GIS Analyst To GIS Data Scientist — 8 Things You Should Know.

ESRI (Environmental Service Research Institute) recently announced that they will no longer be releasing the latest version of ArcMap and that it will not be supported after March 1, 2026. They are encouraging users to transition to their latest product, ArcGIS-Pro, which is best suited for a data science machine, learning, deep learning and analytics.

It does not come as a surprise, as for the last five years, the geospatial industry has really grown and slowly incorporated aspects of data science, deep learning, and artificial intelligence.

This means that in the next 5 years, a GIS analyst will be a data engineer. In other words, disruption is here!

Many jobs are becoming disrupted by the data revolution. You have probably heard in the news about company X letting go of a whole department as they are outsourcing it to save on cost and efficiency. Most of the time, they assign the tasks to a start-up.

This is going to be a common occurrence in the near future.

If you have ever looked at a job advertisement regarding any geospatial position, one must know or be familiar with R programming, Power BI, SQL, Java, AWS, or Python. Some even require you to understand different types of machine learning algorithms such as random forest…