Career in Business Analytics

Career in Business Analytics

Business analytics involves working with large sets of data, this data can be of varied nature like- consumer preferences, what they like-dislike, their buying patterns, and so on. It is used by almost all industries like Banking, telecommunications, FMCG, IT, Auto ancillary, Insurance and so.

Companies use various statistical and empirical models to derive meaningful conclusions from the data so that it can be used for long term strategic business decision.

The success of a business depends on its ability to filter through tons of data and derive meaningful and useful inferences from it

Data forms the fundamental crux on which long term decisions are taken by the company, below is the list of some top schools abroad and in India known for business analytics

Abroad

1. MIT Sloan School of Management, USA
2. Imperial college of business school, UK
3. University of Texas- Austin McCombs School of Business
4. ESSEC, Paris
5. ESADE, Spain

Source – https://www.topuniversities.com/university-rankings-articles/world-university-rankings-masters-business-analytics/top-10-universities-masters-business-analytics-degrees

India

1. Amity Business School
2. MIT world peace university
3. Lovely professional university
4. Narsee Monjee Institute of management
5. Welingkar Institute of management

Source- https://bschool.careers360.com/colleges/list-of-business-analytics-colleges-in-india

Education Requirement for Career In Business Analytics

To pursue a career in business analytics and to be eligible to study it, a graduation is a must, preferably in Finance, Engineering, Economics, IT or any other relevant degree.

Some universities do prefer students who have some prior work experience but it is not mandatory. And depending on university various entrance exams will have to be given like GMAT, GRE, CAT, NMAT. It is always best to narrow down a few universities that one is interested in and be aware of the prerequisites for that particular university.

Career Path and Job Position

As I mentioned in the introductory paragraph, business analytics is used by various types of industries and hence a degree in business analytics opens up doors to various industries, this is very beneficial and helpful to a person who is looking to shift industries from his existing industry and explore other industries

The skills acquired enable an individual to choose the industry and company of his/her choice and give them a lot of flexibility in choosing their employer.

Moreover, after a few years once a person gathers sufficient experience, he will have plenty of opportunities for growth in form of better pay and job status because the skills acquired will be applicable for various firms.

Below are some of the reasons for studying and pursuing a career in business analytics

• Make a better business decision: When a business is able to get hold of good quality data it can leverage it to its advantage and take accurate decisions
• Solid understanding of statistical theories: Business analytics will make your quantitative skills very strong, one will build a good understanding of statistical theories like Hypothesis testing, probability, linear and multilinear regression, econometrics
• Strong knowledge of technical skills: One will become well versed in programming languages like R, Advanced Excel, Python, SQL. One needs a good understanding of one or more of these languages as they assist in filtering large tons of data and making work much easier
• Achieving cost saving for the organization by drawing meaningful inferences from data
• Being at the forefront of the industry by analyzing meaningful trends from data
• Aligning operations of the organizations with its strategic objectives
• Easy availability of data: With massive growth and development in the technology sector along with an introduction of social media platforms like Facebook, Twitter and WhatsApp there is tons of data that is available cheaply; this is much more efficient than traditional means of collecting and collating data

Career Positions and Options in Business Analytics

After completion of a business analytics degree, it is expected that a person can quickly sift through and analyze tons of data and come up with a meaningful pattern and trend that can help the company grow its revenue and achieve its strategic goals. Below is a list of potential positions that a candidate can opt to pursue his or her career in

• Business intelligence analyst
• Business insights analyst
• Business analyst
• Commercial insights manager
• Data science manager
• Data engineer
• Risk analyst
• Data analyst

As we can see from above, it is a very diverse list and such positions are there for various companies across different industries. This more or less guarantees that a person will land up with a job after completion of this degree

Salary (US Data)

source- https://www.zippia.com/research/business-analyst-salary/

Career Outlook in Business Analytics

As per data obtained from US Bureau of Labour statistics, the hiring of individuals who have done business analytics is expected to grow approximately 14% from 2014-2024, that is 14% increase in the span of just 10 years. This clearly indicates that demand for a business analyst is high and this is the course to do for the young generation who want to step into the corporate world

Conclusion

Hence I would like to conclude this article by stating that business analytics is a process of methodical exploration and study of data aided by statistical tools.

• Companies need a business analyst to make strategic decisions by studying and filtering the heaps of data.
• Companies using data to formulate strategies and study market trends treat their data as a corporate asset and try leveraging it for growth and revenue generation.

And lastly, successful business analytics depends on the quality of data, (data should come from reliable sources and not be manipulated), skills of the business analyst who has a strong understanding of technology and business and an organization committed to data have driven decision making

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