- Compensation: GBP 75,000 - GBP 115,000 - yearly
Company Description
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.
Lead Product Analyst
We 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.
Responsibilities
- 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: 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, identify what data and modelling needs to be collected & automated to build data products that enable maximal sustainable growth. This includes managing data pipelines
Qualifications
- Background working in product analytics and have ideally worked on invite or referral programs before
- Advanced SQL skills; Python/R skills are advantageous; familiar with data pipelines (we use dbt)
- 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
- Familiar with common marketing concepts (how different channels work, Payback, CAC, LTV, Contribution Margin, etc.)
- Experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
Benefits
- 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
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