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WISE

Senior Data Analyst - Finance & Treasury

Posted 7 Hours Ago
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London, Greater London, England
Mid level
London, Greater London, England
Mid level
The Senior Data Analyst at Wise will be responsible for curating datasets, conducting statistical modeling, and analyzing financial data to drive business decisions. The role involves understanding growth drivers, cost generation analysis, and developing pricing strategies to encourage company growth. Strong analytical, SQL, and data visualization skills are required.
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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

Your Mission:

At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into the growth of the company. We need timely, accurate and scalable financial data to make accurate business decisions inside the company.

Due to continued and rapid growth we’re on the hunt for a Data Analyst to join our Growth and Strategic Finance Team in Shoreditch, London. You’ll be part of the team that helps pilot the rocket ship.
What you’ll be doing:

  • Your principal responsibility will be to make an impact and lead us to better decisions for the company and our customers

  • Curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company

  • Depending on the project you’re working on, you’ll doing the following:

    • Helping us understand what’s driving our growth at a company level

    • Helping us analyse how we’re generating costs and helping our teams come up with strategic plans to drive them down (this is very central to our Mission) 

    • Helping us develop better pricing strategies so that we can incentivise the right behaviour internally, and also encourage our growth

Who you are:

  • Strong analytical ability

  • Intermediate to advanced SQL skills

  • 2-6 years experience in similar roles 

  • Data visualisation and storytelling ability

  • Ability to self organise and manage stakeholders

  • Demonstration of impact/going above and beyond basic role requirements

  • Python/R

  • Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling)

  • Mathematical background

Desirable:

  • DBT

  • Data modelling in a warehouse context

  • Understanding of testing and experimental design

  • Legally authorised to work in the UK

Some important stuff we would like you to know

To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.

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.
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.

Top Skills

Python
R
SQL

WISE London, England Office

London, United Kingdom

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