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What data teams can learn from finance ft. Jeremiah Lowin, CEO of Prefect

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Manage episode 317477119 series 2965274
Content provided by Census and Boris Jabes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Census and Boris Jabes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Before we get into the episode notes, I want to take a beat to thank all of you for supporting the Show over the last year. It's been amazing watching it go from a fun way to connect with some of my favorite folks in data to a full, polished podcast (featuring even more awesome people). We couldn't do it without you and I'm looking forward to giving the best and brightest of our industry the stage in the coming year.

To kick things off with season 2, we have a great episode with Jeremiah Lowin, founder and CEO of dataflow automation tool Prefect. In this 1-hour, 7-minute episode, Jeremiah and I dive into the lessons that the wider data industry can learn from the experts in data finance. Some of the major points include:

  • How he got his start in data finance
  • The difference in reporting in terms of uncertainty vs outcomes
  • The case for hearing/focusing on problems vs solutions
  • Building non-political organizational culture
  • Non-managerial growth in data careers

As always, let me know what you think of the newest episode over on Twitter at @borisjabes.

Resources:

Prefect’s Website: https://www.prefect.io/

Find Jeremiah on Twitter:https://twitter.com/jlowin

Find Jeremiah on Linkedin: https://www.linkedin.com/in/jlowin/

Prefect’s Linkedin: https://www.linkedin.com/company/prefect/

Prefect’s Twitter: https://twitter.com/PrefectIO

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Know someone you think would make an awesome guest on the podcast (you can totally nominate yourself, too)? Send your suggestions to our content and community team.

  continue reading

30 episodes

Artwork
iconShare
 
Manage episode 317477119 series 2965274
Content provided by Census and Boris Jabes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Census and Boris Jabes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Before we get into the episode notes, I want to take a beat to thank all of you for supporting the Show over the last year. It's been amazing watching it go from a fun way to connect with some of my favorite folks in data to a full, polished podcast (featuring even more awesome people). We couldn't do it without you and I'm looking forward to giving the best and brightest of our industry the stage in the coming year.

To kick things off with season 2, we have a great episode with Jeremiah Lowin, founder and CEO of dataflow automation tool Prefect. In this 1-hour, 7-minute episode, Jeremiah and I dive into the lessons that the wider data industry can learn from the experts in data finance. Some of the major points include:

  • How he got his start in data finance
  • The difference in reporting in terms of uncertainty vs outcomes
  • The case for hearing/focusing on problems vs solutions
  • Building non-political organizational culture
  • Non-managerial growth in data careers

As always, let me know what you think of the newest episode over on Twitter at @borisjabes.

Resources:

Prefect’s Website: https://www.prefect.io/

Find Jeremiah on Twitter:https://twitter.com/jlowin

Find Jeremiah on Linkedin: https://www.linkedin.com/in/jlowin/

Prefect’s Linkedin: https://www.linkedin.com/company/prefect/

Prefect’s Twitter: https://twitter.com/PrefectIO

Music by the talented Joe Stevens: https://www.joestevenssound.com/

Know someone you think would make an awesome guest on the podcast (you can totally nominate yourself, too)? Send your suggestions to our content and community team.

  continue reading

30 episodes

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