Here’s a quick thought for you. In the field of data analytics, we are dealing with a ton of numbers. These numbers need to be scrutinized, subjected to new calculations, and translated into a more easily digestible format (our visualizations). Given this, a lot of people assume that it is important to have a math or STEM-related background if they are going to enter this space. While they are not wrong, this background is not necessary to find success in this field. STEM degrees may help with the numbers, but as data analytics consultants, our jobs include much more than creating formulas!
Once we have visualized our data rarely does the job ends there. Instead, we need to share and describe this data to stakeholders, sometimes many of them. This final step should not be downplayed; if we can’t effectively communicate our insights to shareholders then we aren’t making data-driven decisions. We need to develop some important skills, not including the well-known technical ones. This includes communication, critical thinking, writing, presenting, and collaboration. By equally focusing on your technical and soft skills you are making yourself a stronger and more effective data analyst.
This idea is something The Data School has embodied through its curriculum. We spend a lot of time (and I mean a lot) refining our Tableau and Alteryx skills, constantly improving our technical abilities. That said, we spend just as much time presenting on our Tableau dashboards as we do creating them. We are working in teams daily, struggling to find common ground and convey a shared vision. These are incredibly valuable skills to refine together, and will only serve us when we are consulting within our placements.
With a degree in political science, I was nervous about my lack of technical abilities as I entered this industry space. I quickly realized that my critical thinking skills and my ability to convey my ideas to people orally and in writing will be invaluable when I start consulting. Everyone has a different skill set when they come to The Data School. Recognize your strengths, and never be afraid to apply just because your background isn’t similar to an average data analyst. Good luck and never be afraid to reach out for help/advice!
