It is that time of the year again. A new year means a new job or shifting careers for a lot of professionals. If you’re looking for a change too, then read on and decide which certification or training can elevate your professional journey.
The technology industry has rapidly grown in the last five years. And with the career landscape evolving, there are certain occupations more in demand than others. In fact, the careers that will be in high demand in 2020 might not have even been heard in the year 2010. Here is a list of the top careers which have made it to the list.
Artificial Intelligence Architect
With a handsome salary in hand, a lot rides on the shoulders of an Artificial Intelligence (AI) architect. Understanding client needs and translating them into the best possible business solution is their primary job.
From planning to implementation and choosing the right technologies, an AI architect communicates between the organization and the client. This requires them to have an in-depth knowledge of AI infrastructure and applications. A certified Artificial Intelligence expert might be the best bet for this role because it requires specific judgment calls; only someone with ample expertise can make.
This requires a lot of niche experience in the field as well as a master’s degree in a relevant discipline — moreover, proven record of implementing machine-learning solutions, analytical and communication skills, etc. You can sign up for Certified Artificial Intelligence Developer by Global Tech Council for improving your resume.
Business Intelligence Analyst
Business Intelligence (BI) Analysts are responsible for transforming data into insights that drive business value. They possess an in-depth knowledge of data analytics, data visualization, data modelling techniques, and technologies.
BI analysts spot trends in the collected data, which helps other departments, managers, and executives to make better business decisions as well as modernize the processes within the organization.
Steadily, in every organization, the role of a BI analyst is becoming a crucial one. Every industry is moving towards capitalizing on the volumes of data that they collect. BI analysts can quickly identify the areas of revenue loss as well as the areas where effective improvements can be made to increase the profits for the organization or even save money.
Business intelligence analysts come with ample experience in the field by mining complex data and comparing it to the industry competition. Communication skills are equally important for a BI analyst as they deliver their findings through visualizations to the others in the organization.
A cloud architect is responsible for all the components and subcomponents of cloud computing. They convert the technical requirements of any project into architecture and design that determines the outlook of the final product. Additionally, they also provide cloud solutions to the complex business problems that are faced by an organization.
If you are thinking of taking up cloud architecture as a profession, you should have ample knowledge in cloud computing or a similar technical area. In-depth knowledge of at least one operating system, i.e., Linux, Unix, Ubuntu, Windows, etc. and computer programming is essential. Moreover, a good grasp of TCP/IP, IP addresses, HTTP, DNS is necessary for a cloud architect.
Whether it’s Microsoft Azure or Google Cloud Solutions, the possibilities are endless for a cloud architect. And if you’re making that shift, now is a great time.
Data analysts work at the cusp of data and technology. The primary objective of a data analyst is to retrieve, gather, and organize data for meaningful conclusions. Their work varies depending on the type of data they’re working with, like sales, social media, or inventory and also on the kind of client.
All industries benefit from the work that’s put in by data analysts, including healthcare providers, to food chains and retail stores. The findings provided by a data analyst can prove to be beneficial in improving the customer or user experience.
The four primary areas of analytics are descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics points towards what happened. The diagnostic focuses on why that happened. Predictive answers what is likely to happen. Prescriptive refers to the action that should be taken in that situation.
Some of the tools that are used by data analysts are include SQL, SAS software, Google Analytics, Google Tag Manager, Microsoft Excel, Tableau, Google Adwords, etc.
Data scientists are proof of transforming businesses. The fact that all organizations hire data scientists to make the mass of unstructured information into productive strategies shows that data has found it’s actual value now.
A data scientist is part mathematician, part computer scientist, and part trend-spotter. Their responsibilities include, but are not limited to, collecting unruly data and then analyzing this data to solve business-related problems. They work with a variety of programming languages like SAS, R, and Python.
To stay on top of the game, analytical techniques such as machine learning, deep learning, and text analytics should be well aware of. Certification in data science will be very helpful in providing better opportunities.
Since data scientists communicate and collaborate with both IT and businesses, the pay offered is quite good.
Data engineers are known to be specialists from the field of software engineering and experience in backend development. It is their responsibility to manage data workflows, pipelines, and extract, transform, load (ETL) processes.
In order to get a great job, IT giants expect data engineers to have knowledge of Python, Java, Scala, Hadoop, Spark, Kafka, algorithms, data structures, distributed systems, Tableau, or ElasticSearch, etc. You can even become a Big Data Expert by signing up for it on the Global Tech Council.
Providing a reliable infrastructure for data, data engineers work in three steps i.e., Collect, Move & Store, Data Preparation. For any data-driven organization, a data engineer is vital. The data engineer is a crucial link between a data scientist creating Python files and the final developed outcome.
So these are a few careers that are in very high demand and will continue to be this way because, as a society, we can no longer function without data or technology. It’s equivalent to gold for those who know it’s value. And if you are someone who is looking to begin your career or looking for a career change, it’s the best time to take that leap of faith. Global Tech Council offers some excellent training and certifications on Artificial Intelligence, Data Science, Big Data, Machine Learning, etc.