There’s no denying that data is the new gold. With the rise of technology, collecting useful data has become possible. But what is the best way to collect this data? How do organizations interpret it? This is where a data analyst comes in. A data analyst not only collects the data but also analyzes it using advanced statistical tools.
Due to the pandemic, most companies have launched online businesses and the demand for data analysis has exploded. Data analysts help organizations understand how raw data can be used to find solutions to some of the most difficult questions.
If you are looking for a career in the field of data professionals, now is the time. A study by IBM and Burning Glass Insights showed that in 2020 alone, there were 2.7 million job postings for data professionals.
This means that a career in the data profession has developed and only keeps growing.
Let’s look at the Indian labor market. According to a study from AIMResearch, nearly 93,500 new job openings were available at the end of August 2020.
This sharp increase in job postings is a testament to the important role a data analyst plays in any organization. Needless to say, the role of a data analyst cuts across all divisions of an organization. For example, in marketing, a data analyst can help brands reach new audiences. Likewise, in the case of the manufacturing department, a data analyst will be able to discover the reason for delays or leaks, so the right management decisions must be made.
Responsibilities of a data analyst
Now you know the crucial role that a data analyst plays in any organization, which makes it a dream job for many. Next, you need to know all the responsibilities and challenges that may come your way.
One of the primary responsibilities of a data analyst is to maintain timely reports. These reports essentially provide senior management with the main business information on which they can make the necessary decisions. Now, these reports must weave a story, they must be clear, and they must answer any questions the decision-making team may have.
Although it may appear to be an independent ministry, it is not. It is important for a data analyst to collaborate with teams. Good collaboration guarantees good data collection, we can collaborate with campaign managers, salespeople, operations managers, etc. Another level of collaboration occurs within teams of data professionals, to keep things running smoothly.
3. Process settings
The tasks of a data analyst are vast. It begins with data collection and ends with conclusions. You have to be able to put in place transparent processes to understand this complex world of data. The complexity is not just limited to the immensity of the data collection, but also lies in the fact that there are multiple teams with multiple requirements.
Learn for yourself
If you are starting your career as a data analyst, you need to gain knowledge. This work requires analytical skills and the use of some advanced tools. If you’ve decided to learn on your own, start by making a list of the tools you need to learn. Now understand that there is no one essential tool for every data analyst. Some useful tools include – Microsoft Excel, SQL, SAS software, Google Analytics. Read on to read how to use them first, then test them out with a hypothetical set of data.
Another way to learn on your own is to read books written on the subject. Some of the best in the business are; Data Analytics Made Accessible by Dr Anil Maheshwari, Python for Everyone: Exploring Data in Python 3 by Dr Charles Russell Severance.
Once you’ve acquired the skills and knowledge required, embark on small projects to build your portfolio and test what you’ve learned. This will help bring you closer to what the actual job of a data analyst would look like.
Specialized online course
Another great way to get all the knowledge is to take a specialized online course. There are many crash courses that are perfectly designed for some that start from scratch and move quickly to Data Career. Here is a list of the benefits of taking an online course:
- A well documented and carefully planned program. This saves you a lot of time that otherwise would have been spent finding the best reading material, finding the right books, or planning your study days.
- Acclaimed faculty. While in the case of self-study, you might need to read a variety of different books so that you can learn from different people. Coding Invaders does this job for you, as the course is taught by trainers working at pioneering organizations like Google, Microsoft, and Facebook.
- Real life tasks. This is something that sets Coding Invaders apart is the simulation training provided during the course. These simulations are based on real case studies that give you the upper hand in your job search.
- Do you know the percentage of student interns? If the educational platform hides these numbers, run away from it.
- Finally, you not only get amazing trainers, but you are also part of a close group of other students. Here you can collaborate and learn from each other. This is not possible when you learn on your own,
- Ask someone who has passed the course and gets an internship. Ask them questions about your fears? Tell her your story and ask her if the class is right for you.
A career in data analytics can be very beneficial. Especially in an age when data plays the most important role in every business decision. Taking this leap can be scary, but the fruits of your labor will indeed be sweet. So take the plunge and we’ll be here to help.
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