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Pedram Navid on data activation, how data can get political, reverse ETL, and how data practitioners should forge alliances.

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Manage episode 334201484 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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://ppacc.player.fm/legal.

Pedram Navid is the Head of Data at Hightouch where he leads advocacy for data practitioners, community-building, and the internal data stack. Prior to Hightouch, he has worked as a data engineer building up a modern data stack from the ground up and as a data scientist where he helped scale analytics at a major bank. He contributes to open-source packages and creates data memes on Twitter.
In this episode, we cover a range of topics including:
- How he entered the world of data science
- Reverse ETL
- How can new data science professionals evaluate various roles in data science
- How can interviewees evaluate team culture
- How data gets political within a company
- How should data practitioners forge alliances
- What is data activation
- How he manages data teams

  continue reading

172 episodes

Artwork
iconShare
 
Manage episode 334201484 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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://ppacc.player.fm/legal.

Pedram Navid is the Head of Data at Hightouch where he leads advocacy for data practitioners, community-building, and the internal data stack. Prior to Hightouch, he has worked as a data engineer building up a modern data stack from the ground up and as a data scientist where he helped scale analytics at a major bank. He contributes to open-source packages and creates data memes on Twitter.
In this episode, we cover a range of topics including:
- How he entered the world of data science
- Reverse ETL
- How can new data science professionals evaluate various roles in data science
- How can interviewees evaluate team culture
- How data gets political within a company
- How should data practitioners forge alliances
- What is data activation
- How he manages data teams

  continue reading

172 episodes

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