ABOUT WISE
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 life 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.
Job DescriptionWe’re looking for a Lead Data Analyst (Senior Individual Contributor) to join the Spend Squad.
The Spend Squad enables our customers to spend from their Wise accounts in a sustainable manner, ensuring that we’re able to grow our product in-line with our squad-level KPIs.
The product economics of our Cards is foundational to everything we do in Spend. We leverage insights from product economics in order to drive further price drops for our customers, enabling them to save more money when they spend, and to inform our marketing decisions that will further propel our growth.
In this influential role, you will have the opportunity to coach and mentor a team (2) of talented analysts, guiding them to uncover insights and develop strategies to improve our customer transaction experience.
This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.
WHAT YOU'LL BE DOING
Improve and develop Data Models for Spend Economics to scalable and accurately forecast our products' unit-economics.
Derive insights from our unit-economics; deep-dive into transaction-level data to understand customer behaviour, payment patterns, and drivers to ensure sustainable unit economics.
Help leadership make data-driven decisions and prioritize the most impactful opportunities to ensure we are scaling our product sustainably and enable Wise to reach Mission Zero
Collaborate with Finance & Accounting to ensure our economics are accurate and can be trusted for use by our stakeholders.
Providing regular feedback and guidance to junior team members, supporting their growth and development
WHAT YOU’LL BRING
Excellent SQL skills and experience designing and developing scalable data models, preferably using DBT.
Experience using Python and Airflow to build complex data models with a proven ability to identify and reconcile discrepancies across multiple data sources and deep dive into root causes.
Strong product thinking skills, with the ability to connect user behavior and product features to financial outcomes, helping to shape strategies that balance user value with business growth.
Experience collaborating with cross-functional teams (Finance, Product Managers, Engineers) to understand our product unit economics and to provide actionable insights to optimise our product’s margin.
You have an ability to Influence. You’ll help build conviction on high-value areas and challenging the team if there are faster or more effective ways
NICE TO HAVE BUT NOT ESSENTIAL
You have previous experience leading Analysts
Prior experience working with product unit economics
Prior exposure to payment networks or spend-related products
- Base salary: £75k-100k gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Read more about our full benefits offering here
#LI-CH1
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.
