Career opportunities in the field of data analytics or data science or other similar profiles are experiencing growth like never before. It’s a great time to be alive and witness this extraordinary phenomenon where the industry is evolving so fast and the future is unclear but definitely promising. This experience provides an excellent platform for young professionals to tap into and build careers in this exciting new field. Listed below are some of the reasons data scientists/analysts are great candidates for young professionals graduating in the next few years.

1. Interesting work – Data analysis is definitely not as challenging and fun as software development, but it does have its own set of challenges that make it a very interesting job. On the one hand, it aims to answer questions related to market trends and behaviors. More advanced projects would involve learning mathematical techniques used for statistics. Apart from being interesting, one can be a part of any industry as the skill set is transferable in most cases.

two. good country – Any professional in this field would attest that this country is shaping up well. And since there is so much demand, this trend is not going to abate anytime soon. Most young graduates, with technical education and some relevant industry experience (internships) can be hired as Data Analysts or Business Analysts and these jobs should pay around USD 60-70K. Of course, this number grows very handsomely as one gains more experience and grows in terms of designation. A middle management position would pay from USD 90-95K.

3. Growth opportunities – According to recent studies, the world is only getting more curious, not less. This implies that large companies are investing more and more to explore market trends more accurately. This has and will continue to result in the development of new tools, experimental methodologies and business processes across industries. For young professionals, this means ample opportunities to explore career options based on their preferred industries.

As lucrative and interesting as the data analytics industry sounds, it can be very temperamental in its response to the market environment. Every tool in the industry is constantly evolving and comes with newer and better solutions. This leads to a very short and limited lifespan of existing technologies. However, to be cautious, young professionals should seek to develop a skill set, which is conceptually complete so that the skills are transferable. Generally speaking, there are 3 areas to emphasize. These are data cleansing, data transformation, and data visualization. The industry standard tools for these are “Monarch”, “Audit Command Language”, and “Spotfire”, respectively. There are many options for these tools, however these are a good starting point.