so i am planning to be a data analyst after my graduation from computer engineering from the university. i am curios on what i need to do to fulfil this career dream, do i need more studies after my graduation or what path should i embark on after my studies? #engineering #graduate-school #academic-advising #academic-advisor
I would recommend joining an entry level data analyst role in a large company (technology, banking, e-commerce..) after your graduation. It will be a great opportunity to apply what you've learned (especially programming), while simultaneously giving you the chance to understand how an enterprise works. A few years of experience here would give you a great perspective before you proceed with a higher degree, whether you want to focus on an MS, or an MBA.
Data analyst is an excellent choice! Do not be discouraged however if you cannot immediately get a permanent full time position. My company and many others hire entry level data analysts through contract work from a separate firm so take a look at what temporary contract agencies there are in the area where you want to work. The agencies should be able to tell you which applications and tools are used by their employing companies. Learn about these applications and become proficient in their use. Your skill in them and understanding of charts, graphs, and other visual aspects of data will help you stand out during your job search. I have hired many data analysts specifically because of this stand out. Once you have worked for a year as a contract employee, you will likely have good opportunities to move into a permanent role at the company. Data analysis is a crucial core element of business and I applaud you in your career choice !
Andrew recommends the following next steps:
To add to some of the answers already provided, more studies will always be a good choice in this field. To be clear, those studies can be in the form of a formal classroom setting..but they can also be on-the-job. Many employees, who seek to improve their skill sets, have worked as data analysts using tools or systems that become outdated. Many of those same employees are able to pivot to new tools and systems through studying how these new things work, practicing using them and then applying their use to business problems. The icing on the cake is being able to solve business problems using newly learned tools and/or systems.
So in terms of what needs to be done, continue to keep an open mind on where and how new skill sets can be learned and continue to be engaged and excited about learning and applying new tactics. Build on what you learn...and then go learn some more!
Best of luck to you!
Familiarizing yourself with popular data analysis tools can be really useful. Learn a programming language that is great at data munging such as Python.
Education wise, deeper studies in statistics, math, computer science is often great. Taking specific classes targeted at data science, analytics etc can also be very fruitful.