New types of data, tools, and technologies are shaping the jobs of analysts, taking them in exciting new
directions. In fact, things are moving so fast in the data analytics space, that some analysts are beginning
to worry about what this could mean for the future of their jobs.
Smart machine learning algorithms can now analyze and interpret data with an ever- growing speed and
accuracy, and even produce content for dashboards and printable reports. So as another year comes to
an end, you may be wondering, will my job as an analyst still be in demand in 2020 and beyond?
Our answer is YES: as with any other job out there, the role of data and business analysts might evolve in
order to keep up with the most recent innovations, but rest assured, it is here to stay. In fact, the
continuous developments in AI, machine learning, and automation, when implemented the right way,
are less of a threat than an opportunity for data analysts.
Data Analysis Skills Will Continue To Be In High Demand
Data-related skills are, and will continue to be, in high demand. Forecasts seem to suggest that the most
important role data technologists will play in the near future is that of a data analyst. The reason behind
this growing trend is the increasing automation of many data-related tasks, and the growing importance
of data analysis by humans.
In the new decade, business analytics will be less about hoarding data and more about acting
intelligently on data-driven insights, a task for which no one is better suited than analysts.
AutoML Will Have Even Broader Applications
At a very high level, AutoML is about using machine learning techniques to, well, automatically do
machine learning. Its development, however, has spurred the application of automation to the whole
data-to-insights pipeline, from cleaning the data to operationalization. At this larger scale, it’s no longer
AutoML, but augmented analytics. Today, automated analytics can add efficiency to large swaths of the
data pipeline, with the potential to impact the entire process and influence the structure of data teams
Data Science And Business Intelligence Converge
Organizations have traditionally employed separate teams for standard business intelligence and data
science, but this is all about to change soon. The two areas are increasingly converging as the
applications of the different technologies are growing together.
In 2019, we’re likely to see more cutting-edge organizations bring their data science and business
intelligence practices together, providing them with real-time centralized access to various sources of