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Career Skills for Data Professionals with Wes Kao, Co-Founder of Maven

Richie and Wes explore communication skills, tailoring to your audience, persuasion vs information, feedback and behavioral change, intellectual honesty, conflict management, career advice for data practitioners, and much more.
· 45 min przeczytaj
Wes Kao

Gość

Wes Kao

Wes Kao is an entrepreneur, marketer, coach, and advisor who writes at newsletter.weskao.com. She is co-founder of Maven, an edtech company that raised $25M from First Round and Andreessen Horowitz. Previously, she co-founded the altMBA with bestselling author Seth Godin.

Richie Cotton

Host

Richie Cotton

Richie helps individuals and organizations get better at using data and AI. He's been a data scientist since before it was called data science, and has written two books and created many DataCamp courses on the subject. He is a host of the DataFramed podcast, and runs DataCamp's webinar program.

Chat with AI Richie about every episode of DataFramed - all data champs welcome!

Key Quotes

Data people tend to be logical and rational, and they like numbers. When you have this mindset, it's easy to assume that the numbers will speak for themselves. The data will speak for itself. In my experience, very few things actually speak for themselves. Even if they could, your audience would probably appreciate a bit of narrative around what is your interpretation of what these numbers mean. So I think the biggest thing for data folks is to not just offer a fact or a data point as a standalone thing, but to offer your interpretation around what does this mean? What's the so what there? How can you help this make sense for your audience?

Career skills are a combination of a bunch of separate skills. It's not just one skill. Being good at your career involves being great at execution, thinking about strategy, being a good communicator, project management, dealing with conflict, negotiating. There's so many small negotiations that happen on a daily or weekly basis at work. so managing up, managing down, managing expectations, pushing back, being able to advocate for your ideas in a way that's effective and productive. There's so much nuance that goes into every one of those things, which is why I think it's a lifelong endeavor to get good at work.

Key Takeaways

  1. Don’t rely on data to speak for itself. Always provide interpretation, explaining the “so what” of your data insights to make it relevant and actionable for your audience.

  2. Adjust your communication style based on who you’re speaking to. Use technical language with peers but simplify and offer more context when presenting to non-technical stakeholders like product managers or executives.

  3. Apply the BROL framework (Behavior, Root Cause, Outcome, Levers) to break down and solve complex issues in data projects. This structured approach helps pinpoint actionable steps toward desired outcomes.

Transkrypcja

Richie Cotton: Hi Wes, thank you for joining me on the show.

Wes Kao: Hey Richie, excited to be here.

Richie Cotton: Excellent. So I actually want to start with something that's been bugging me. So, there's this common thing where it's supposed to take 10, 000 hours to become an expert, but I've been working for several decades now, well more than the 10, 000 hours, but I don't feel like an expert at my career. So why is it so hard to get career skills? 

Wes Kao: That's a banger to start with. I think it's actually because career skills are a combination of a bunch of separate skills. It's not just one skill. Being good at your career involves being great at execution, thinking about strategy being a good communicator, Project management, dealing with conflict negotiating there's so many small negotiations that happen on a, daily or weekly basis at work, and so managing up, managing down, managing expectations, pushing back being able to advocate for your ideas in a way that's effective and productive so there's so much nuance that goes into every one of those things which is why I think it's a, it's a lifelong endeavor.

to get good at work, essentially.

Richie Cotton: Okay, yeah that makes me feel better. It's like so many different possible skills that you could learn. So many different contexts. So, there's a lot to talk about. So, we're probably going to get through them all now. Otherwise, it's going to be a 24 hour podcast, but maybe we'll start with something I thin

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