It's no secret that data analysts and data scientists are some of the highest paid and most sought after professionals in technology and IT. Linda Burtch, managing director of Burtch Works, an executive recruitment firm specializing in data analytics and data science pros, has told InformationWeek that the demand for these particular professionals is the highest she's ever seen in her 30 years in the business.
Her most recent salary survey of data scientists, released in April 2016, places the base salaries of individual contributors in the range of $97,000 to $152,000, not including bonuses.
For IT pros that are looking to make a career change, shifting to the data analysis realm and even aspiring to the data scientist specialty could provide new opportunities and a bigger paycheck. It could also provide broader choices for career options.
[Struggling with the influx of IoT data? Read 11 Ways IT Professionals Can Make Sense of IoT Data.]
Chances are that if you are working in IT and have some experience, you already in command of skills that give you a head start for this additional set of opportunities. Maybe you are already working in an area such as databases and data management. Or maybe you have been dabbling in development and are looking to incorporate analytics into your skill set.
Businesses and organizations are also shifting. Where there were taxi companies, now there are technology companies like Uber. Where there were entertainment companies, now there are technology companies like Netflix.
Every company is becoming a technology company, regardless of its vertical business specialty. Data scientists and data managers and data analysts are poised to lead the way for this new generation of organizations that capitalize on data and turn it into greater value.
If you want to be part of that effort, there are a few steps you may need to take before you can begin the big journey. Through interviews with IT pros, executive recruiters, technology analysts, and others who follow the industry, we've compiled this list of tips to help you apply your IT experience to the world of data opportunities.