Bitcoin pioneer Charlie Shrem peels back the layers on the lives and backgrounds of the world's most impactful innovators. Centering around intimate narratives, Shrem uncovers a detailed, previously unspoken story of the genesis and evolution of bitcoin, cryptocurrency, artificial intelligence, and the web3 movements. Join Shrem as he journeys through the uncharted territories of tech revolutions, revealing the human side of the stories that shaped the digital world we live in today.
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Ep 100: Marketing Analytics in Tech, Ian Murdock, Senior Manager @Twilio
Manage episode 192368469 series 1037046
Contenuto fornito da Learn Educate Discover and Sonali Mangal. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Learn Educate Discover and Sonali Mangal o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Ian Murdock, Senor Manager of Marketing Analytics at cloud communications platform company, Twilio, describes in detail what a Marketing Analyst in Tech does. Good listen for anyone interested in Data and Tech. Ian has a B.S. in Electrical Engineering from University of Houston, and MBA from Wharton, University of Pennsylvania. Some of the areas that Ian touches upon include: 1. Why Ian got interested in Analytics 2. What is Marketing Analytics 3. Examples of projects someone in this function might work on 4. Stages in a typical project 5. How analytics should drive decision making 6. Typical day in the life 7. How is success measured - timeliness, quality of analysis and ability to communicate 8. Interesting and challenging aspects of the job 9. Examples of tools he uses - R, SQL, Python, Visualization tools 10. Not so interesting aspects of this job - how if your insights are unexpected, there can be a lot of resistance, and you really need to figure out how to persuade people 11. Difference between Analytics and Data Science 12. Career progression 13. Skills/Qualities in someone who is good at this job - comfort with numbers, ability to learn new tools and languages needed for the job, communication and curiosity 14. Typical background 15. Helpful resources for interested candidates 16. 3 questions you can ask yourself to assess if you will like the job 17. Tips for applying for similar jobs Thank you for listening!! Follow the show on Twitter @LED_Curator Website www.learneducatediscover.com/ Like us on FaceBook at www.facebook.com/learneducatediscover/ Email us at hello@learneducatediscover. We will reply!! Subscribe to the show on iTunes itunes.apple.com/us/podcast/learn…ver/id1049159321
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135 episodi
Manage episode 192368469 series 1037046
Contenuto fornito da Learn Educate Discover and Sonali Mangal. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Learn Educate Discover and Sonali Mangal o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Ian Murdock, Senor Manager of Marketing Analytics at cloud communications platform company, Twilio, describes in detail what a Marketing Analyst in Tech does. Good listen for anyone interested in Data and Tech. Ian has a B.S. in Electrical Engineering from University of Houston, and MBA from Wharton, University of Pennsylvania. Some of the areas that Ian touches upon include: 1. Why Ian got interested in Analytics 2. What is Marketing Analytics 3. Examples of projects someone in this function might work on 4. Stages in a typical project 5. How analytics should drive decision making 6. Typical day in the life 7. How is success measured - timeliness, quality of analysis and ability to communicate 8. Interesting and challenging aspects of the job 9. Examples of tools he uses - R, SQL, Python, Visualization tools 10. Not so interesting aspects of this job - how if your insights are unexpected, there can be a lot of resistance, and you really need to figure out how to persuade people 11. Difference between Analytics and Data Science 12. Career progression 13. Skills/Qualities in someone who is good at this job - comfort with numbers, ability to learn new tools and languages needed for the job, communication and curiosity 14. Typical background 15. Helpful resources for interested candidates 16. 3 questions you can ask yourself to assess if you will like the job 17. Tips for applying for similar jobs Thank you for listening!! Follow the show on Twitter @LED_Curator Website www.learneducatediscover.com/ Like us on FaceBook at www.facebook.com/learneducatediscover/ Email us at hello@learneducatediscover. We will reply!! Subscribe to the show on iTunes itunes.apple.com/us/podcast/learn…ver/id1049159321
…
continue reading
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