Go offline with the Player FM app!
77: How to become a BI Data Journalist w/ Kimberly Herrington
Manage episode 287006458 series 125256
Finding your dream job in the world of data and analytics might not be as hard you think! Our guest today, Kimberly Herrington stands as a testament to this idea and she joins us on AOF to talk about how you can go about identifying and capturing your ideal position in this fascinating space. Kimberly is a data journalist at a large healthcare company in Buffalo, New York, and is also the founder of Buffalo Business Intelligence. She is also a graduate of our BI Data Storytelling Accelerator Workshop and in 2020, she was voted Data Literacy Advocate of the Year. Tune into this episode and you will see why!
I am so excited to share this great chat with you, in which we hear about Kimberly's personal method for landing that dream job that you might have thought was only a wish. In our conversation, Kimberly does an amazing job of unpacking some parts of the work she does and the difference between some of the job titles in the space. We also talk about the great learnings she garnered from our workshop, and why you should sign up immediately! I learned so much from today's guest, and you will too, as we run through common mistakes that are made in the pursuit of a great job, how to leverage working at home to your advantage, and the vital importance of community! Kimberly is like a fairy of goodness, and believe me AOF, you will see exactly why I say this!
In this episode, you'll learn:
- [0:04:13] Kimberly's past work as a professional improv comedian!
- [0:09:12] Mapping the trajectory of an ideal career in data storytelling and how to start this journey.
- [0:18:19] Differentiating between a data journalist, data storyteller, and analytics translator.
- [0:24:43] Investing the time and money into valuable education and qualifications.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/77
Enjoyed the Show?
90 episodes
Manage episode 287006458 series 125256
Finding your dream job in the world of data and analytics might not be as hard you think! Our guest today, Kimberly Herrington stands as a testament to this idea and she joins us on AOF to talk about how you can go about identifying and capturing your ideal position in this fascinating space. Kimberly is a data journalist at a large healthcare company in Buffalo, New York, and is also the founder of Buffalo Business Intelligence. She is also a graduate of our BI Data Storytelling Accelerator Workshop and in 2020, she was voted Data Literacy Advocate of the Year. Tune into this episode and you will see why!
I am so excited to share this great chat with you, in which we hear about Kimberly's personal method for landing that dream job that you might have thought was only a wish. In our conversation, Kimberly does an amazing job of unpacking some parts of the work she does and the difference between some of the job titles in the space. We also talk about the great learnings she garnered from our workshop, and why you should sign up immediately! I learned so much from today's guest, and you will too, as we run through common mistakes that are made in the pursuit of a great job, how to leverage working at home to your advantage, and the vital importance of community! Kimberly is like a fairy of goodness, and believe me AOF, you will see exactly why I say this!
In this episode, you'll learn:
- [0:04:13] Kimberly's past work as a professional improv comedian!
- [0:09:12] Mapping the trajectory of an ideal career in data storytelling and how to start this journey.
- [0:18:19] Differentiating between a data journalist, data storyteller, and analytics translator.
- [0:24:43] Investing the time and money into valuable education and qualifications.
- For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/77
Enjoyed the Show?
90 episodes
All episodes
×Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.