“In God we trust, all others must bring data,” the statistician William Deming once said.
There’s a lot that is appealing to me about Deming’s assertion that there is truth in numbers. As the owner of an analytics consulting firm that specializes in helping companies make better business decisions based on data, I’ve always found the truth in numbers to be strangely comforting. It is one of the reasons I gravitated to the field of digital analytics.
In our last blog post, Alisa Gross and Evan Fink examined the health of the data science job market. The data shows a significant opportunity, both for the data scientists looking for jobs and the companies that want to hire them. Just about everyone needs a data expert.
If you’re hiring someone to analyze data, finding them is not the hard part. Finding the right person is, since all data analysts are not created equal. Continue reading >
Around 2008, D.J. Patil and Jeff Hammerbacker, who led the analytics teams at LinkedIn and Facebook respectively, coined the term data scientist to describe the people who manage big data and have the talent to pull insights from it. A few short years later, the Harvard Business Review christened the role as the sexiest job of the 21st century. The opportunity for data scientists continues to skyrocket across organizations of every shape and size – from scrappy startups to established enterprises.
“I want to be a Digital Analyst when I grow up,” said no one in the 70’s or 80’s in grade school. And I’m pretty sure that is unlikely to be said today, although it’s been one of the hottest growing careers lately. It doesn’t have the glamour and status of a doctor or lawyer to a kid, but with the right combination of experience and skills, it can pay nearly as much. Advanced degrees are certainly a plus, but not at all required. Continue reading >