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Wise

Senior Data Analyst - CRM Analytics

London
£60k – £85k/yr
Posted 12 days 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 seeking an experienced data analyst to join our CRM Analytics team, supporting both Personal and Business customer segments. As a key member of the Marketing Analytics organisation, you will report to the Manager of CRM Analytics and play a critical role in driving our lifecycle marketing capabilities through rigorous data analysis and actionable insights.

This is a high-impact role where you'll collaborate closely with our CRM, Product, Data Science, and Growth teams. You will help define and execute the measurement framework for CRM initiatives, ensure data quality is top-notch, and provide analytical expertise to truly optimise customer engagement strategies. Your work will directly influence how we acquire, engage, and retain customers by building and running data-driven CRM programs.

Key Responsibilities

  • Translate complex business questions into clear analytical frameworks, delivering insights that directly drive strategic decisions.
  • Design and execute in-depth analyses to evaluate campaign performance, customer segmentation, and engagement patterns across the customer lifecycle.
  • Apply advanced testing methodologies (A/B testing, incrementality) to measure and significantly improve the effectiveness of CRM campaigns.
  • Develop and maintain critical dashboards and reporting tools that track key CRM metrics and provide actionable insights for marketing teams.
  • Collaborate closely with Analytics Engineering, CRM technology, and Product teams to ensure data integrity and help define requirements for new initiatives.
  • Build and optimise customer segmentation models to enhance targeting and personalisation strategies.
  • Contribute to the development of the overall CRM analytics strategy and measurement framework.

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.

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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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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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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.

Required Qualifications

  • Proven, hands-on experience in marketing analytics, specifically within CRM or lifecycle marketing domains.
  • Strong technical skillset, especially advanced SQL proficiency to handle complex data manipulation in a modern data warehouse (like Snowflake).
  • Experience with data modeling (dbt) and visualisation tools to create insightful and easy-to-digest dashboards and reports.
  • Comfortable with a programming language such as Python or R for data analysis.
  • Solid understanding of experimental design and statistical testing methodologies.
  • Excellent communication skills with the ability to translate complex analyses into clear, actionable business recommendations.
  • Experience working cross-functionally with marketing and product teams.

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Preferred Qualifications

  • Knowledge of marketing automation platforms and CRM tools.
  • Familiarity with various customer segmentation techniques and personalisation frameworks.

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 Analysis
SQL
Data Modeling
Visualization Tools
Python
R
Experimental Design
Statistical Testing
Communication Skills
Customer Segmentation
CRM Analytics
Lifecycle Marketing
A/B Testing
Data Integrity
Marketing Automation
Personalization

Location

London, England, United Kingdom

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