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For Companies At a Glance
- Tasks: Drive user growth through data-driven insights and optimise referral programmes.
- Company: Join Wise, a global tech leader transforming money management.
- Benefits: Competitive salary, hybrid work, generous leave, and a 6-week sabbatical after 4 years.
- Other info: Diverse and inclusive team culture with excellent career development opportunities.
- Why this job: Be part of a mission to make money management easier and more affordable for everyone.
- Qualifications: Experience in product analytics and strong SQL skills required.
The predicted salary is between 75000 - 115000 £ per year.
Wise is a global technology company building the best way to move and manage the world’s money. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will help us create an entirely new network for the world's money.
We are looking for a Lead Product Analyst to support the biggest driver of new users at Wise, the Recommend channel (refer-a-friend). Passion for our Money Without Borders mission is essential. You will work with a product team to build scalable recommendation programs and partner with marketing teams to drive strategy and growth by providing data‑driven insights and recommendations.
Your Mission
Help Wise build the best way to move and manage the world’s money with minimal fees, maximal ease, and full speed.
How you’ll be contributing
- Own the Recommend data and analytical domains and proactively make recommendations based on insights; experience in recommendations or referrals is advantageous.
- Contribute to, own, create and track OKRs for your team, keeping them accountable throughout the quarter.
- Own measurement and attribution in Invite: collaborate with your team on how to track and quantify the growth your channel drives and how it is measured and controlled for incremental effects; report on actual performance to marketing stakeholders.
- Optimize performance per country/program by running A/B tests and in‑depth analysis into segments (RFM), lifetime values (LTVs), return on investment, etc.
- Improve how your channel forecasts performance and input recommendations to the investment framework.
- Own optimization data products in Recommend: work closely with your team to identify what data and modelling needs to be collected and automated to build data products that enable maximal sustainable growth; manage data pipelines.
Qualifications
- Background in product analytics with experience on invite or referral programs.
- Advanced SQL skills; Python or R skills are advantageous; familiar with data pipelines (dbt).
- Experience setting up and running A/B tests with strong understanding of experimental design.
- Ability to tell a story and proactively give guidance on strategy based on insights.
- Familiarity with common marketing concepts such as Payback, CAC, LTV, Contribution Margin.
- Experience with data visualization tools (Looker, PowerBI, Tableau) and storytelling ability with data.
Additional Information
- Salary: £75,000 - £115,000.
- Company Restricted Stock Units.
- Numerous great benefits in our London office.
Key Benefits
- Hybrid working.
- Paid annual holiday, sick days, parental leave and other leave opportunities.
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave.
We believe teams are strongest when they are diverse, equitable and inclusive. If you would like to find out more about what it's like to work at Wise, visit Wise.Jobs. Follow us on LinkedIn and Instagram.
Lead Product Analyst - Recommend in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Analyst - Recommend in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your passion aligns with our Money Without Borders vision, and be ready to discuss how you can contribute to the Recommend channel.
✨Tip Number 3
Practice your storytelling skills! We love candidates who can present data-driven insights in an engaging way. Think about how you can turn your analytical findings into a compelling narrative that showcases your impact.
✨Tip Number 4
Don’t forget to 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 the Wise team.
We think you need these skills to ace Lead Product Analyst - Recommend in London
Some tips for your application 🫡
Show Your Passion: Make sure to express your enthusiasm for Wise's mission of Money Without Borders. We want to see that you genuinely care about making money management easier for everyone!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when applicants customise their applications to highlight relevant experience, especially in product analytics and referral programs.
Be Data-Driven: Since this role is all about insights and recommendations, showcase your analytical skills. Use specific examples from your past work where you’ve used data to drive decisions or optimise performance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at hackajob
✨Know Your Numbers
As a Lead Product Analyst, you'll need to be comfortable with data. Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in the past. Prepare examples of A/B tests you've run and the insights you gained from them.
✨Understand the Mission
Wise is all about making money management easier for everyone. Familiarise yourself with their 'Money Without Borders' mission and think about how your experience aligns with this goal. Be prepared to share your passion for this mission during the interview.
✨Showcase Your Storytelling Skills
Data is only as good as the story you tell with it. Practice explaining complex data insights in a simple, engaging way. Think about how you can illustrate your points using real-world examples that demonstrate your analytical prowess and strategic thinking.
✨Prepare for Collaboration Questions
You'll be working closely with product and marketing teams, so expect questions about teamwork and collaboration. Have examples ready that showcase your ability to work cross-functionally, especially in driving growth through data-driven recommendations.