• Building a data team from the beginning (w/ Daniel Avancini)

  • 2025/01/26
  • 再生時間: 50 分
  • ポッドキャスト

Building a data team from the beginning (w/ Daniel Avancini)

  • サマリー

  • Daniel Avancini is the chief data officer and co-founder of Indicium—a fast-growing data consultancy started in Brazil.

    There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium’s journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pipeline with courses and an internal onboarding process that takes new employees from zero to 60 over a few months.

    The result has been phenomenal and Indicium delivers great client outcomes, but most importantly, they're building skills for hundreds of brand new data professionals.

    Data is a hard field to break into because fundamentally you can't do the real thing unless you have access to data. So any company that is investing in building scalable hiring and training processes for analytical talent is one to be excited about.

    For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

    The Analytics Engineering Podcast is sponsored by dbt Labs.

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あらすじ・解説

Daniel Avancini is the chief data officer and co-founder of Indicium—a fast-growing data consultancy started in Brazil.

There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium’s journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pipeline with courses and an internal onboarding process that takes new employees from zero to 60 over a few months.

The result has been phenomenal and Indicium delivers great client outcomes, but most importantly, they're building skills for hundreds of brand new data professionals.

Data is a hard field to break into because fundamentally you can't do the real thing unless you have access to data. So any company that is investing in building scalable hiring and training processes for analytical talent is one to be excited about.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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