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Data Analyst 🔥

👋 A little about us

GitBook is a modern documentation platform. Our ambition is to empower teams through a new document standard suited for modern work and collaboration.

GitBook is now used by over 2M users and thousands of teams such as DeliveryHero, Netflix, Decathlon, or Celonis. With close to 25,000 sign-ups per month and 10% revenue growth month-over-month, we're looking to expand our Data team to actively contribute to our success.

Who uses GitBook?

Some cool data applications use us to power their public documentation: Census, Castor, OpenMetadata and many more! (Snyk) We also have great organisations using us to build their internal knowledge base: Netflix, Decathlon or Adobe.


🤔 Why are we opening this position ?

You will be joining Rémi [1], our Head of Data, to spread insights across the company. As a product-led company with high growth, we strongly believe that data should be involved in any decision process: from product to sales.

On the team philosophy, we want to get people interested in working on any part of the data journey: data engineering, data analytics and data science. It doesn't mean being an expert in all three fields but we believe that any data folks should aim to understand and cover most of the scope.


🙌 What will you be doing?

As a Data Analyst, you will:

  • collaborate with stakeholders (Go-To-Market and Product) to define KPIs and success metrics to maximize Company and Team level performance
  • discover and explain trends across data sources, potential opportunities for growth or improvement
  • being a top contributor to our data warehouse using Dbt and BigQuery
  • being able to perform advanced product analysis using Amplitude
  • design and develop comprehensive dashboards to provide self-serve analytics solutions to different stakeholders across the business
  • create trainings and documentation to ensure adoption of our data solutions and recommendations
  • shaping the dynamics and processes of the Data team, including our onboarding, hiring, and team goals
  • having a full understanding of the data stack


  1. https://www.linkedin.com/in/remigonnu/

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