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
60000 - 75000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
Wise is on a mission to facilitate borderless transactions – instant, transparent, and eventually free. As we process over $100 billion annually for 16+ million customers, our cloud infrastructure is
Reference
9328f781-c63b-472d-8115-65043b9a745f
Expiry Date
01/01/0001
Salary
60000 - 75000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
We are looking for a results-oriented Senior Data Analyst to join our Marketing Analytics team at Wise. Our mission, "Money Without Borders," inspires us to create the best ways to move and manage mon
Reference
87e328d5-d349-4f36-9170-0bf48a217f6f
Expiry Date
01/01/0001
Salary
5775 - 7225 EUR Monthly
Location
Tallinn
Team
Analytics
Locations
Tallinn
Description
We are looking for a Senior Data Analytics Manager to lead analytics for the Compliance Monitoring & Testing branch of the Compliance & Internal Audit Analytics team at Wise.You’ll partner with Compli
Reference
41c84d2c-6b8e-4213-87b3-26a96ca3d985
Expiry Date
01/01/0001
Salary
£125,000 - £150,000
Location
London
Team
Analytics
Locations
London
Description
Analytics Director - Group FinanceOur Mission:At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of
Reference
dc60a6e5-c3ed-4a2a-b3c7-b8106dcb5dba
Expiry Date
01/01/0001
Salary
£100000 - £125000
Location
London
Team
Analytics
Locations
London
Description
THE ROLEWe’re looking for a Senior Analytics Manager to lead product analytics for the Onboarding Squad at Wise. You’ll join a squad leadership team comprising Product, Engineering, Design and Researc
Reference
bcee47a9-0f32-4fd0-9f11-9329a1229cec
Expiry Date
01/01/0001
Salary
100000 - 125000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
The Role:We are looking for a Senior Data Analytics Manager to lead analytics for the Internal Audit branch of the Compliance & Internal Audit Analytics team at Wise.You’ll partner with Internal Audit
Reference
ba9d316d-d1e8-4c86-855b-d9603fb9d42e
Expiry Date
01/01/0001
Salary
£60,000 - £75,000
Location
London
Team
Analytics
Locations
London
Description
THE ROLEWe’re looking for a Senior Product Analyst (Individual Contributor) to join the Hold team and Account squad. The Hold team allows international people to hold in 40+ currencies, configure bala
Reference
0666467e-7dc6-4dd5-b1d1-343488b206d5
Expiry Date
01/01/0001
Salary
85000 - 115000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
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 learning, real-time tr
Reference
b43567ef-31c4-45e8-8dea-970e9c91dfde
Expiry Date
01/01/0001
Salary
60000 - 75000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
THE ROLEWe are looking for a Data Analyst to join the Internal Audit branch of the Compliance & Internal Audit Analytics team at Wise.You’ll partner with Internal Audit (IA) to develop and implement t
Reference
6d07ae73-ef0f-4f53-aafb-b977a2c8db50
Expiry Date
01/01/0001
Salary
-
Location
London
Team
Analytics
Locations
London
Description
We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London.Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customer
Reference
d7bf2e77-ff52-4d3e-8be6-e84686851908
Expiry Date
01/01/0001
Articles you might like
.jpeg)
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
.png)
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