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 Data Analyst to join the Treasury Analytics team at Wise.
This role offers an opportunity to have a direct and measurable impact on Wise’s mission — money without borders. Built by and for people who live global lives. This analyst will be responsible for supporting the Treasury functions that onboard and maintain relationships with our banking partners as well as the Corporate Treasury Operations team, responsible for moving and investing our corporate cash.
This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.
What you'll be doing
Help corporate treasury teams make more effective operational and investment decisions through deep-dive analyses and performance measurement
Automate relevant operational processes to free up time for strategic initiatives (includes supporting the design of engineering solutions when needed)
Build and maintain dbt data models to surface key metrics to the teams
Build and maintain Lightdash dashboards to support decision making and operational processes
Build relationships with teams across the company, from finance and engineering to our customer support, operations, design and more, to gain the knowledge needed for accurate analysis and implementation of analytics solutions
Mentor other team members on best practices in data analysis, ensuring accuracy, consistency, and reproducibility of work while improving the pace of execution
What you'll bring
Extensive experience in data analytics
Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights
Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics
Stakeholder management skills; you know how to influence teams to deliver high-impact change, across analytics, engineering, and business specialists
Ability to translate business requests into clear analytical problems
Ability to convey complex information, tailored to the audience’s level of understanding
Ability to deliver high quality work autonomously
Nice to have
Experience working in Fintech or Financial Services
Experience automating (or supporting) operational processes
Experience using Lightdash or Superset
Knowledge of advanced analytics techniques, including the use of Python and statistical modelling
Experience managing 1-2 analysts or coaching more junior team members
Some of our benefits:
💰Base salary of £75,000 - £115,000
🚀RSU's in a growing and public company
🏥 Private Medical Insurance + Life Insurance
🏋️ Discounted gym memberships and cycle to work scheme
🏝️ A paid 6-week sabbatical leave after four years
👶 26 weeks maternity leave at full pay
💪 An annual self-development budget
🐶 Pet friendly offices
🏃♀️ Lots of fun group activities like yoga, running and boardgame nights
Find out more about our benefits in our London office.
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.
