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 DescriptionWe'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.
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.
💰Base salary of £75,000 - £115,000
🚀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.
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 Required
- Bachelor's degree in Statistics, Economics, or other relevant fields
- 4+ years of experience in a marketing analytics or data science role
- Proficiency in SQL
- Advanced proficiency in Python
- Experience with data visualization tools
- Very strong knowledge of marketing attribution models
- Excellent project management and stakeholder management skills
Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global paid time off is presented as 33–36 days including local public holidays, plus three “Me Days,” with a paid six‑week sabbatical and stipend after four years. Work-from-anywhere for up to 90 days per year after six months further complements time away and flexibility.
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Equity Value & Accessibility — RSUs are granted to all employees, enabling broad ownership in the company. Equity is positioned as a standard, company‑wide component of total rewards.
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Parental & Family Support — Parental leave is described as generous across markets, with U.S. pages listing up to 18 weeks fully paid for birthing parents and 8 weeks for non‑birthing parents. Additional family‑oriented supports such as onsite Mother’s Rooms and abortion travel benefits are noted in certain locations.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
