Senior Data Analyst - Treasury
London, United Kingdom
Wise
160+ countries, 40 currencies, one account. Save when you send, spend and manage your money internationally.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 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 Description
Senior Data Analyst - Treasury
We’re looking for a Senior Data Analyst to join our Treasury team in London. This role is a unique opportunity to have a direct impact on Wise’s mission, grow as an analyst, and help deliver great product experiences for our customers and drive our growth.
Here’s how you’ll be contributing to the Treasury team
- You’ll be one of the owners of Treasury’s core data models, ensuring Treasury’s insights data and analytics assets are accurate, comprehensive, discoverable and leveraged by product teams
- You’ll derive actionable insights from Treasury’s data to inform product decisions, from adjusting pricing on a product to reflect cost more accurately to designing controls for risk mitigation in stressed scenarios
- You’ll partner with Product Managers, Controllers, and other Analysts to set KPIs and KRIs for Treasury and monitor the impact of new product features on risk and liquidity
- You’ll need to build relationships with product teams across the company, from finance and engineering to our customer support, operations, design and more
- You’ll be the go-to person for Treasury’s data at Wise and regularly present an update to the wider team on your new insights and impact of product changes
Qualifications
A bit about you:
- You have a background working in similar roles
- You have advanced SQL skills and on-the-job experience with at least one programming language (Python/R/Java)
- You are able to automate complex processes and construct robust data pipelines
- You have a mathematical background and experience with statistical modelling
- You are able to translate business requests into clear analytical problems
- You’ve worked in cross functional teams involving Product, Engineering, Design and Research, and can manage senior stakeholders
- You’re a self-starter who is comfortable working autonomously
Some extra skills that would be great:
- Familiarity with ledgers or other financial data
- Experience using DBT for data pipelines
- Experience with data visualisation tools such as Looker, Superset
- Experience in data modelling
Additional Information
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.
Every Wiser should feel that they can be themselves at work.Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to share their contributions towards mission zero and able to progress in their careers.
Having diverse teams that reflect our diverse customer base helps us build a better product. We can be more creative and empathetic to our customer’s needs and make sure we leave no-one behind on our journey to mission-zero.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data pipelines dbt Engineering Finance Java KPIs Looker Pipelines Python R Research SQL Statistics Superset
Perks/benefits: Career development
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