This document provides an overview of careers in big data and business intelligence. It discusses the differences between data scientists and business analysts, including their roles, skills, tools used, and career paths. While both fields are growing, data scientists focus more on technical work like coding and algorithms, while business analysts communicate between business and IT and help make data-driven decisions. The document suggests considering personal interests and skills when choosing between these two options.

1. BIG DATA VS BUSINESS INTELLIGENCE
PRESENTED BY
RAFIUL HASAN KHAN
ID: 1220617
SUBJECT: WORKPLACE IN BUSINESS INTELLIGENCE
- AN OVERVIEW OF THE CAREER PATHS, DIFFERENCES, AND PREFERENCE

2. CONTENTS
 Introduction
 Data Science vs Business Analytics
 Big Data Career
 Big Data Skills
 Business Analytics Career
 Business Analyst Skills
 Career Paths for Data Scientists and Business Analysts
 Which is a better career option for you?

3. INTRODUCTION
 Big data analytics is the often complex process of examining big data to uncover information -- such as
hidden patterns, correlations, market trends and customer preferences -- that can help organizations
make informed business decisions.
 On the other hand, a business intelligence analyst reviews data to produce finance and market
intelligence reports. These reports are used to highlight patterns and trends in a given market that may
influence a company’s operations and future goals.

4. BIG DATA VS BUSINESS ANALYTICS
 Both Big Data and Business Analytics add a lot of value to the companies, and the profit drawn is reaped
by these big companies as well. This calls for hiring proficient developers and experts both for Big Data
and Business Analytics roles.
 Fundamental difference between Big Data & Business Analytics:
 Big Data Scientist: Responsible for solving data-related problems to bring a sense of usefulness to the company
by converting a raw entity, such as data, and applying transformations onto it to eventually convert it into useful
information.
Vs.
 Business Analyst: Responsible for handling the business decisions that take place in day-to-day activities. A
Business Analyst acts as a bridge to actively gap the differences between the working of IT and the business side
of operations.

5. BIG DATA VS BUSINESS ANALYTICS
Big Data analyst Business analyst
Data analysis Needs analysis
Statistics Prototyping
Knowledge of data structures Knowledge of business structures
SQL and statistical programming Microsoft Visio and software design tools

6. BIG DATA CAREER
 In production environments and most IT firms, Data Scientists are a part of the frontend team who
handle the process of data collection, perform organized analysis, and tie it all up later using numerous
tools and techniques.
 A Data Scientist will have the technical skills that are immeasurable when working with data collection
and analysis.
 Algorithm design to collect and analyze data to eventually help deploy these to various systems spanned
across networks is a very vital skill.
 Mathematics and concepts on Machine Learning and Deep Learning take the centerstage when one talks
about becoming proficient in this field. The emphasis on these concepts is rightly put because the job
demands a lot of trend seeking and the ability to perform exceptional predictive analytics.
 A certification with a specialization in Data Science can help students or enthusiasts in developing the
skills required for the industry and eventually help secure a good job.

7. BIG DATA SKILLS
 Following are some of the skills and tools that a Data Scientist must have in their arsenal:
 Python
 Keras
 PyTorch
 Computer Vision
 Deep Learning
 Natural Language Processing
 Problem-solving
 Analytical Thinking

8. BUSINESS ANALYTICS CAREER
 Business Analytics revolves around the world of data extraction from structured and unstructured
datasets.
 Data governs certain decisions that are used to look back at past performances, analyze current
standings, and forecast potential future performance.
 A Business Analyst is involved in aiding business leaders by providing them with ample information and
results from analytics to help drive the company towards success.
 The important aspect of Business Analytics comes from a strong foundation in the concepts of statistical
analysis and data management. Along with this, Business Analysts must also be adept in analytical
planning and predictive analytics.
 Business Analytics is a field that revolves around data visualization. It forms an integral part of this career
path as it is one of the elegant ways to provide insights to the leaders based on the analysis.

9. BUSINESS ANALYST SKILLS
 Following are a few of the technical and business skills that aspiring Business Analysts should consider
having:
 Programming skills
 Statistical analysis
 Data querying tools
 Business Intelligence tools
 Data mining
 Analytical problem-solving
 Data visualization

10. CAREER PATHS FOR BIG DATA SCIENTISTS AND BUSINESS
ANALYSTS
 Fundamental difference between the Career Paths for big Data Scientists and Business Analysts:
 A Data Scientist’s primary assets are being involved in research, writing good code, and being proficient in
Mathematics. This continues along the career path as well.
 A Business Analyst, on the other hand, is involved with the development of strategies, building business-driven
insights, and more.
 One can compare the skills, and it is easy to notice that a Data Scientist’s role is more technical when
directly juxtaposed with the role of a Business Analyst.

11. CAREER PATHS FOR BIG DATA SCIENTISTS AND BUSINESS
ANALYSTS
Big Data Analyst Career Path Business Analyst Career Path
Data Scientist Business Analyst
Senior Data Scientist Senior Business Analyst
Chief Data Scientist Analytics Expert
Entrepreneur Strategy Leader

12. WHICH IS A BETTER CAREER OPTION FOR YOU?
 Before we move on to discuss which career path should be chosen, let us first look at some facts.
 As per Markets and Markets reports, the Data Science market is expected to grow to USD 140 Billion by 2024, and the
Business Analytics market is expected to grow to USD 100 Billion.
 It is estimated that both the domains would grow further and prove to be a good career option.
 Both Data Scientist and Business Analyst roles are data-based roles but they differ a lot in terms of their usage
in an organization.
 Data Science typically works on complex and very specific problems for the long-term growth of the company.
 Whereas, a Business Analyst is involved in both the analytics and business side of the organization. It drives data-driven
business decisions and is responsible for communicating with IT and management simultaneously.
 Perspective on the use of tools:
 As a Business Analyst, we will be working with tools like Excel, Tableau, SQL, Python.
 Whereas, the commonly used tools by a Data Scientist are R, Python, Keras, scikit-learn, etc.

13. WHICH IS A BETTER CAREER OPTION FOR YOU?
 The two roles may sometimes overlap based on the organization’s internal preferences, decisions, etc.
Hence, knowing and understanding the exact day-to-day job in both roles is essential before deciding
the career path.
 Be it a Data Science role or a Business Analysis one, the number of job opportunities are virtually
endless. The concepts are very elegant to learn and implement to solve a variety of problems.
 Be it Data Science and Business Analytics salary, the numbers have been nothing but impressive both in
the USA and the rest of the world.
 Therefore, the only point that needs to be considered is which role do we find interesting and would
love to do.

14. CONCLUSION
 In collusion, an important aspect to take away here is that each of these career paths has numerous
advantages.
 Depending on what our inclination is and the factors mentioned before, we could go on and consider
one of these top career paths to follow!