Table of Contents

  1. Data transformation
  2. Data testing
  3. Implementations + deployment
  4. Documentation + metadata
  5. The modern data stack
  6. Data dream teams

How to structure a data team

David has worked in analytics for 5+ years and helped to grow two analytics teams from their infancy. He co-founded Enertel AI, a data analytics and artificial intelligence company that aims to reduce the friction between clean energy operators and wholesale power markets.

Over the last four years, Snaptravel's data team has grown from just one analyst, to almost a dozen, and on the way they've tried five (!) different data team structures. In this session, David will share their journey, and discuss the pros and cons of each structure.

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