
Apply Through Our Website: To ensure your application gets the attention it deserves, make sure to apply through our official careers website. This way, we can easily track your application and get back to you faster!
How to prepare for a job interview at Farfetch
✨Know Your Data
As a Data Product Manager, it's crucial to demonstrate your understanding of data products and analytics. Brush up on SQL and be ready to discuss how you've used data to drive decisions in past roles. Show them you can translate complex data into actionable insights!
✨Align with Business Goals
Familiarise yourself with Farfetch's business model and how data products can impact their marketplace. Be prepared to discuss how you would align product strategies with business objectives. This shows that you're not just a data whiz but also understand the bigger picture.
✨Collaboration is Key
Highlight your experience working with cross-functional teams. Prepare examples of how you've collaborated with engineering, data science, or analytics teams in the past. This will show that you can effectively communicate and work towards common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. Inquire about their current data initiatives or challenges they face. This not only shows your interest but also your analytical mindset and eagerness to contribute to their success.
