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
-
Location
London
Team
Analytics
Locations
London
Description
Wise Platform helps banks, software companies and large enterprises leverage Wise’s infrastructure to offer their customers world-class payments products through their own channels. Our partners make
Reference
23b92604-08ca-4001-96cd-d8db6d1babd2
Expiry Date
01/01/0001
Salary
-
Location
London
Team
Analytics
Locations
London
Description
Here’s how you’ll be contributing to the Servicing Platform team: You’ll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can p
Reference
0342c2f3-0cee-4ff8-8a7d-c5313e56d449
Expiry Date
01/01/0001
Salary
£75,000 - £100,000
Location
London
Team
Analytics
Locations
London
Description
We are looking for a (Lead) Growth Marketing Analyst to support our newly formed Growth Analytics function for Marketing. Our team has been formed to support how we understand what drives growth for o
Reference
f9f63ae4-6e4a-4203-85c0-1327baa9d6ab
Expiry Date
01/01/0001
Salary
starting from S$120k - S$162k SGD per annum + RSUs
Location
Singapore
Team
Analytics
Locations
Singapore
Description
Salary range: starting from S$120k - S$162k SGD per annum + RSUsWe are looking for a Lead Analyst to support our cross-functional teams based across APAC. It’s a role that will allow you to have a big
Reference
d341e5dd-9844-48e0-a2eb-255f52318010
Expiry Date
01/01/0001
Salary
16,680,000 HUF - 22,260,000 HUF
Location
Budapest
Team
Analytics
Locations
Budapest
Description
We’re looking for a Senior Analyst who is passionate about our mission of Money Without Borders to partner with a global People Services team to drive data-based decision-making and deliver impactful
Reference
ad2c12ec-c71a-4013-aa98-d60461dc82bc
Expiry Date
01/01/0001
Salary
€52,200 - €69,000
Location
Tallinn
Team
Analytics
Locations
Tallinn
Description
Senior Product Analyst - ScreeningWe’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help driv
Reference
dc6edfe1-28ac-40d8-86a1-fec8c48cd7fa
Expiry Date
01/01/0001
Salary
-
Location
London
Team
Analytics
Locations
London
Description
The Platform Engineering Tribe:We are the driving force behind Wise, making sure everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and conf
Reference
d4212673-0f9c-4137-afd9-ca4714c095de
Expiry Date
01/01/0001
Salary
-
Location
London
Team
Analytics
Locations
London
Description
The Security SquadOur Platform Tribe is building the foundations for Wise’s rapid pace of innovation and customer trust. By providing an internal platform as a product, we create a best-in-class devel
Reference
0faf7edf-426a-485d-9ac4-482581d20d25
Expiry Date
01/01/0001
Salary
£60,000 - £75,000
Location
London
Team
Analytics
Locations
London
Description
We are looking for a Product Analyst to support SEO product, one of the most cost effective acquisition channels at Wise. Currency converter landing pages is an example of the type of product that we
Reference
2df1c270-9ebf-4969-bfeb-5346ec1f95e8
Expiry Date
01/01/0001
Salary
13,320,000 - 16,680,000 HUF annually
Location
Budapest
Team
Analytics
Locations
Budapest
Description
We are seeking a passionate Product Analyst to join our KYC Controls team within the Fincrime squad. The team is responsible for building a robust KYC program that effectively mitigates financial crim
Reference
ca56d280-c336-4e8d-9e79-11c10b86e1d7
Expiry Date
01/01/0001
Articles you might like
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