Why Data Analytics is a good career?
The first question that comes in mind is Data Analytics a good career?
Yes, Data Analytics is an excellent career option. To be a Data professional it’s never too late. About 2.5 quintillion bytes of Data are created every day, and the pace is accelerating. This Data explosion will revitalize the industries that use it. As organizations collect large and complex Data, it is inevitable that they want to make use of it, and Data Analysts are at the forefront of this trend.
High demand for Data Analysts correlates with increased salaries. Many Data Analyst salaries are well over $70,000 for even junior positions.
In addition to high demand and reasonable salaries, Data Analysts have the opportunity to collaborate and contribute to the decision-making process at the highest level. This can also lead to opportunities for management positions. Many Data Analysts also enjoy the opportunity to travel and work remotely, or simply move abroad. Whether the type of work is right for you is entirely up to you, but salary, benefits and job security are important.
Data has become a key indicator that defines a company's performance. It helps businesses understand their customers, improve their advertising strategies, and deliver an overall improved customer experience. The field of Data analysis is broad and encompasses many different goals and techniques. Data analysis refers to analyzing raw Data to find trends and draw conclusions about these trends in the simplest way. Such conclusions help optimize processes to increase the efficiency of a company or organization. As a result, nearly every organization employs Data Analysts to keep up with and derive actionable insights from the massive amounts of Data being generated every second. Undoubtedly, it is worth talking about the Data Analyst career her path.
If you're wondering, 'Is Data Analytics a good career?', check out our comprehensive guide to Data Analytics career paths, Data Analyst roles, and Data Analyst career history.
Roles & Responsibilities of a Data Analyst
- Data processing:
- Data Visualization and Presentation:
- Automation Procedures
- Applying analytical techniques:
importing, cleaning, transforming and validating Data into the conditions necessary for the application of analytical tools. Additional monitoring of Data quality.
Display Data in charts, tables and graphs and develop relational Databases for better taxonomy. Create crisp Data reports so your business can understand your insights.
Design automated processes to improve the efficiency of Data organization and analysis.
Data Analysts apply mining, statistical, and analytical techniques to large Data sets to generate meaningful patterns and conclusions.
Data Analysts produce observational reports for external and internal audiences. The report should be clear and should contain detailed explanations of business insights and future projections.
Data Analyst Career Path
A Data Analyst's career path depends on the industry you work in. Those who want to become Data Analysts typically jump into this field and begin their entry-level Data Analyst career right after graduating by doing a Data Analytics certification courses. Some people may move into Data analysis from related fields such as business, economics, or even social sciences. It is usually done by developing skills midway through a career through Data Analytics courses.
Data Analyst is also a great entry point into the more advanced world of Data science. Data scientists typically rank higher than Data Analysts because they are more strategic in nature and require more advanced technical skills, such as experience with various programming languages, statistical tools, and predictive Analytics models.
To land a job with Data, aspiring Data scientists and Data Analysts typically start by learning languages like R and SQL. From there, you should learn how to create Databases, perform basic analysis, and generate visualizations using programs like Tableau.
Depending on your industry and the nature of your job, you can choose to learn Python or R, become a Data cleaning pro, or focus on building complex statistical models.
Why choose Data Analytics as a career path
Analytics is the latest trend to increase organizational productivity. For better results, companies are looking for a skilled workforce that can extract insights from large Datasets using specialized Data mining tools and techniques. Here are the top reasons to choose Data Analytics as a career choice.
- Lack of talent with the necessary skills:
- Data analysis is a top priority for every organization.
- Broad Job Opportunities Across Different Sectors:
- The most obvious reason to consider a career in Analytics is the amount of Data generated every minute.
- Plenty of opportunities to work with elite brands
- Attractive Salary Package
The market for Data Analytics job profiles is growing rapidly, but there is a large gap between the number of qualified professionals and the existing Data Analyst population. The biggest challenge in business Analytics is the lack of professionals with analytical and statistical knowledge that can be implemented on top of Data lakes to build and leverage them
Businesses large and small are turning to virtual platforms. The adoption of big Data is therefore a top priority for the company, creating opportunities in telecommunications, banking and insurance, healthcare, and various sectors. This transformation has resulted in improved marketing, B2B marketplace interactions, and synchronized operations and manufacturing. Ever-evolving Data and its productive results make the future of big Data Analytics brighter.
The Big Data Analytics Framework spans larger domains and provides technical and non-technical business Analyst profiles to drive business growth. The top job responsibilities offered after mastering big Data Analytics are discussed in later sections of the article.
This vast amount of Data is essential for businesses to discover new market opportunities and increase efficiency. According to Statista, the forecast for global Data creation in 2020 is 59 zettabytes, promising more in the future. One of the main sources of Data traffic is the Internet of Things (IoT), and the numbers are well documented. In 2019, his IoT connections around the world generated 13.6 zettabytes of Data, and this figure is projected to grow to 79 zettabytes by 2025.
One of the best things about being a Data Analyst is the opportunity to work with some of the biggest names in the industry. Global brands such as Microsoft, Oracle, IBM, and SAP are among the top big Data Analytics software providers. Below is an industry breakdown showing some of the leading companies and organizations hiring professionals with relevant Data science skills.
Banking, Financial Services, and Insurance: HDFC, HSBC, JPMorgan Chase, ICICI Bank, etc.
Healthcare: Sanofi, GE Healthcare, GSK, etc.
Media and Entertainment: Netflix, Fox, NDTV, etc.
Retail: Amazon, Walmart, Flipkart, Reliance Retail Ltd., ITC, etc.
Telecommunications: Reliance Jio, Bharti Airtel Limited, BSNL, etc.
Automotive Industry: Volkswagen, Honda, Hyundai, Maruti Suzuki, etc.
One of the positive aspects of a Data Analytics career is the salary increases that come with it. Salary packages for big Data jobs are increasing to meet the demand of Data Analysts. According to a study by IT job exchange Robert Half Technology, most big Data jobs offer salaries in his six-figure range and additional compensation well above normal market salaries.
Data Analytics is a rapidly growing field with attractive opportunities for professionals in various industries. With the current surge in demand for skilled big Data professionals, there is no better time to enter the big Data job market. If he/she is convinced that a Data Analyst career is the best fit for him/her, he/she should start preparing to win one of the many coveted Data Analyst positions. Most importantly, focus on the skills and experience you need to add that extra edge to your resume.