According to the 2020 Future of 유흥알바 Jobs report from the World Economic Forum, three of the highest-demand jobs in various industries across the U.S.–data analysts and scientists, artificial intelligence and machine learning experts, and big data specialists–all fall under the data science and analytics umbrella. As data science advances, demand for data scientists grows, and companies are creating new jobs daily to fill the massive industry needs. According to multiple studies, data science-related jobs are highly sought after and are expected to grow 31% over the coming years.
According to IBM, there is a steady growth of the jobs of data professionals in America over the coming years. Opportunities will come knocking, both as the amount of jobs related to big data continues to increase in number, but also because organizations will require specifically trained professionals while mastering big data, since it is just at an early stage. A study from the McKinsey Global Institute estimates the U.S. will have a shortage of approximately 190,000 data scientists and 1.5 million managers and analysts capable of understanding and making decisions using Big Data by 2018.
The digital skills shortage impacting the technology sector means demand for skilled cloud and Big Data professionals is higher than ever, and companies are fiercely competing to hire the best talent. Companies are now advertising a diverse array of jobs, like data engineers, data architects, business analysts, executives who report on MIS, statisticians, machine learning engineers, and big data engineers.
Data engineer jobs are typically in tech companies, as well as in IT departments in businesses and other organizations. Big data engineers are also typically in charge of building and maintaining a companys software and hardware architecture, including systems and processes users need to operate on top of this data. Big data engineers are like data analysts, as they transform vast amounts of data into insights organizations can use to make more intelligent business decisions, but they are also charged with retrieving, interpreting, analyzing, and reporting the businesss data – data that they usually have to collect from many different sources.
Data analysts develop methods for analyzing big data sets, turning it into insights that businesses can use to make better decisions. The job is to take a lot of data and convert it to insights a company or organisation can make helpful actions. Data analysts are not simply hunting for big business questions that need to be asked, but also cleaning data, researching, and creating reports using data visualization tools such as Tableau and Excel that can help teams devise strategies.
Alongside predictive analytics, data scientists and data analysts also rely on coding to sift through vast amounts of unstructured data in order to extract insights and aid in developing future strategies. Analysts deal mostly with structured, unstructured, and semi-structured data, and in order to work with structured data, analysts interface with tools such as Hive, Pig, NoSQL databases, and frameworks such as Hadoop, Spark, and others. Their primary duty is to extract the hidden potential insights of data to help companies boost revenue through smart decisions. Business analytics analysts are also expected to turn their data analytics into actionable strategies for improving business — and to communicate their strategic insights with management.
Business analytics analysts must possess strong knowledge of analytics and reporting tools, years of experience with database queries and stored procedure coding, as well as skills with online analytical processing (OLAP) and data CUBE technologies. In addition to an undergraduate business degree in your chosen field, such as health care or finance, prospective business analysts need to know data visualization tools like Tableau, as well as a prerequisite IT knowledge including database administration and programming. As solution architects, someone needs to possess strong problem-solving skills, as well as an extensive knowledge of frameworks and tools, their licensing costs, and alternative open-source tools that are available for processing large amounts of data.
A BI analyst should possess an advanced knowledge of database tools, data visualization techniques, and data programming languages in order to excel in this role. Most jobs for data analysts require programming and SQL skills, along with statistical knowledge, familiarity with data analytics workflows, and data visualization skills. Data analysts also require strong communications and presentation skills, the ability to effectively communicate frequently complex information to business stakeholders.
If you are interested in this kind of Big Data role, you will need strong analytical skills, along with a background in statistics and algorithms, in order to be able to extract the appropriate insights from data sets.
Data science training is applicable for a number of job titles, including statistician, computer systems analyst, software developer, database administrator, and computer network analyst, data scientist, data analyst, data engineer, and data manager. The need for big data professionals is practically across all sectors, be it, financial, manufacturing, retail, etc. Apart from this, there are different job roles falling within the big data scope, such as big data engineer, big data architect, etc. So, if you are thinking of making a career in big data, then it is definitely something that you could pursue. The salaries of the big data professionals are directly proportional to factors such as earned skills, education, domain expertise, knowledge about the technologies, and so on Based on the particular location, with the help of your skills and educational levels, big data jobs are highly profitable.
One cannot deny that an individuals salary is directly dependent on factors like degree (bachelors/masters), experience in the domain, command of technology, and so on. Also, it is not that easy to get a good big data job if he does not have good understanding and knowledge about tools and technologies in order to understand and tackle real-world Big Data challenges. There is an overwhelming demand for people who are qualified and who are capable of understanding data, thinking in terms of the business, and coming out with insights. In 2021 alone, Glassdoor shows nearly 37,000 data science jobs available, including Machine Learning Engineers, Data Analysts, Business Analysts, and Financial Analysts jobs up for grabs.