42 subscribers
Go offline with the Player FM app!
Podcasts Worth a Listen
SPONSORED


Building a data team from the beginning (w/ Daniel Avancini)
Manage episode 463198775 series 2954568
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.
75 episodes
Manage episode 463198775 series 2954568
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.
75 episodes
All episodes
×

1 The evolution of databases (w/ Wolfram Schulte) 54:17

1 Building a data team from the beginning (w/ Daniel Avancini) 50:12

1 Data engineering at Snowflake (w/ Rahul Jain) 44:04

1 The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer) 50:37

1 Making data movement as reliable as electricity (w/ Taylor Brown) 46:40


1 The data jobs to be done (w/ Erik Bernhardsson) 42:55

1 Coalesce 2024 edition: What’s next for data teams? (w/ Scott Breitenother) 44:23

1 The current state of the AI ecosystem (w/ Julia Schottenstein) 45:44

1 Creating value from GenAI in the enterprise (w/ Nisha Paliwal) 45:20

1 Developer productivity on GitHub Copilot (w/ Eirini Kalliamvakou) 53:59

1 The rapid experimentation of AI agents (w/ Yohei Nakajima) 45:55

1 Funnel analytics and AI models for event sequences (w/ Misha Panko) 44:09

Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.