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Inhalt bereitgestellt von Avery Smith - Data Career Coach. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Avery Smith - Data Career Coach oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
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161: Entry Level Data Jobs That Are ACTUALLY Entry Level

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Manage episode 483849996 series 3610716
Inhalt bereitgestellt von Avery Smith - Data Career Coach. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Avery Smith - Data Career Coach oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Struggling to break into data analyst roles because you have no experience? In this episode, I reveal 6 overlooked, easier-to-land entry-level data jobs that can kickstart your data career. I also provide 7 reasons why these roles are worth considering!

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training

👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa

👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator

⌚ TIMESTAMPS

00:00 - Introduction

01:43 - Six overlooked data jobs

02:09 - Reason 1: Domain-focused

03:18 - Reason 2: Easier to qualify for

04:26 - Reason 3: Less competition

05:34 - Reason 4: Still provide real data experience

06:42 - Reason 5: Often remote or hybrid

07:49 - Reason 6: Internal pivot

09:03 - Reason 7: Decent pay

🔗 CONNECT WITH AVERY

🎥 YouTube Channel: https://www.youtube.com/@averysmith

🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/

📸 Instagram: https://instagram.com/datacareerjumpstart

🎵 TikTok: https://www.tiktok.com/@verydata

💻 Website: https://www.datacareerjumpstart.com/

Mentioned in this episode:

💙 Thank you for subscribing & leaving a review

Thanks to YOU we recently became the most popular data podcast out there. Thank you so much for listening. If you haven't subscribed yet, hit subscribe. It costs $0. If you enjoy the show, leave us a 5-star rating on Spotify or Apple. It helps people like you find the show AND it helps us land better guests. Thank you so much for your support.

✨ Try Julius!

This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP

https://landadatajob.com/Julius-DCP

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly

If you enjoy this podcast, you're going to LOVE my newsletter. Every week, I send you 1 email jam-packed with tips, tricks, and resources. Don't miss it!

💌 Subscribe To My Newsletter

  continue reading

184 Episoden

Artwork
iconTeilen
 
Manage episode 483849996 series 3610716
Inhalt bereitgestellt von Avery Smith - Data Career Coach. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Avery Smith - Data Career Coach oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Struggling to break into data analyst roles because you have no experience? In this episode, I reveal 6 overlooked, easier-to-land entry-level data jobs that can kickstart your data career. I also provide 7 reasons why these roles are worth considering!

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter

🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training

👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa

👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator

⌚ TIMESTAMPS

00:00 - Introduction

01:43 - Six overlooked data jobs

02:09 - Reason 1: Domain-focused

03:18 - Reason 2: Easier to qualify for

04:26 - Reason 3: Less competition

05:34 - Reason 4: Still provide real data experience

06:42 - Reason 5: Often remote or hybrid

07:49 - Reason 6: Internal pivot

09:03 - Reason 7: Decent pay

🔗 CONNECT WITH AVERY

🎥 YouTube Channel: https://www.youtube.com/@averysmith

🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/

📸 Instagram: https://instagram.com/datacareerjumpstart

🎵 TikTok: https://www.tiktok.com/@verydata

💻 Website: https://www.datacareerjumpstart.com/

Mentioned in this episode:

💙 Thank you for subscribing & leaving a review

Thanks to YOU we recently became the most popular data podcast out there. Thank you so much for listening. If you haven't subscribed yet, hit subscribe. It costs $0. If you enjoy the show, leave us a 5-star rating on Spotify or Apple. It helps people like you find the show AND it helps us land better guests. Thank you so much for your support.

✨ Try Julius!

This episode is brought to you by Julius – your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutes–no coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP

https://landadatajob.com/Julius-DCP

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly

If you enjoy this podcast, you're going to LOVE my newsletter. Every week, I send you 1 email jam-packed with tips, tricks, and resources. Don't miss it!

💌 Subscribe To My Newsletter

  continue reading

184 Episoden

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