Data Analytics Job Opportunities - At A Glance
With advancements in technology and most of the population having access to the internet, there is no denying that data analytics has become a hot topic in recent years. The data analytics job opportunities landscape looks promising and ranges to several industries, in fact, the nature of work often allows flexibility of working remotely or even self-employment. Besides that, even at the entry-level jobs the median salary for a data analytics job is quite high. According to a study, it is predicted that in the US alone 2.7 million job postings are estimated by 2020.
As more and more organizations are recognizing the importance of Big Data as a source to gain insights and make strategic decisions, the demand for skilled people in data analytics is increasing manifolds. Keeping this in mind we have compiled here some of the best data analytics job opportunities in the market today.
However, before we begin, let us take a brief look at the skills that will be required for a job in data analytics.
Most of the positions in the field of data analytics require the same foundation skills so the key is to master these before you start posting your resume to potential employers.
Python- This is one of the most commonly used programming languages. You may look up for an online Python tutorial to learn the basics of Python. It is important to have a solid understanding of how to use Python for data analytics even if is not a required skill in any job position since it will give you an upper hand in the job market. Though most of the online Python tutorial gives basic knowledge, however, you should also look for advanced programming proficiency to learn analyzing and manipulation of data. Also, understand the concept of data collection, web scraping and start building web applications.
SQL- Having a basic knowledge of SQL is often required for data analytics job roles. When going for an interview always go through SQL interview questions which are often asked by hiring managers. You can get the basic knowledge of SQL through a SQL tutorial online. Just like Python, SQL is also a relatively easy language to learn and the basic knowledge of SQL will take you a long way in your career.
Here are the few job opportunities worth looking into-
IT Systems Analyst
The required level of expertise differs in these positions thus creating opportunities for specialization by personal interest and industry. The system analysts design and use systems to solve problems in IT.
As a data engineer, you will be designing and implementing data infrastructure. This position is a step up in complexity, however, it’s your skill, knowledge, and preference that will be the deciding factor.
Healthcare Data Analyst
The healthcare data analysts can help doctors, scientists by finding answers to the problems and questions they encounter on a daily basis. With the growing amount of data in the health industry coming from the popularity of Apple watch or advanced medical testing in clinics, labs, and hospitals, the demand of data analysts in the sector is on the rise.
If you like working with big data frameworks or creating dashboards or like analysis or querying of data then this is a perfect job role for you.
Operation Analysts are typically found internally at big organizations but they may also work as consultants. The key responsibility is to focus on the internal process of a business. The professionals need to need to be general business savvy and also need to possess technical knowledge of the systems they work with. So from large grocery chains to military services, opportunities are many.
The professionals need to have fluency in programming to statistical and querying capabilities to managing, extracting, and designing to conducting initial exploratory analysis. Data Scientists also need to figure out the machine learning algorithm that will help in performing predictive analysis, visualizing the results and presenting it to the management.
This is one of the most sought-after job roles, especially in the financial sector. Data analytics is used to seek out risk management problems or potential financial opportunities. A quantitative analyst can venture out on his own to create trading models to predict the price of commodities, stocks, etc.
Digital Analytics Consultant
The primary responsibility is to deliver insights into a company to help in business. As a consultant, you can work for different companies in a small period of time.
Besides the above, you can also work as Project Manager, Digital Marketing Manager or Transportation logistics specialist if you have a data analytics background.
These were just a few of many high-paying jobs, the salaries may differ according to the city/country and the general cost-of-living expenses.