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Wise

Senior Analytics Manager - Growth

London
£105k – £150k/yr
Posted about 16 hours ago
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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 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 Lead Analyst to lead our Growth analytics 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 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

  • Analysing the causes of our growth (or lack thereof) and publicising those findings among key decision makers to inform a better company strategy
  • Working with your team and stakeholders to build repeatable explanatory frameworks around our growth performance
  • Working with our DS teams to build customer models to help simplify and enhance our understanding of our own performance
  • Partnering with other analytics teams to inform their local efforts with our own global perspective
  • Leading and managing a team of 3 analysts, expected to grow further

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
  • Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, feature engineering, some regression modelling, clustering techniques)
  • 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
  • Mathematical background

Desirable

  • Dbt
  • Data modelling in a warehouse context
  • Understanding of testing and experimental design

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.

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Additional Information

Some of our benefits:

  • 💰 Base salary of £105,000 - £150,000
  • 🚀 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.

Compensation: GBP 105000 - GBP 150000 - yearly

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Skills

SQL
Statistical Modelling
Python
R
Data Visualisation
Storytelling
Stakeholder Management
Dbt
Data Modelling
Experimental Design
Regression Modelling
Clustering Techniques
Feature Engineering
Leadership
Analytics
Financial Analysis

Location

London, England, United Kingdom

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