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Full time
Technology

Senior Data Analyst - Growth

WiseLondon🇬🇧United KingdomPosted 15 Jul 2026

Quick Overview

Salary
£60k - £85k/yr
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

hackajob is collaborating with Wise to connect them with exceptional professionals for this role.

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 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 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 Senior Data Analyst to join our Growth and Strategic Finance Team in 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 generate insights that 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 or regional level

    • Understand our customer segments and cohorts, and how they contribute to our growth

    • Tie our customer acquisition and activity to marketing or product initiatives, to measure the realised financial return of those initiatives

Who you are:

  • 3 years experience in similar roles

  • Mathematical or quantitative background

  • Strong SQL skills

  • Familiarity with Python/R

  • Strong analytical ability

  • Decent understanding of stats and statistical modelling

  • Data visualisation and storytelling ability

  • Ability to self organise and manage stakeholders

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

Desirable

  • DBT

  • Data modelling in a warehouse context

  • Understanding of testing and experimental design

  • Legally authorised to work in the UK

Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.

Additional Information

Some of our benefits:

Base salary of £60,000 - £85,000

RSU's in a growing and public company

Work from (almost) anywhere in the world for up to 90 days a year

Flexible working - you're trusted to do the right thing and be responsible

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

Annual Mission Days festival

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.

Skills

SQL
Python
dbt

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