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Wise

Senior Data Analyst - Wise Pricing Platform

London
£60k – £85k/yr
Posted about 8 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.

Job Description

More about our mission and what we offer.

We are looking for a Senior Data Analyst to join the Wise Platform Pricing Analytics team at Wise.

Wise Platform brings the reach and low cost of Wise to business partners - read more about Wise Platform here.

The Wise Platform Pricing Analytics team manages the pricing model and P&L analysis for Wise Platform. The team supports Wise Platform by calculating prices for partners, monitoring and reviewing the financial sustainability of the program, and finding opportunities to continue improving the growth and profitability of the company.

This is an IC2 role. For more information on our Analytics Career Map and levelling structure, click here.

What You'll Be Doing

  • Identify and propose pricing and cost improvements for Wise Platform, ensuring solutions directly link to achieving profitability and growth outcomes
  • Investigate complex cost data, and influence improvements in upstream data quality and revenue and cost allocation methodologies within the Product Economics domain
  • Explain the underlying product economics that contribute to prices, and liaise with subject matter experts to gather detailed knowledge on economic drivers
  • Monitor and review the financial performance of Wise Platform, surfacing insightful and actionable insights on the main drivers of profitability
  • Contribute to improvements to the pricing model by applying knowledge of costs and cost drivers to appropriate pricing strategies

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.

Start with a chat, not a search bar

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.

P

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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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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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Only hits

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

What You'll Bring

  • 3+ years of experience in data analytics
  • Stakeholder management skills; you know how to influence teams to deliver high-impact change, across analytics, engineering, and business specialists
  • Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights
  • Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics

Nice To Have But Not Essential

  • Experience working on Pricing, especially B2B Pricing
  • Experience working in Fintech or Financial Services
  • Experience using Lightdash or Superset
  • Knowledge of advanced analytics techniques, including the use of Python and statistical modelling

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

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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.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Data Analytics
Stakeholder Management
SQL
Data Modelling
Pricing Strategies
Financial Performance Monitoring
Cost Analysis
Python
Statistical Modelling

Location

London, England, United Kingdom

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