Big Data Analytics Career Report - Data Science Module

This report delves into the career opportunities within the field of Big Data Analytics. It highlights the increasing demand for data analysts across various sectors, including manufacturing, healthcare, and retail. The report emphasizes the diverse job roles available, such as consultants, analysts, and data scientists, along with the potential for high salaries and decision-making authority. It discusses the application of Big Data in enhancing customer relationship management (CRM) and the importance of acquiring skills in data mining, data visualization, and programming languages like R and Python. Additionally, the report underscores the opportunities for career growth, freelance consultancy, and the exploration of a data scientist role, making it a comprehensive guide for individuals considering a career in Big Data Analytics. The report also includes a list of references for further reading.

Running head: BIG DATA ANALYTICS IN CAREER
BIG DATA ANALYTICS IN CAREER
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Table of Contents
Career Choice for Big Data Analytics.......................................................................................2
References..................................................................................................................................4

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Career Choice for Big Data Analytics
The skill of “Big Data Analytics” finds its applications in various fields such as
manufacturing, healthcare, real estate, media, retail and education as well (Kolhatkar et al.,
2017). Hence, a few reasons why this stream will be a wise career choice are:
1. Demand for Analytic Experts: The need for technological professionals in
organizations are increasing day-by-day to explore the capability of Big Data and
enhance the business.
2. Immense Job Scope: Being a Data Analytic Expert is a ‘hot job’ nowadays and
counts for reputable designations such as consultant, architect, engineer, analyst,
associate and many more.
3. Profitable Salary Aspects: Since the application is in demand and the supply of
analytics is comparatively low, the experts can demand a lump sum amount from the
organization for their job responsibility.
4. Power in Decision Making: The experts in analytics will have the power to analyse
the processes and have the authority to make decisions favourable for the business
(Bumblauskas et al., 2017).
5. Enhance CRM: Majorly applicable for B2B organizations, the analytical experts can
build an effective customer-driven approach in their business.
6. Exploration of Tools and Techniques: Experts can enhance their skill sets in various
aspects such as data mining, data visualization, decision analysis and many more.
7. Learn Multiple Languages: Since data analytics is not confined to a single language,
experts can have the opportunity to enhance their domain in R, Python and so on.
8. Enhanced Growth Opportunity: The experts can shift their base in any industry
with their enhanced skills of data analysis.

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9. Freelance Consultancy Scope: Experts can choose to work for various organizations
simultaneously as a freelancer, rather than being limited to one organization or field.
10. Explore Skills as Data Scientist: As a combination of engineer and analyst both at
the same time, one can explore his or her role as a data scientist and perform all
activities related to data.

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References
Bumblauskas, D., Nold, H., Bumblauskas, P., & Igou, A. (2017). Big data analytics:
transforming data to action. Business Process Management Journal.
Kolhatkar, S., Pati, M. M., Kolhatkar, M. S., & Paranjape, M. M. (2017). Emergence of
Unstructured Data and Scope of Big Data in Indian Education. Emergence, 8(1).