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- Tasks: Lead data analysis for referral programs and drive growth strategies.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, hybrid working, generous leave, and stock options.
- Other info: Diverse and inclusive team culture with excellent career development opportunities.
- Why this job: Make a real impact on how the world moves money with innovative solutions.
- 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 employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Analyst - Recommend
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨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 goal. We love candidates who genuinely care about what we do!
✨Tip Number 3
Practice your storytelling skills! When discussing your past experiences, frame them in a way that highlights your analytical prowess and how you've driven growth through data insights. We want to see how you think!
✨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 us you’re serious about joining the Wise team.
We think you need these skills to ace Lead Product Analyst - Recommend
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your passion for Wise's mission shine through. We want to see how excited you are about making money management easier for everyone!
Tailor Your Experience: Make sure to highlight your background in product analytics and any experience with referral programs. We love seeing how your skills align with what we're looking for, so don’t hold back!
Be Data-Driven: Since this role is all about insights and recommendations, include examples of how you've used data to drive decisions in the past. We’re keen on seeing your analytical prowess in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the Lead Product Analyst position. We can’t wait to hear from you!
How to prepare for a job interview at hackajob
✨Know Your Numbers
As a Lead Product Analyst, you'll be expected to have a strong grasp of metrics like LTV, CAC, and ROI. Brush up on these concepts before your interview and be ready to discuss how you've used them in past roles. This will show your potential employer that you understand the financial implications of your recommendations.
✨Showcase Your SQL Skills
Since advanced SQL skills are crucial for this role, make sure you can demonstrate your proficiency. Prepare to answer technical questions or even solve problems on the spot. Practising common SQL queries and being able to explain your thought process will definitely impress the interviewers.
✨A/B Testing Know-How
Be prepared to talk about your experience with A/B testing and experimental design. Have specific examples ready where you've successfully implemented tests and what insights you gained from them. This will highlight your analytical skills and your ability to drive data-driven decisions.
✨Tell a Compelling Story
Your ability to tell a story with data is key. Think about how you can present your past experiences in a narrative format that highlights your impact. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewers to see your contributions and thought processes.