🏡 City: North of France ➡️ Nantes ➡️ Hong Kong ➡️ Paris
💼 Job title: BI Manager
🎓 Studies: Engineering at Ecole Centrale de Nantes
🔮 Languages: French 🇫🇷, English 🇬🇧, reminiscences of German words 🇩🇪
👣 How do you commute to work? I ride my Peugeot bike 🙃
✈️ Travel dreams: Japan
🎬 Favorite film: Too hard to choose one, so I’ll say Green Book, Léon and Good Will Hunting
📌 How did you get into the delivery space?
I got into the delivery business as Data Analyst at Auchan Direct, which back then was the
home delivery service of the well-known French grocer. I was cleaning, mining and transforming data into insights to improve our customers' experience as well as optimise the deliveries. It was my first experience in the logistics sector and in the wonderful world of data.
After that, I joined Stuart as a Business Intelligence (BI) analyst to continue the journey in the sustainable logistics sector.
📌 What’s the business impact of the business intelligence team at Stuart?
Before diving into the impact of the BI team, let’s take a step back and quickly explain the current data landscape at Stuart. We’ve adopted a hybrid analytics structure consisting of several teams. There are local Business Analytics teams focused on country operations; global Product Analytics and Data Science teams focused on product improvements; a global Data Engineering team; and then there’s us, the BI team, a global team enabling all these teams to work with reliable data. In other words, the BI team is a central function aimed at reducing the lead time to insights for all analysts or anyone who wants to make decisions backed by data.
We have two areas of focus. First, we work hand in hand with data engineers to build and maintain a self-service data platform and second, we make sure all data generated by Stuart business and product is modelled, documented and accessible in our data warehouse.
📌 What does your job consist of and how has your scope of work changed since you joined us?
My job mainly consists of managing a team of three analytics engineers, owning data models and building data pipelines for the rest of the company. I structure this new team, nurture it and mentor my team members so they become the go-to references in their data domain at Stuart.
In addition, I spend time building data pipelines and working with our data platform, suggesting ideas and improvements to the data platform engineers.
Lastly, I work closely with all stakeholders who need data to build our data roadmap, ensuring that we have clear communication and alignment about what data gets integrated and when.
Back in November 2018 when I joined, I was the only BI team member working together with three data engineers on the foundations of the data warehouse. Today, the BI team is composed of 10 analytics engineers in an established Data department. My work also recently changed from being an individual contributor to a manager. One of the things that hasn’t changed is my passion for data detective quests! 🕵️♀️
📌 What tools or processes did your team implement so far? What’s coming up next?
In the past year, we carefully followed the evolution of the data landscape and implemented best-in-class tools to speed up our work and focus on value-adding tasks.
We implemented Fivetran, a data ingestion tool that saves us a lot of time to load data from our backend database or from tools such as Intercom, Stripe, Google Ads etc. to our data warehouse.
More recently, we adopted dbt as our main data modeling framework in the team. Next, we’re looking to onboard data analysts from other teams in this new analytics engineering era and enhance the way data and analytics are documented at Stuart.
📌 Personally speaking, what's your go-to productivity hack?
I use Reclaim.ai to book 2 to 3 hours of focus work every morning in my agenda and I turn off all notifications in that period. I’ve been doing this for several months and it works really well.
Reclaim is also super useful as it books time for my personal appointments in my work calendar (and no, I don’t work for Reclaim 😅!).
📌 What's the most memorable place you've ever visited?
I would put Kyrgyzstan at the very top of the list! I was amazed by the purity of the landscapes (similar to the good old Windows XP meadow background) composed of high-reaching mountains and vast lakes… One of the most beautiful places I visited was the Kel-Suu lake. After a day of driving on dirt roads on a plateau at 3000 meters above sea level, we ended up in the middle of nowhere and trekked up to the lake, surrounded by marmots, pikas, yaks and (wild!) horses. I felt really privileged to sleep and wake up in the morning in this gorgeous place.
📌 If you had to delete all but three apps from your smartphone, which ones would you keep?
I would keep Spotify to keep on training my blind test skills with any kind of music, Mot du Jour to learn one new peculiar French word every day. (Yesterday it was “subodorer”, which means to guess, to sense—to be suspicious, basically.) I’d definitely keep Google Maps to know where I am and avoid getting lost in Parisian streets with my bike.