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#097: Spotting and Assessing Analytics Talent with Simon Rumble

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Manage episode 216582086 series 62283
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 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.

Tell me about a time you produced an amazing analysis. Please provide your response in the form of a Jupyter notebook that uses Python or R (or both!) to pull words from a corpus that contains all words in the OED stored in a BigQuery table. I mean, that's a fair question to ask, right? No? Well, what questions and techniques are effective for assessing an analyst's likelihood of succeeding in your organization? How should those techniques differ when looking for a technical analyst as opposed to a more business-oriented one? On this episode of the show -- recorded while our recording service clearly thought it was in a job interview that it needed to deliberately tank -- Simon Rumble from Snowflake Analytics joined the gang to share ideas on the topic.

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

253 episodes

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Manage episode 216582086 series 62283
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer 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.

Tell me about a time you produced an amazing analysis. Please provide your response in the form of a Jupyter notebook that uses Python or R (or both!) to pull words from a corpus that contains all words in the OED stored in a BigQuery table. I mean, that's a fair question to ask, right? No? Well, what questions and techniques are effective for assessing an analyst's likelihood of succeeding in your organization? How should those techniques differ when looking for a technical analyst as opposed to a more business-oriented one? On this episode of the show -- recorded while our recording service clearly thought it was in a job interview that it needed to deliberately tank -- Simon Rumble from Snowflake Analytics joined the gang to share ideas on the topic.

For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

253 episodes

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