Data Science :: Data Analyst Intern

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Fabulous is a subscription app that helps users establish healthy and sustainable routines. Users start their Fabulous journey by consistently drinking a glass of water each morning: with the confidence of having established that simple routine, users are able to progress into a more meaningful routine building around decluttering, meditation, self-reflection, weight loss, etc. Fabulous teaches users how to build sustainable routines, and that knowledge can be applied to any number of activities. 

Fabulous is headquartered in Paris, but the company is fully distributed, with teammates living all over the world.

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Our Awards:

  • Editor’s app choice in more than 30 countries.
  • Apple Best Apps of 2018
  • Winner of Google’s Material Design Award
  • Best App Finalist in Google Play Awards
  • Ranked 5th Health & Fitness app

Watch our CEO’s presentation below on how we’re using behavioral economics to create better products:

You will be part of the data science team. We work cross-functionally with other teams to ensure that our colleagues have the needed data, reports, analyses, and models needed to make data-driven decisions as well as improve the user experience. Our main stakeholders are the Growth and User Acquisition teams and we are expanding our services and products further to support other teams.

In this role, you will get exposed to our data warehouse, data pipelines, and models. Depending on the current priorities and your practical skill set, you can find yourself contributing to:

  • Data & Analytics Engineering to consolidate our data pipelines
  • Conducting Ad-Hoc Analyses and building Ad-Hoc dashboards to support business teams and help them monitor their metrics   
  • Exploratory Product Analyses to look for insights and come up with actionable recommendations for the Growth team 

What We’re Looking For:

  • Pursuing a degree in Engineering, Computer Science or Applied Mathematics
  • Good understanding of basic engineering practices (agile methodology, testing, clean coding, peer-reviewing, continuous integration, git workflows, etc…) 
  • Solid theoretical and practical knowledge around Analytics, Statistics, and Data in general 
  • Good written and verbal communication skills (English) to be able to refine requirements from your business stakeholders, discuss your methodology with your teammates and present your results when needed to higher-ups and other colleagues from other teams
  • Willingness to learn and adapt your skills to an agile production-focused context. Practical experience here is a great bonus 
  • Practical knowledge and relevant experience in SQL (We use dbt for data engineering, BigQuery as a data warehouse). You can also use R or Jupyter for analyses purposes as well 

Good to Have:

  • Prior experience with some of the tools we use in our Data-Stak (Amplitude, dbt, BigQuery, Metabase)
  • Strong engineering practical experience (production) 
  • Deep understanding of statistics and AB-Testing 
  • Prior experience in an agile environment

If you’d like to join a startup with a great product, and more importantly, great potential: drop us a line at [email protected]

Even if you don’t fulfill all our requirements, feel free to send us an application if you think that you have the attitude and mindset needed to learn, grow, and succeed at Fabulous.

Location: Paris or Remote.

You can also attach your CV and cover letter directly below:

Tap here to Apply via email