Send us a text

Summary:

Tim Freestone starting out initially as a financial analyst in a large smash repairs, believe it or not, but has since spent his career in analytics. He left the world of forecasting balance sheets & income statements to progress into commercial analytics and then eventually into data analytics, where he lead an analytics team in a travel tech company. Through his career Tim has gotten great firsthand experience in being both a candidate and a hiring manager in analytics. It’s this direct exposure to the myriad of issues in analytics hiring that led Tim to found Alooba, a skills assessment platform for data literacy, analytics, and data science.

Alooba’s vision is to create a world where everyone can get the job they deserve. This is a world (we can all agree) far from the one we live in right now.

Today we discuss finding skilled and qualified data analytics resources. Just posting a job, reviewing resumes and interviewing is not enough. How can we ensure the data analytics resources you hire have the skills you need?

Chapters:

[0:00 - 4:13] Introduction

Welcome, Tim!
Today’s Topic: Fixing the broken aspects of hiring analytics

[4:14 - 11:15] Resumes and CV’s

Why hasn’t the resume changed in over 500 years?
Removing all the noise in a CV and collecting better data on candidates

[11:16 - 17:52] Interviews

The benefits of giving interview structure
How to develop good questions for interviews

[17:53 - 26:34] Sourcing

Look at role requirements; each requirement filters the candidate pool down further
Sometimes sourcing does not need to be external

[26:35 - 29:52] Final Thoughts & Closing

It’s all about selecting the best data at each step
Thanks for listening!

Quotes:

“We need to get to a point where we have a much more fair, objective way of making [hiring] decisions. I think in general, that's one of the big issues with hiring is even though it's such an important decision, people rely so much on their gut and intuition and heuristics, whereas really we need to make it a much more rational, objective decision.”

“It's all about collecting the best data at each step—if that's the application step, the interview step, the testing step—and making the decisions based on that data. A rational objective decision, rather than the pure gut-feel intuition approach.”

Contact:

LinkedIn

Production by Affogato Media

Tim Freestone - Finding Data Analytics Talent 29:52 Share

HR Data Labs podcast

Shownotes Transcript

Tim Freestone - Finding Data Analytics Talent