Ever wondered how e-commerce sites like Amazon come up with suggestions about similar products? How Netflix suggests you show on the basis of your watch history or even how Spotify makes specially curated playlists for you matching your exact music taste?
How many times have you thought that Google is spying on you because it shows you advertisements for the exact thing you were looking for yesterday? Wondering how we know this? Well, we are talking about data. Let us explain!
So now you do know that be it the entertainment industry, Internet search, Online shopping or even healthcare, data is collected and used everywhere. Data science plays a key part in the backend of e-commerce platforms, making it possible for those notifications to appear whenever you explore the site. By analysing their databases for client preferences and behaviour patterns, Netflix creates and curates highly targeted shows. Data science is being used by us in practically every situation, from Facebook’s suggestions for new friends to Google’s assistance in completing a search phrase to Netflix’s predictions of television episodes based on your likes and many more. If you find these things interesting and would like to work on the other side of this, then you are in the right place. Let’s talk about the cool career options in Data!
Does It Even Have Any Scope?
You might not know this but data science has opened up a whole new range of work opportunities, according to the Harvard Business Review, which called it “one of the sexiest jobs in 2021.” Due to developing technology and the creation of enormous volumes of data (Big Data), there is a great demand for data professionals and there are no signs that the rise will slow down. So, think about it in this way, companies are moving online, they require data, and to see consumer behaviour they need to analyse the data. This process takes place in every sector which means there is an opportunity for a career in data in all these sectors:
Additionally, you can find them in major insurance organisations, credit bureaus, technological corporations, and in just about any sector you can imagine. Demand has led to an increase in data scientist salaries as well; in this field, you can often expect to make six figures.
Demand also translates into the opportunity to relocate much more easily, both domestically and abroad. Now that you know it’s a great field to have a career in, let’s jump right in and see the career options!
Getting your undergraduate degree in data science or another closely related discipline is the first step to becoming a data scientist. You need to be familiar with business difficulties in order to provide the best solutions through data processing and analysis.
Data Scientists gather and analyze data that can be delivered as actionable insights, making this one of the most well-known Data Analytics career opportunities.
When working with complicated data and advanced analytics, data scientists frequently need considerable competence in data analytics, including knowledge of programming languages like
A career in advanced data analytics that integrates the knowledge of data science, machine learning and artificial intelligence is called “machine learning engineering.”
You need a solid foundation in computer science, computer programming, data science, and mathematics to become a machine learning engineer. You should ideally hold an undergraduate degree in one of those fields.
A Machine Learning Engineer must be knowledgeable in:
A business intelligence analyst’s job is to study and examine data to find areas where adjustments may be made to boost productivity and efficiency while advancing the organization’s overall objectives. Typical majors for business intelligence analysts are:
It is the job of logistics analysts to use data to streamline all phases of the supply chain: from ordering to shipping to delivery.
In order to increase the efficiency of product production, distribution, and delivery, logistics analysts analyze data to detect possible profit losses along the supply chain and then use that data to build cost-saving solutions.
Marketing analysts are in charge of assisting businesses in better understanding their target markets and consumer base.
Marketing analysts typically examine data sets pertaining to a company’s target market (such as market research, purchasing patterns, and customer surveys) and use their analysis to create strategies to assist businesses in better connecting with new customers and marketing to their current client base.
Data-driven decisions for marketing and sales-related activities are made by marketing analysts.
Marketing analysts might have a number of educational backgrounds, including:
A data engineer is entrusted with organising the organisation’s infrastructure around various Data Analytics processes while frequently focusing on enormous data sets. To meet the need, data engineers must not only have good programming and data visualisation skills but also experience creating and testing solutions.
A bachelor’s degree in computer science, software or computer engineering, applied maths, physics, statistics, or a related discipline is required for entry into this field. Many data engineers even begin their careers as business intelligence analysts or software engineers.
An organisation depends on data and information, particularly when it comes to journalism. In order to find data, separate the good data from the poor, and analyse it for simplicity, publications and a number of news organisations need data journalists.
In order to find data, separate the good data from the poor, and analyse it for simplicity, publications and a number of news organisations need data journalists. If you are considering a job in data analytics after earning a degree in journalism, you should know that data journalists need to be specialists in data visualisation and statistics as well as have strong technical abilities in SQL and Python.
There are several ways you may get ready to take on these demanding yet interesting tasks if you want to enter into the field of data science. Since data is used everywhere, every day, you will definitely find your field of interest!
Get Going, Move Towards Data!
Just like the overflow of data, there is an overflow of careers in data too!
With so many options, all you need to figure out is – which of your interests would work well with your skills. If you need help figuring out which data career you should pursue, head to Mentoria’s assessments section and get started right away! We’d be happy to help you discover who you are and which career you’re best suited for.