It’s both. The proliferation of data requires tools that can handle the volume, variety, and velocity of big data. However, the role of the GIS Analyst is also evolving into a “geospatial data scientist” who can support broader enterprise analytics requirements in addition to the traditional analysis and “mapmaking.” Younger “digital natives” are accustomed to using a variety of tools to get jobs done and use scripting languages such as Python to automate work flows and access data from online sources. As the use of GIS increases on the “front lines” or organizations with non-technical users, web mapping systems supported by GIS Analysts will expand the skills required as well as the tools to deploy these systems. The good news is that more people in the organization will become “self serve” and GIS Analysts will have more time to focus on specialized or advanced projects that make them happy, versus making simple maps for others.