Rodeo
Get started

Wise

Analytics Manager - Marketing Science

London
£75k – £115k/yr
Posted 1 day ago
Sign up to applySee more jobs like this
Get notified of more jobs like this · No spam, ever

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job 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

We're looking for an Analytics Manager to join our Marketing Science team and own the strategy, execution and evolution of our marketing measurement framework. This role is your opportunity to shape how we drive measurable impact of £M’s of marketing investment across the globe.

In this role, you'll be a key leader, guiding a team of two analysts to build, maintain, and evolve our triangle of measurements from end to end.

The ideal candidate is a highly analytical hands-on leader with deep technical expertise, a strong understanding of advertising effectiveness and the ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams.

Your Mission

You will be responsible for the strategic direction of our triangle of measurements, ensuring it provides the best representation of marketing’s impact and actionable insights that drive marketing optimization across the company. If you are passionate about advertising effectiveness, intellectually curious and outcome oriented, this role is for you!

Key Responsibilities

  • Own the strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models.
  • Collaborate effectively with marketing channels, data science and data engineering, and other cross-functional teams to identify and prioritise key business needs in our measurement products.
  • Manage and develop a team of two analysts in different IC levels, fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented.
  • Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations.
  • Leverage AI tools to optimise and scale our processes, and provide deep-dives.
  • Define processes for marketing channel optimisation based on different measurement solutions available.
  • Own the end-to-end technical build of the new features of the attribution model, leveraging tools like dbt, SQL and Python to create a robust and scalable solution.
  • Generate insights to provide strategic recommendations on how to optimize marketing channels and spend.
  • Act as a subject matter expert on our whole 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.

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.

See breakdown
Save jobNot relevant
View details

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.

See breakdown
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.

See breakdown
Strong

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.

Qualifications

  • Bachelor’s degree in Statistics, Economics, or other relevant fields.
  • 4+ years of experience in a marketing analytics or data science role.
  • Leadership/management experience is advantageous but not required. This role is an opportunity to step into a leadership position guiding a team of two analysts.
  • Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Lightdash). dbt is advantageous. Experience building and deploying data pipelines and models is essential.
  • Very strong, hands-on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementation. Knowledge of Marketing Mix Models and experimentation.
  • Proven ability to think strategically about how to use and improve an analytical product to drive business value.
  • Excellent project management and stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences.
  • Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Additional Information

💰 Base salary of £75,000 - £115,000
🚀 RSU's in a growing and public company
🏥 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
🐶 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.

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 75000 - GBP 115000 - yearly

Trusted by 25,000+ job seekers

“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

Get help applying for this job

Skills

Marketing analytics
Data science
SQL
Python
Marketing attribution
Marketing mix models
Experimentation
Data visualization
Dbt
Data pipelines
Stakeholder management
Project management
Strategic planning
Team leadership
Advertising effectiveness

Location

London, England, United Kingdom

Sign up to applySee more jobs like this