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From Customer Care to Data Analyst at one of the most successful German fintechs: Cyril’s story

Cyril started his career in Customer Care, but changed course to become a Data Analyst with Le Wagon. He's now working for one of the most innovative companies in the world, helping them make sense of their data. This is his story.
Hey Cyril, tell us a little bit about your professional background
I grew up in Paris, finished my A-Levels and then began working as a customer care specialist. After working in this area for 12 years and becoming team lead and then head of the Customer Care Department in a Berlin Startup, I felt like it was time for a change. 

I came across the Le Wagon Bootcamp and instantly thought that this might become my next career step.

What was your experience with the Le Wagon bootcamp
The bootcamp itself is quite a challenge, because there is so much input, knowledge and tips that you need to process in a short period of time. But when the end of the bootcamp came near, and I cleaned our final project dataset, all the skills learned in the bootcamp suddenly fell into place and I felt a huge moment of satisfaction. It was the first time I did not think about the syntaxing all the time, but simply programmed while focussing on the end goal.

What did you do after the bootcamp? 
My experience reassured me that this is what I wanted to do every day. Since I was also curious and interested about working in fintech, I applied to N26. After 6 months of job hunting, N26 invited me to a job interview. I felt blessed because this company was actually among my top choices. The coding skills learned and confidence gained played a huge part in the application process. Thanks to the bootcamp, I did a really good job in the technical assignment part of the interview which was an exploratory analysis of a dataset consisting of several tables, with a Jupyter Notebook in Python. N26 chose to offer me the job, and I officially started to work as a junior Data Analyst in the Operation Data Analytics Team in February 2022.

What do you do as a Data Analyst at N26?
The best part about my position is the variety of tasks and tools used. It goes from creating transformation models and query optimization to data visualization and generating interactive dashboards. I collaborate with various teams, both technical and non-technical, such as Data Engineers, Business intelligence analysts or Salesforces engineers to only name a few.

While working, I mainly use SQL and Python and my job will almost always involve manipulating tables containing millions of rows and dozens (if not hundreds) of columns. I can’t tell you why but for some reason this makes me really happy. In my job, I can also reach back to my experiences working in customer care, as I’m often working on Customer Care and Banking Operations Performance Metrics as well as analyzing banking related products.

What is your resume and what's next for you?
I’m very happy about all that I learned in a little under one year in my first technical role, but I also quickly got a sense of the vast amount of things there is yet to be learned and mastered, which can be quite humbling at times. My main focus for the months and years to come is deepening my technical skills as I want to get better and quicker in order to tackle more complex projects.

Would you like to become a Data Analyst like Cyril in a matter of weeks?
Check out our Data Analytics Bootcamp starting April in Berlin and Munich. Do you have questions? Don't hesitate to reach out to our team. We're happy to answer all of your questions! 
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