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Data Analyst Lead - Treasury

£100,000 - £125,000 + RSU's
  1. Analytics
  2. London

This vacancy has now expired. Please see similar roles below...


Company Description

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 Lead Analyst to lead our Finance & Treasury Analytics Team in Shoreditch, London. You’ll be part of the team that helps pilot the rocket ship.


Job Description

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

  • Leading a team of analysts who will be responsible for curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company

  • You will also be the conduit between the team and the company. You’ll be expected to help stakeholders shape and understand what they want and need, and to help the team shape their work to fit that need

  • The team you’re applying for will be focussed on the following:

    • Helping us understand what’s driving our growth

    • Deep diving into particular use cases to inform strategic decisions at a product and company level

    • Prepping and communicating these results to a wider and more senior audience

    • In general, the role requires something of a unicorn who can handle some statistical modelling and interpretation, communicate and coordinate with others well, and has good commercial reasoning and awareness

Who you are

  • 5-6 years experience as an analyst and 2-5 years leading others (can be overlapping)

  • Strong analytical ability

  • Intermediate to advanced SQL skills

  • 2-4 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


Additional Information

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.

What do we offer: 

Key benefits:

  • Hybrid working 

  • 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

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.

  1. London
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