My journey to analytics at Wise
A bit about me
Sometimes I ponder what 20 year old me – just about to start university, freshly moved to the UK from Hungary – would think about me today. I bet she would be confused; after all, I went from studying Anthropology to working in Analytics, a field I was certain would be closed to me since I knew I just wasn’t that good in maths.
I had an early aptitude for it but when the subject became more difficult I struggled with performing on the same level. In the end, I – alongside my teachers – accepted that I was just not good at maths – but then they implied that girls rarely are – and I was advised to focus on paths more reliant on Arts & Humanities or Soft Sciences. If not for the compulsory research methodology courses at university I probably would not have realised that you don’t need to be a maths genius to enjoy analytics or be good at it. Nor do you need it to learn how to code. It’s much more important to have a problem-solving mindset, good critical thinking, communication skills, and a strong attention to detail.
How I found my role
So I applied for my first analytics job out of university after which I went on to do a Master’s in Economic Policy. While studying for my Master’s I interned at a retail bank which was great for picking up practical SQL and Python skills but felt a bit lacking when it came to providing a mission I could stand behind. That problem was solved when while scouring LinkedIn for interesting opportunities I came across Wise and after a few interviews I started as a business development analyst working with the sales teams selling Wise’s enterprise product offering. That was over 3 years ago and now I work with the Wise Platform team as a product analyst, helping the team understand customer behaviour and prioritise the most impactful opportunities for our platform partners.
Working with Wise Platform
Wise Platform works with a large variety of partners from neobanks to software companies, allowing them to tap into the Wise network and giving them and their customers access to cheaper, faster international payments. The team is truly multicultural with members in all major offices from various different backgrounds that allow us to create the best product offering possible. It also means you have many go-to people for travel advice! 🙂 I get to work on various projects from scoping out new product developments to improving our existing data structure and unlike in previous companies I am not simply a ‘data-fetcher’ but a partner in the whole process. And to think that I almost missed out on this opportunity just because I believed I wasn’t good enough for analytics!
#notlikeothergirls
I know my experience is not an isolated one; I’ve had conversations with many women who felt intimidated by career paths usually associated with STEM subjects. Who felt that in order to do well in careers associated with those subjects they needed to be at the top of their class to show that they had potential (#notlikeothergirls). Who felt that it was exhausting to keep pushing back against the stereotype of women being bad at maths and not belonging in those fields and just went with an alternative that was marketed as better suited to them.
Who as a result ended up foregoing a career in a field like analytics or had to battle rounds and rounds of imposter syndrome since their analytics journey came with a few detours.
Unsurprisingly, this is not good for the improvement of the field of analytics. It is well-known that the underrepresentation of women in data science increases the risk of biased interpretation of data and can result in data-driven policies being implemented – or data-driven products being created – that don’t serve them well. So not only are women missing out on great career opportunities, we are all missing out on great solutions and products simply because the people working on the numbers behind them are way too similar.
This year’s theme for International Women’s Day is #BreaktheBias and I’ve tried to do so by urging women I know to question their own internalised biases. I’ve challenged sweeping statements like ‘I can’t do this because I’m just bad at maths’ and empowered friends and colleagues to take on projects where they needed to apply analytical thinking. While I for once did not set up any metrics to measure it, on an anecdotal level the experiment has been successful.
You can do analytics too
You can do analytics. Even if you were bad at maths in school, even if you only took up coding as a hobby – or if you’re only thinking about it now! As long as you make sure you have your problem-solving and critical thinking hat on, the only thing you need is the right topic and the right environment. And talking about the right environment, would you look at that, we’re hiring at Wise so if any of this resonates with you, don’t hesitate to hit that apply button!
