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How Nubank Uses Data and Analytics to Measure the Effectiveness of Hiring Strategies

HackerRank

Companies count on data-driven insights from recruitment analytics to navigate the ever-changing talent landscape. To really make a difference, those leading talent analytics need to assess how well their efforts are working, find ways to improve, show their value, and reinforce the need for ongoing investment.

Data 62
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Your Guide to Programmatic Advertising: Everything You’ve Wanted to Know

PandoLogic

Talent Analytics The process of collecting, analyzing, and interpreting data related to talent acquisition for decision-making purposes. Or even better, interviewing and hearing back from the employer – even if you haven’t been selected for the position.

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Why we made hiring free

Vervoe

Video interviewing? Talent analytics? So now you can test engineers for the ability to write code, as well as soft skills, and you can do it all as part of one Talent Trial. Wait, what? That’s right, we created a free tier so now anyone can use Vervoe for free. Skill testing? But wait, there’s more.

Hiring 59
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Generalist vs Specialist: Which Kind of Recruiter Should You Hire for Your Team?

Linkedin Talent Blog

It’s a phrase developers often use to explain their frustration with talent professionals who don’t know as much and, as a result, make some embarrassing missteps in their outreach and interviews — like mixing up the similar-sounding programming languages. It’s unfortunate that mistakes like this happen.

Hiring 48
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How an Autodesk Recruiter Used Data to Reset Her Hiring Manager’s Expectations – and Make a Quick Hire

Linkedin Talent Blog

But earlier this year, when a long-time Autodesk hiring manager said he needed a senior software engineering manager with web development experience, a top-tier education — and 11 other must-haves — Jennifer said, Whoa buddy! In two weeks, Autodesk made an offer to a veteran software engineering manager.

Data 44
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Generalist vs Specialist: Which Kind of Recruiter Should You Hire for Your Team?

Linkedin Talent Blog

It’s a phrase developers often use to explain their frustration with talent professionals who don’t know as much and, as a result, make some embarrassing missteps in their outreach and interviews — like mixing up the similar-sounding programming languages. It’s unfortunate that mistakes like this happen.

Hiring 37
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This Simple Use of Data Helped LinkedIn’s Recruiters Achieve an 85% InMail Response Rate

Linkedin Talent Blog

Just ask the LinkedIn recruiting team -- when they were facing the tough challenge of bringing in critical engineering talent quickly, they decided to “hack” this by using a data-driven approach. Do they share content that signals they’ll be a good systems infrastructure engineer for your team?

Data 48