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 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 be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job DescriptionWe are looking for a Lead Product Analyst to support the biggest driver of new users at Wise, the Recommend channel (think refer-a-friend). You should be passionate about our mission of Money Without Borders as this role can have a critical impact on the mission. You will work with a product team to build scalable recommendation programs and partner up with marketing teams to drive strategy and growth by providing data driven insights and recommendations.
In this role, you will have a unique opportunity to work with a rich dataset and uncover insights as well as build tools to help people around the world be aware of Wise.
Your mission:
At Wise our mission is ‘Building the best way to move and manage the world's money
Min fees. Max ease. Full speed.' Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.
Here’s how you’ll be contributing:
Own the Recommend data and analytical domains and proactively make recommendations based on insights with experience in recommendations or referrals advantageous
Contribute to, own, create and track OKRs for your team, keeping them accountable throughout the quarter
Own measurement & attribution in Invite: you 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
Optimise performance per country/program by running A/B tests and deep analysis into segments (RFM), lifetime values (LTVs), return on investment etc.
Improve how your channel forecasts performance and inputs recommendations to the investment framework
Own optimisation data products in Recommend by working closely with your team, you identify what data and modelling needs to be collected & automated to build data products that enable maximal sustainable growth. This includes managing data pipelines
A bit about you:
You have a background working in either product analytics and have ideally worked on invite or referral programs before
You have advanced SQL skills; Python/R skills are advantageous; familiar with data pipelines (we use dbt)
You’ve successfully set up and run A/B tests before and have a strong understanding of testing and experimental design
Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights
You are familiar with common marketing concepts (how different channels work, Payback, CAC, LTV, Contribution Margin, etc.)
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
What do we offer:
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
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Skills Required
- Background in product analytics
- Experience with invite or referral programs
- Advanced SQL skills
- Python or R programming
- Familiarity with data pipelines (dbt)
- Experience designing and running A/B tests and experimental design
- Ability to translate data into strategic recommendations and storytelling
- Familiarity with marketing metrics (Payback, CAC, LTV, Contribution Margin)
- Experience with data visualization tools (Looker, Power BI, Tableau)
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global minimum of 33 paid days off (36 in U.S. hubs) plus a 6‑week paid sabbatical every four years and extras like volunteer or “Me” days indicate substantial time‑off depth.
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Parental & Family Support — A global minimum of 18 weeks fully paid parental leave for birth or adoption after one year, along with adoption and fertility support, underscores robust family support.
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Flexible Benefits — Work‑from‑anywhere up to 90 days per year after six months and flexible working principles provide notable geographic mobility and scheduling latitude.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
