What is Data Analytics?
Data Analysis concentrates on making insightful conclusions from raw Data.This Data arrives from distinct sources like Business transaction, Customer Information, Order details, Product details, social media, search engines, and mobile devices in high volume and velocity. Businesses use Data Analytics to structure the scattered Data to generate meaningful patterns. It powers up the business by improving decision-making, making future predictions, and enhancing business intelligence.
1.Data Analysts Are In High Demand
Every day the amount of Data that is created, copied, captured, and consumed keeps increasing rapidly. That is why the need for people to process Data will also keep increasing. Data analysis is the present and the future, that will demand skills for jobs as Data Analysts, Data engineers and Data scientists.
Skilled experts in Data analysis are some of the most sought-after professionals in the world. This is because of the high demand for Data analysis and the limited supply of experts in this field. Any organization that uses Data needs a Data Analyst. This means Data collection is growing and many organizations are collecting and using Data. It’s inevitable that companies will need experts to process their raw Data and produce meaningful information that can help move their agenda forward. The demand for Data specialists is on the rise while the supply remains low, thus creating great job opportunities for individuals within this field.
2. Work opportunities in a wide range of sectors
As a Data Analytics professional, you’re not usually limited to working in a particular sector, which can be a huge advantage. Every sector benefits from Data Analytics.
Many sectors are dependent on Data, so you could opt for a career in any number of industries, including:
- Banking and Securities
- Media & Entertainment
- Pharma & Healthcare
- Education
- Manufacturing
- Insurance
- Transportation
- Government
- Business intelligence
- Marketing
- Sales
- Finance
- Opportunities to work with Premium brands
One of the best aspects of the Data Analyst career path is that you get opportunities to work with some of the big shots of the industry.
Healthcare: GE Healthcare,Sanofi, GSK
Media and Entertainment: Viacom, Netflix, Dish Network, NDTV
Retail: Walmart, Amazon, Flipkart, Reliance Retail Ltd.
Telecommunications: Bharti Airtel Limited ,Reliance Jio, Vodafone-IDEA, BSNL
Automotive Industry: Maruti Suzuki,Volkswagen, Honda, Hyundai
3.High Salary Perks
The high demand for Data Analysts makes Data analysis a well-paying career. A Data Analyst position commands a high salary and competitive perks from entry-level to senior-level positions. Strong demand for Data Analytics skills is boosting the wages for qualified professionals.
Salaries for Data Analytics professionals range between 4LPA and 12LPA.
Salaries for Data scientist range between 7LPA and 50LPA.
A productive aspect of a Data Analytics career is the salary growth associated with it.
Further, since Data Analytics professionals with the requisite skills are hard to find, you can expect a pretty good paycheck if you have the right knowledge and expertise. With the supply of talent running low like we previously said, salary packages are bound to remain alluring for deserving candidates. Shifting to a Data Analytics career has monetary benefits that are way greater than that of other IT jobs.
4.Opportunity for Promotions
Opportunities for growth in the Data analysis field are many. You can start as a junior Data Analyst and progress to a senior Analyst or Analytics manager further as a Data Scientist or even Chief Technology Officer.Developing your technical and leadership skills and experience can make it possible to move to higher positions and scale your career ,you have a long future of steady job growth ahead.
5.Job Security
There is a high demand for Data Analysts as Data creation and collection increase.
These include analysis jobs like business intelligence Analyst, Data Analyst consultant, marketing Analyst. Others are Operations Analysts, Data scientists, Data engineers, and qualitative Analysts. This creates a sense of job security with the many available options.
while the COVID-19 pandemic adversely affected most other tech job profiles, the Data science industry made it out with way fewer salary cuts and lay-offs. Thus, there is a huge demand for Data Analysts who can help transform business trajectories.
6.Personal Satisfaction
Transforming raw Data into meaningful information that can move an organization forward comes with a sense of accomplishment. It makes you one of the key decision-makers in an organization that brings personal and professional fulfillment.
7. Gain problem solving skills
Analytics is all about solving problems. The problems just happen to be on a much larger scale than what many of us are used to - effecting entire businesses, along with the staff and customers that they serve. The ability to think analytically and approach problems in the right way is a skill that's always useful.
8.You will be at the core of decision-making in the company
One of the most sought after job expectations is the power to make decisions. Often, lack of decision-making power makes a job dissatisfying.
However, as a Data Analytics professional, you are at the core of decision-making for your company. In fact, you will be an integral part of business decisions and future strategies, because you study trends, you provide meaningful insights on future scope of improvement, thus giving you an important role and purpose within the organization.
9.Structured learning approach
By undergoing structured Data Analytics certification course, you learn each of the major fields of Data Analytics in an organized, logical manner. Given how dynamic the industry is, having this structure while you are learning is crucial. Otherwise, if you just learn by reading a blog or watching a video, you only get pieces of information, and you don’t build a deep understanding of how everything works.
10.No prerequisites for taking the certification
Almost anyone can learn and complete a Data Analytics certification. It does not require any prerequisites. You can be fresh out of college looking to learn something new. As long as you invest the time and effort needed to succeed in the course, you should be able to get your certification. And more importantly, you’ll build the skills needed for becoming a successful Data Analytics professional.
If you have a natural acumen for asking questions and finding solutions, a career in Analytics is just for you. Regardless of your academic and professional background, you can easily kick-start your Data Analyst career if you have the relevant skills.
Key Takeaway
Jobs in Data analysis will continue to increase, and HR in different industries will keep recruiting more experts in this field. Many companies use Data, and they need Data Analysts to help them make critical business decisions.
This makes Data analysis an excellent career to pursue. The future of Data analysis looks bright as many industries continue to embrace machine learning and big Data. The number of Data Analyst jobs will continue to increase.