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!
“We are so stratified across the world, in that we are all still having the same data barrier problems.” — [0:32:32]
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3 Knowledge Bombs
- Kimberly on Your Dream Job - It is imperative to first do the work to figure out who you are, what your strengths are, and what you love! You can then double down on these things by choosing what you want to keep, start and stop from your current range of responsibilities.
- Kimberly on the Different Job Descriptions in Data - There are differences and relationships between the roles of a data journalist, a data storyteller and an analytics storyteller. Knowing your particular role and function is vital!
- Kimberly on Growth and Patience - When we feel discomfort, that is sign of growth! Often we just need to exercise some care and take the necessary steps in order to reach that next level of our work.
In this episode, you'll learn:
- [04:13] - Kimberly's past work as a professional improv comedian!
- [05:37] - Getting to grips with Kimberly's work in the data and analytics community.
- [09:12] - Mapping the trajectory of an ideal career in data storytelling and how to start this journey.
- [18:19] - Differentiating between different job roles; data journalist, data storyteller, and analytics translator.
- [24:43] - Investing the time and money into valuable education and qualifications.
- [26:28] - A look at Kimberly's upward path after attending one of our educational events!
- [31:45] - Frustrating steps in Kimberly's progress and the most difficult moments she has faced.
- [33:21] - Kimberly's advice to listeners struggling against discomfort and adversity right now!
- [36:20] - Three actionable steps from Kimberly to get started!
- [42:26] - The inspiration that Kimberly draws from Susannah Fox and Stacey Abrams!
- [44:27] - A wonderful and surprising book recommendation from Kimberly.
- [46:26] - Social determinants of health and researching the digital divide; areas that are lighting Kimberly up!
- Right-click here and save-as to download this episode to your computer.
“You can't be what you can't see. So you have to see it for yourself in order to make it happen.” — [0:33:11]
Links and Resources mentioned in this episode:
- Connect to Kimberly via LinkedIn | #BuffaloBusinessIntelligence Group
- Check out Buffalo Business Intelligence on Facebook
- Kimberly's fav books and resources:
- Tidying Up with Marie Kondo on how to simplify your life!
- Kristina Halvorson's Content Strategy for the Web and how it can be applied to the data field.
- Jordan Morrow for great insight into data literacy.
- Susannah Fox's approaches to technology.
- Stacey Abrams for inspiration and inclusion.
- Kristina Halvorson's Content Strategy for the Web and how it can be applied to the data field.
- Sign up for our next BI Data Storytelling Accelerator Workshop!
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