Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own the Recommend data domain and deliver insights to drive user growth.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for personal growth.
- Other info: Be part of a dynamic team focused on innovation and collaboration.
- Why this job: Make a real impact by optimising user experiences and driving sustainable growth.
- Qualifications: Experience in data analysis and a passion for product development.
The predicted salary is between 60000 - 80000 £ per year.
Wise is a global technology company building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people send money abroad or make international payments, Wise simplifies lives and saves money. The Recommend channel powers the biggest driver of new users through scalable refer-a-friend programs and data insights.
As a Lead Product Analyst – Recommend at Wise, you will own the Recommend data domain and proactively deliver insights with recommendations. You will contribute to OKRs, track team performance, and collaborate on measurement and attribution for growth channels. Additionally, you will run A/B tests, analyze segments for optimization, and build data products to enable sustainable growth.
London, United Kingdom Wise Lead Product Analyst – Recommend employer: Experimentation Jobs
Contact Detail:
Experimentation Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London, United Kingdom Wise Lead Product Analyst – Recommend
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to product analysis. We recommend using the STAR method to structure your answers – it’s a game changer!
✨Tip Number 3
Showcase your analytical skills with real examples. Bring data insights or case studies to the table during interviews to demonstrate how you can contribute to Wise’s growth.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who are keen to join us directly.
We think you need these skills to ace London, United Kingdom Wise Lead Product Analyst – Recommend
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us see your enthusiasm for data analysis! Share specific examples of how you've used data to drive decisions or improve processes in the past. We love seeing candidates who are genuinely excited about making an impact through insights.
Tailor Your Application: Make sure to customise your application to fit the Lead Product Analyst role at Wise. Highlight your experience with A/B testing and data products, and connect your skills to our mission of simplifying money management. We want to know why you’re a perfect fit for us!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, so avoid jargon unless it's relevant to the role. Remember, we want to understand your experience quickly!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Wise!
How to prepare for a job interview at Experimentation Jobs
✨Know Your Data Inside Out
As a Lead Product Analyst, you'll be expected to have a strong grasp of data analysis. Brush up on your knowledge of A/B testing and segmentation techniques. Be ready to discuss how you've used data to drive insights and recommendations in previous roles.
✨Understand Wise's Mission
Familiarise yourself with Wise's core values and mission. They focus on simplifying money management and minimising fees. Show that you understand how the Recommend channel fits into this vision and how your role can contribute to it.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to product analytics. Think about how you would approach measuring team performance or optimising referral programmes. Use specific examples from your past experiences to illustrate your thought process.
✨Show Your Collaborative Spirit
Collaboration is key in this role. Be prepared to discuss how you've worked with cross-functional teams in the past. Highlight any experiences where you’ve contributed to OKRs or collaborated on measurement strategies, as this will demonstrate your ability to work effectively within a team.