Tags
Roles you might be interested in
Salary
5600- 5600 SGD Monthly
Location
Singapore
Team
Analytics
Locations
Singapore
Description
How you’ll contribute to our team of product analysts: As a Product Analytics Intern (6 month fixed term) part of the Spend Squad, you'll join our team of passionate product analysts, product managers
Reference
7365919c-a4ed-49d2-9e7e-fd360c89d59c
Expiry Date
01/01/0001
Salary
75000 - 125000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
We’re looking for a Staff Product Analyst (Senior Individual Contributor) to join the Account Squad and help shape our product strategy as we work towards the goal of building the best account in the
Reference
08e9b53a-f6f1-48ab-bc9b-ff2a15c84aba
Expiry Date
01/01/0001
Salary
75000 - 100000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
We’re looking for a Lead Product Analyst (Individual Contributor) to join the Onboarding squad and the Account Access & Recovery team. The team owns key core flows helping guide users as they register
Reference
dfff8c3b-a1c0-437a-b640-7828b20adfa9
Expiry Date
01/01/0001
Salary
-
Location
Hyderabad
Team
Analytics
Locations
Hyderabad
Description
We’re looking for a Senior Data Analyst to join our People Analytics team. The People Analytics team empowers the People tribe to elevate our Wisers' experience by leveraging data and insights. As a S
Reference
9b7b394d-b4f1-447b-8132-02c731bc0946
Expiry Date
01/01/0001
Salary
15000 - 21000 BRL Monthly
Location
São Paulo
Team
Analytics
Locations
São Paulo
Description
This role focuses on enhancing our self-service reporting capabilities within Visier and establishing the robust data foundations that allow our analytics team to deliver accurate, high-impact insight
Reference
1433724a-3589-44d5-86ef-293d3777b702
Expiry Date
01/01/0001
Salary
75000 - 100000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
You’ll be joining the Grow Squad. We manage a complex, multi-product portfolio including Current Accounts, Savings, Investments, and Digital Assets.As an Analyst in the Risk, Controls and Operations P
Reference
57282a6e-ffd0-4c6f-a0fa-c1df7ce969a4
Expiry Date
01/01/0001
Salary
6916.67 - 8750 EUR Monthly
Location
Tallinn
Team
Analytics
Locations
Tallinn
Description
We’re looking for a Staff Data Scientist to join our growing AML Team in Tallinn, Estonia. This role is a unique opportunity to work behind the scenes of company transactions, develop our risk detecti
Reference
98aebc5c-9d85-4544-8f62-9d8790e9ff88
Expiry Date
01/01/0001
Salary
85000 - 115000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
Data Science Lead - ScreeningWe’re looking for a Data Science Lead to join our Screening team in London. This role is a unique opportunity to work on building out the Data Science team and machine lea
Reference
26cf3d1a-6756-43f8-b4bb-27a2e50aa394
Expiry Date
01/01/0001
Salary
85000 - 115000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
About the Role: The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learni
Reference
aeea229b-e36f-4246-9fa1-8c3112e8b9c9
Expiry Date
01/01/0001
Salary
75000 - 100000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
We’re looking for a Lead Analyst who is passionate about our mission of Money Without Borders to join our LATAM MEA expansion product team, to help drive data-driven decisions that would support build
Reference
5e725938-abcc-4c16-9269-27d850d425a0
Expiry Date
01/01/0001
Articles you might like
Teaser
People profileContent Type
BlogPublish date
10/02/2025
Summary
Yara Burvin, Analytics Engineer in London, shares how she built a game-changing data hub that transformed FinCrime operations at Wise. Read more below 🚀 "At Wise, I have the trust fr
by
DNU-Amani Albertsen
Teaser
Early careersContent Type
BlogPublish date
09/25/2025
Summary
Apurv, an Analytics lead in Singapore, shares why he thinks hiring early career talent is essential to his team’s growth and success. "Be prepared to guide them as they move from wor
by
Holly Sellers
Teaser
People profileContent Type
BlogPublish date
08/29/2025
Summary
From complex data to global teamwork – our interns tackle real challenges that shape our product. Read more 🚀 "Your actions as an intern do not live in an 'intern-only' sandbox, rath
by
Sapphire Birmingham
Teaser
People profileContent Type
BlogPublish date
02/11/2025
Summary
Karin Tüür, Analyst Lead, shares her journey from Product Analyst to leading the Screening team. She talks about the dynamic role of Analytics in tackling compliance challenges, driving operat
by
Verona Hasani
Teaser
People profileContent Type
BlogPublish date
12/15/2023
Summary
I joined Wise as a Graduate Data Scientist in September 2022 – what a ride it has been since then! I relocated from the Tallinn office to London, we rebranded from blue to green, I’m n
Teaser
Our workContent Type
BlogPublish date
07/20/2023
Summary
The power of analytics hackathons at Wise Imagine a gathering of brilliant minds, all fuelled by the excitement of a hackathon, where innovation and collaboration are at the for