5 career opportunities after completing your Business Analytics Program

Companies today, focus more on understanding their critical business issues before venturing into something new. With a challenging economy, it is vital for organizations, big and small, to make decisions based on past data. Before venturing into a successful plan, you must, first and foremost, study trends. analytical data available in your domain, these help you determine different ways you can take a stride ahead to gain positive results.

In order to achieve this, an organization’s primary requirement is to equip their staff with Business Analytics skillset. With big and bigger data making a significant role in our country today, we’ve decided to share the top 5 careers that are currently revolving around this domain.

1. Data Scientist, Emphasis On Computer Science/Technology

Not all who pursue Business Analytics, love numbers and statistics. On the contrary, some people show particular interest in the technical aspect of business analytics. If you belong to this category, Data Scientist should be a career option that you look forward to.

Work Portfolio:-
  • Data scientists work alongside with databases, coding, high-performance computing and parallel processing, and machine learning.
  • Data scientist work with tools that help in data visualization (Representing data and analysis via charts and tables).
  • Data scientist help classify data sets and in creating predictions that can be leveraged for business.
  • Work with Python, Spark, Scala, and Julia to help make your job easier.

2. Data Scientist, Emphasis On Analysis

Aside from showing interest in technology, some data scientists show more interest on the analytical side of the domain. Focussing more on math and statistics, these data scientists have a particular interest towards reading statistics and understanding the trends than coding.

Data scientist with an interest towards analytics, help build complicated data models and simulations in a big data environment.

3. Quantitative Analyst/Modeler

A quantitative analyst/ modeller, help in comprehending data models to support business decisions. Primarily used in the financial industry, these analysts, help manage risk and in making decisions based on the trends of data models to provide more reliable and consistent results.

Quantitative analyst usually has a strong background in mathematics, science, computer science and engineering. The ability to work with mathematical models is more valuable as it offers more concrete results, eliminates the risks associated with human reasoning.

4. Business Analyst (Data)

Are you amongst those whose seeking a blend of business interpretation and analytics? The role of a Business Analytics (Data) is what you should pursue.

While data scientists help in building a visual representation of data and in generating actionable information from data, a business analyst makes use of this information to generate insights about the business.

To be business analysts with an emphasis on data, you must have knowledge about the technical components related to managing and manipulating data.

5. Business Analyst (Manager/Consultant)

Inspired to be a leader and handle a team. You can choose to be a manager/consultant with a core emphasis on the business analytics domain.

A Business Analyst Manager has a good grasp of technical tools, data analytics foundation methods, data gathering and processing, having a big picture of insights and in team management.

Other vital skillsets to become a Business Analyst manager is communication, leadership, team management and strategic thinking.


Why choose Virginia Tech India’s Postgraduate program in Business Analytics?

Virginia Tech’s Business Analytics program is an interdisciplinary program that requires expertise from marketing, finance, artificial intelligence, statistics, databases, programming languages, cloud computing, enterprise systems and a host of other areas that are needed to build an effective environment for analytics solutions.

As a part of our curriculum, we work closely with the industry, to listen to their needs in order to make the program provide students with the best return on your investment in time and money.

The program integrates four dimensions of learning: data, models, technology, and domains and is designed to breed an entrepreneurial spirit with its students. We prepare innovative thinkers who can provide effective solutions that benefit society and the economy.

Leave a comment