Did you know most of the data scientists we see today were once data analysts? So, you have the knack for numbers and love decoding data to narrate a story, perhaps choosing the data analyst job may be the preferred career choice of the year. After all, a data analyst job is still one of the hottest jobs in the technology domain, and they pay you well. Based on a Forbes report, by the end of 2020, the data science and data analytics jobs will rise from 364,000 job listings to 2,720,000.” Not to mention, noticing the dearth of data science talent across the globe these positions are still challenging to fill.
The same report by Forbes goes on to say that these jobs generally take 45 days to fill, which is five days longer than the market average. With data being generated at breakneck speed, organizations have started increasingly relying on data for their business decisions, investments to make, new markets to enter, new products for development, or make new customers.
But who are these data analysts?
In organizations both large and small, a data analyst helps present these data in a manner that is understandable and that provides value to the organization. However, their job includes more than just narrating the number and story-telling, it is more than that. More importantly, the individual needs to know how to use data. It is quite likely you’ll be hired first as a data analyst, once you’re in the firm your hiring manager will start prepping up your skills. As a fresh candidate, it is important that you receive prior training before you can actually handle data. As you move further ahead, you might also have the opportunity of being employed as a senior data analyst in the same firm.
Data of the company is sensitive and no managers would like someone having the lack of skills or practical training handle such sensitive data. These job roles are still in demand and will continue to do so in the future, however, the individual should possess hands-on training. According to IBM, it is estimated that there will be jobs of over 2.7 million for data professionals, mainly as data analysts and data scientists by the end of 2020. An entry-level candidate is likely to receive a salary package of USD 60,000 per annum. Also, as your work experience and skills improve, it is likely for you to be eligible to earn a salary package of USD 135,000 per annum.
Core job responsibilities of a data analyst:
Well, the key responsibilities of the individual will vary from organization to organization and to the extent of how businesses have adopted data-driven practices. However, let us further talk about the roles and responsibilities of a data analyst.
- Mine data from primary to secondary sources and further organize it in a manner that can be easily understandable by stakeholders and business partners.
- The key responsibility of designing and maintaining databases and data systems such as fixing a code error or data-related problems. If lucky they may get the opportunity to work with a senior data analyst on a particular project.
- Use of statistical tools that will help interpret data sets ensuring that the particular trends should be valuable to the business.
- Solely responsible for creating reports for organizations that will help them understand the patterns and trends with the help of the right data.
- Developing certain documentation process that will help the stakeholders understand the process of data analysis.
- They’re also responsible for collaborating with the engineers and programmers to improve their processes or to develop policies that will help in data governance.
But hey, we haven’t spoken about the skills yet?
Well, for a start, as aspiring data analyst needs to have knowledge of databases such as SQL, programming languages like R and Python, data visualization tools like Qlik and Tableau, mathematics, statistics along with spreadsheet tools such as Google Sheets or Microsoft Excel Sheet. Once you ace a career as a data analyst, you can always make a switch and become a data scientist. After having extensive experience as a data scientist, you can hop onto a much senior profession such as senior data scientist.
If you’re looking to pursue a career in the data realm, you need to know that there are four types of data analytics. These include diagnostic analytics, prescriptive analytics, descriptive analytics, and predictive analytics. So, this question is for you, are you ready to grab a career as a data analyst?