Promising Career Opportunities in the field of Data Analytics

Data has played a transformational role in the perception of business processes all across the world. The usage of data in various forms has opened new pathways to gaining business success. Resultantly, it has opened new career opportunities for the youth which is one of the hot topics for discussion today. Data analytics, data mining, research and related topics are being taught to candidates so that they are able to pursue careers in their aspired fields.

Why to Choose a Career in Data Analytics?

Well, given the magnanimous benefits of data in this data-driven world, the scope of Data Analytics is prolific. Even, the quotients about the high earning potential and high demand of these roles are prevalent in the industry. While both these are certainly true, there are several other reasons too to consider a job in this field. There are various types of roles in the field of analytics that includes data scientists, business analysts, data engineers and others.  Analytics professionals use cutting-edge technology and tools to extract insights from data, which can be exciting and challenging. There is good career probability for engineering graduates if they consider studying Data Analytics. Individuals working in this industry play a significant role in providing the required support to clients and help them make data-driven decisions, which can have an impact on the success of the client.

As one progresses in this industry, they are likely to find opportunities for career advancement. Many professionals have started in entry-level roles and have worked their way up to good management positions. As data is becoming an increasingly important subject for organizations, the demand for analytics professionals is likely to grow in the times to come thus providing job security in the field.

Top Careers in Data Analytics 

Data Scientist

If someone is curious about how to become a data scientist, the job responsibilities include Collecting, analysing and interpreting large sets of complex data, Using statistical and machine learning techniques to identify patterns and trends in data, Making predictions and informing business decisions that add value to the core business processes. The person interested should have a background in computer science, statistics, or mathematics and should be proficient in programming languages such as Python and R

Business Intelligence Analyst

A career in business intelligence analytics focuses on providing support to client businesses make data-driven decisions by analysing and interpreting complex data. In this role the candidate will use a variety of tools and techniques to extract insights from data and present this information in a clear and actionable format to decision-makers. The job responsibilities include collecting and analysing data to help organizations make better business decisions and using data visualization software to present data in a way that is easy for non-technical stakeholders. The candidate interested needs to have a background in business or a related field and also have experience with data warehousing and BI tools such as Power BI, as well as SQL, Excel, and Tableau.

Business Analyst

The role of an analyst is slightly different. Essentially, while both roles focuses on collecting, analysing, and visualizing data, identifying the pain points, and generating the reports, business intelligence mainly uses descriptive analytics, while business analytics uses diagnostic, predictive, and prescriptive analytics.

Marketing Analytics Manager

A marketing analytics manager brings many functions together on the table. They are responsible for using data and analytics to inform and optimize marketing strategies of a company or a client. This career is data focused and works on collecting and analysing of data in areas like consumer behavior, marketing campaign performance, and market trends to gain insights that inform and improve marketing efforts.

Financial Analyst

It’s a role that requires heavy quantitative and data-oriented skills, analysing data, communicating insights, creating forecasts, and predicting outcomes. This is another suitable career option for engineering graduates where they can gain knowledge and experience through work. 

Data Analytics is a promising field extensively backing the businesses and elevating their performance alleviate student's stay in a foreign land. It is essential that students take out time to prepare and apply for as many scholarships as possible. After all, it is your money to save!

To conclude, Data Analytics is a rich field, one who is really passionate about science and technology should go for it!