Interview: David Baussart, Data Analyst at uptime, uses his computer like a crystal ball, to analyze our data and predict the future of our product.


Tell us a bit about yourself:

I'm an aerospace engineer who never worked in the aerospace industry. I have ~5 years experience in data analytics, in startups and at LinkedIn. . I also was the co-founder and CTO of a fashion-tech startup (a lot of JS), right before joining uptime. I love coding and travelling. I probably code at least 3 hours a day, and I had the chance to live in 7 different countries.


Can you tell us about one of your days?

🕤 09.30am After a 40 minutes bike trip, I say hi to my colleagues and II pour myself a first coffee. Then, I check Slack (I don't use emails), my to-do list and my calendar. I have a meeting with Tom, our Sales Ops Manager, to discuss our needs for Analytics, to help our operations team on taking decisions.


🕙 09.45am Proceeding with my TODOs. I'm a Data Analyst: my job is to transform data into actionnable insights. Being the only person on our Data team, I get to do a lot of different things, which is super *super* cool:

◼︎ I do some data engineering, like extracting/loading data into our data warehouse (eg. using Stitch), or transforming data into tables and views (we use dbt).
◼︎ I also have a "business" side to my job. I need to understand how the business works so I can better consult our teams, and build more relevant tools. This mostly translates into discovery calls with all our different teams.
◼︎ Of course, Data Analytics tasks, like building our dashboards, writing/maintaining SQL, writing/maintaining documentation, delivering tools...
◼︎ And being the only one on the team, I'm also a part-time project manager with limited bandwidth that needs to prioritize, but always available to help colleague level up their SQL skills.
On my todo-list today – finish a view in dbt to help with a new dashboard we're building for our Customer Success team. Once the view is finished, the dashboard should be pretty straightforward. We use Metabase, an Open Source data visualisation tool that is super easy to use.


🕧 12:30pm Lunch time – we go grab something with the team to eat on our amazing rooftop terrace. We have plenty of options around the office to taste different things, one of our colleague even created a collaborative map to list all the cool spots available nearby. After lunch we grab a coffee (still enjoying the sun on the rooftop), before getting back to work.


🕜 01:30pm Preparing the call I have at 2pm with Tom to discuss a new need. Right after the meeting, I will write some documentation in Notion to help us remember what was said, and explain what can be done to address the needs/problems. These docs then help me to organise my work and are essential since I work on a lot of different topics.


🕒 03.00pm Getting back to my TODOs, Tom and I agreed on an ETA in two weeks.


🕖 07.00pm Biking back home after a productive day – will probably order food tonight, watch something and tinker with JavaScript if I feel like it (as I said, I love coding).


Which team do you collaborate with the most?

My role being transversal, I work with all teams, from Customer Success and Sales, to our Operations team and our R&D team.

What is the perfect work methodology for a data analyst?

A Data Analyst needs a few important skills to be successful :

◼︎Technical skills: most importantly, he/she needs to know how to write clean and complex SQL, with an analytical and a critical mindset.
◼︎ Prioritization skills: data analytics are like YouTube or Tetris, you can't beat it, there is always more. A good Data Analyst knows what's most important, knows when and how to say "no".
◼︎Soft skills: you need to be a good communicator, to be able to understand what are the business needs and how to explain clearly insights.


According to you, how much data analysis helps preparing tomorrow's industry?

Data Analytics helps create useful information from data, analytics is knowledge, and it's vital for all business. It's actually been around for a long time! In 1895, a guy named Devens was speaking about Business Intelligence, and how a banker was able to get richer than the competition by gathering information and acting upon it early. In the last few years, it has grown at a very fast pace, following the rate at which we produce data. The winning businesses will be the businesses that *know*, like the banker in 1895.


Can you describe the work culture at uptime?

It's a-ma-zing! Augustin and Amaury, our co-founders, have managed to set a very healthy culture. It's a perfect mix of kindness and transparency, the kind of environment you can progress and learn at 10x speed. Every person on the team is very skilled at what they do, which is super motivating.


Any tips for other Data Analysts?

Never stop learning (sounds cheesy, but it's actually a life and death issue!). If you feel like I could help, please feel free to contact me on LinkedIn 😉

Meet with David on LinkedIn 💬


David's favorite tools: 



The fastest, easiest way to share data and analytics inside your company. An open source Business Intelligence server you can install in 5 minutes.


Stitch rapidly moves data from 130+ sources into a data warehouse so you can get to answers faster, no coding required.




The open source data transformation tool made for anyone that knows SQL. It enables data analysts and engineers to transform, test and document data in the cloud data warehouse.