By Jennifer Marley

Every day the world generates more than 2.5 quintillion bytes of data. Many companies do not know what to do with this influx of data, and therefore hire people with specialized skills to collect, store, process, analyze, and develop business intelligence and actionable solutions based on this information. These people are known as data scientists, and the demand for the job title is extremely high. According to research by LinkedIn, data science and machine learning jobs are the hottest and most in-demand career paths in the world. Six out of the top 15 emerging jobs are related to data science skills and an estimated 2.7 million job postings for data analytics and data science are projected by 2020. The world is shifting, and businesses are no longer looking simply for business intelligence analysts, but rather modelers, mathematicians, engineers and scientists who can turn data into actionable information. Data scientists hold some of the most sought-after positions in the world, and if you want to boost your business intelligence or graduate career, it’s important that you boost your resume with big data.

Benefits Of A Career In Big Data

Big data has been a hot buzz word in business for the past couple of years. Big data jobs are very lucrative and pay more than a typical business intelligence job. With a career in data science, a new graduate can expect to make about $20,000 more than a typical business intelligence analyst and generally earn about $95,000 to $165,000 a year. The starting salary is extremely high for graduates and can definitely help you deal with past financial commitments, start a new life, and even start a family. These jobs tend to be at the top tier of business, making it easier to be promoted to the highest levels of your organization. Not only will you make more money and move faster up the ladder, but you’ll also be at the forefront of cutting-edge technology. A career in data science exposes you to the latest in technology and allows you to constantly boost your resume. Furthermore, data science expands past the realm of business. If you leave the world of business, your skills will transfer to a great many other jobs: from law enforcement to the medical field, every career uses data and needs a way to understand and analyze it.

New Developments In Data Science That Will Boost Your Resume

Since data science is still a fairly new field, the skills and needs associated with the role are ever-changing. The data evolution is rapidly evolving, and you need to ensure you’re up-to-date with the most in-demand skills. In 2019, the focus of data science is expected to home in on bringing the digital world into the physical world. Self-service business intelligence dashboards are all the rage, and therefore you’ll need to learn tools such as Tableau, Qlik Sense, Power BI, and Domo. Companies simply want to cut out the business analyst and have data scientists provide them with a real-time dashboard that can deliver information about sales and tell a story about the company’s progress instantaneously. Furthermore, mobile dashboards are expected to be in greater demand over the next year, which will require data scientists to focus on mobile app and development experience. Lastly, the R programming language will also make a huge impact in 2019. R scripts can be audited, and are easily rerun by business managers, creating replicable and valuable analysis. The R language is also strong in supporting machine learning, which is expected to reign supreme in the world of data science and business analytics in the coming year and beyond.

Skills That You No Longer Need To Focus On

Once upon a time, Hadoop was the hottest tool for a data scientist. It was the ultimate answer to storing and processing big data. However, based on cost and complexity, a lot of businesses are shying away from the once popular tool. Now, Hadoop is serving as a storage repository for processing ETL batch workloads rather than for interactive, user-facing applications. Instead, data scientists are focusing on Hadoop alternatives such as Apache Spark, Apache Storm, Google BigQuery, Hydra, Ceph, and DataTorrent RTS. Although Hadoop isn’t expected to completely disappear, you should focus your time and energy on learning these new alternatives as Hadoop will likely become consigned to a niche and legacy system in the future.

A career in data science will set you apart from the rest in the field of business intelligence . With so many new graduates attempting to enter the business world, you will need a leg up, and big data is the way to go. As companies get further into the digital world and harness more and more data, you’ll become an essential member of any team and a highly sought-out individual. In general, a career in data science is the number one ingredient in a recipe of success in business intelligence.