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#117 (Rebroadcast): What’s in a Job Title? Maybe the Data Shows with Maryam Jahanshahi
Arşivlenmiş dizi ("Etkin olmayan yayın" status)
When? This feed was archived on August 12, 2021 11:08 (). Last successful fetch was on July 10, 2021 13:18 ()
Why? Etkin olmayan yayın status. Sunucularımız bir süredir geçerli bir podcast beslemesi alamadı
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 292784263 series 2681163
The value of an organization’s data is heavily impacted by how that data gets put to use. And the people responsible for doing that—analysts and data scientists—seem to be perpetually in short supply. As of this rebroadcast, there is ample demand for moderately priced unicorns who have at least five years of experience in SQL, Google Analytics, Python, Adobe Launch, statistical modelling, R, dashboard design, Excel, Power BI, Google Tag Manager, and Adobe Analytics… with excellent time management and communication skills. Perhaps, if you’re a hiring manager, this episode might be one you suggest that your recruiters listen to? Just tell them it includes the exact job description for that open req you’ve got!
For complete show notes including transcript and links to items mentioned in the show, see the original show page: #117: What’s in a Job Title? Maybe the Data Shows with Maryam Jahanshahi
What’s in a job title? that which we call a senior data scientist by any other job title would model as predictively…
This, dear listener, is why the hosts of this podcast crunch data rather than dabble in iambic pentameter. With sincere apologies to William Shakespeare, we sat down with Maryam Jahanshahi to discuss job titles, job descriptions, and the research, experiments, and analysis that she has conducted as a research scientist at Datapeople (formerly TapRecruit), specifically relating to data science and analytics roles. The discussion was intriguing and enlightening!
The post #117 (Rebroadcast): What’s in a Job Title? Maybe the Data Shows with Maryam Jahanshahi appeared first on The Digital Analytics Power Hour: Data and Analytics Podcast.
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#117 (Rebroadcast): What’s in a Job Title? Maybe the Data Shows with Maryam Jahanshahi
The Digital Analytics Power Hour: Data and Analytics Podcast
Arşivlenmiş dizi ("Etkin olmayan yayın" status)
When? This feed was archived on August 12, 2021 11:08 (). Last successful fetch was on July 10, 2021 13:18 ()
Why? Etkin olmayan yayın status. Sunucularımız bir süredir geçerli bir podcast beslemesi alamadı
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 292784263 series 2681163
The value of an organization’s data is heavily impacted by how that data gets put to use. And the people responsible for doing that—analysts and data scientists—seem to be perpetually in short supply. As of this rebroadcast, there is ample demand for moderately priced unicorns who have at least five years of experience in SQL, Google Analytics, Python, Adobe Launch, statistical modelling, R, dashboard design, Excel, Power BI, Google Tag Manager, and Adobe Analytics… with excellent time management and communication skills. Perhaps, if you’re a hiring manager, this episode might be one you suggest that your recruiters listen to? Just tell them it includes the exact job description for that open req you’ve got!
For complete show notes including transcript and links to items mentioned in the show, see the original show page: #117: What’s in a Job Title? Maybe the Data Shows with Maryam Jahanshahi
What’s in a job title? that which we call a senior data scientist by any other job title would model as predictively…
This, dear listener, is why the hosts of this podcast crunch data rather than dabble in iambic pentameter. With sincere apologies to William Shakespeare, we sat down with Maryam Jahanshahi to discuss job titles, job descriptions, and the research, experiments, and analysis that she has conducted as a research scientist at Datapeople (formerly TapRecruit), specifically relating to data science and analytics roles. The discussion was intriguing and enlightening!
The post #117 (Rebroadcast): What’s in a Job Title? Maybe the Data Shows with Maryam Jahanshahi appeared first on The Digital Analytics Power Hour: Data and Analytics Podcast.
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