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 are looking for an analytical and curious Senior Marketing Data Analyst to join our Marketing Science team. Our mission is to fuel sustainable growth by measuring marketing effectiveness - building a unified measurement framework based on experimentation, Marketing Mix Models and tracked attribution.
Your Mission
In this role, you will help us build our best representation of marketing effectiveness by enhancing and maintaining our attribution model. You will partner with our Lead Analyst to own the code and define our attribution logic while partnering with marketing teams to ensure every £ is spent efficiently.
Key Responsibilities
Maintain and enhance our attribution model logic. Use dbt to maintain data pipelines, refine attribution rules, and implement new logic as our channel mix and marketing effectiveness understanding evolves.
Ensure the accuracy of marketing data integrity in our attribution model.
Work with the Data Science, Acquisition and marketing teams to evolve our model.
Build dashboards that allow marketing stakeholders to self-serve daily performance metrics.
Translate complex datasets and modelling results into clear, non-technical narratives for marketing stakeholders.
Execute detailed, in-depth analyses to identify improvement opportunity areas in our current measurement capabilities and propose solutions.
You will help us improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps.
You will contribute defining impactful OKRs to work throughout the half of the year.
Qualifications
Bachelor’s degree in Statistics, Economics, or other relevant fields.
2+ years of experience in a marketing analytics or data analytics role.
Advanced SQL skills, Python/R and dbt are advantageous.
You are able to demonstrate that you can tell a story with data and proactively give guidance on strategy based on insights.
Experience working with attribution models/MMP data is advantageous.
Experience with data visualisation tools (example, Looker, Power BI, LightDash).
Understanding of performance marketing is advantageous.
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.
Top Skills
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.
Gallery
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.
