Careers in 2018: Tips from a Top Analytics Recruiter

2 min read

Top quantitative executive recruiter Linda Burtch of Burtchworks provides insight into how to keep yourself competitive in data science, business intelligence, and other analytics-related careers. Here’s how to get ready for a future of new technology, including AI, natural language processing, and IoT.

Demand for data scientists and other data and analytics professionals continues to grow in the job marketplace as enterprise organizations look to build out their business infrastructures for a new era. But even data scientists need to stay on top of new trends and technologies to stay relevant.

That’s according to top data science and analytics recruiter Linda Burtch, founder of Burtchworks Executive Recruiting, which also publishes regular salary research reports for data and analytics professionals. Burtch outlined some key points for career-minded data pros and aspiring data pros in a recent interview with UBM Tech. [You can find the full audio interview podcast here.]

Is your analytics career ready for the future?

For seasoned data professionals Burtch offers this advice: “Keep learning. Technology, as we all know, is changing very quickly, and it’s really dangerous for you to ignore that as a mid-level or senior-level person.”

Burtch recommends data pros attend classes on new techniques, sign up for MOOCs (massive online open courses), go to conferences, go to meetups, get involved with local American Statistical Association or other quantitative professional organizations.

A Master’s degree is nearly a requirement for many positions now, she said. But for those who already hold an advanced degree, it’s still important to keep learning through free online courses or other options such as boot camps. Look at your skills gap to figure out which one to attend, Burtch said.

Not all boot camps are alike, however. Before you sign up, you should ask the school where their graduates have gone. Find out who their industry contacts are for helping to place graduates. You may even want to check the boot camp’s references. Find out how many of their graduates got jobs and where they are working.

Make sure the boot camp gives you practice working with data, data sets, and messy data, using a variety of tools.

While boot camps may help you fill a skills gap, they may not be enough by themselves to get you into the top technology companies. Companies like Amazon will still be looking for candidates with advanced degrees.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.