According to IBM, around 90 percent of global data has been created in the past few years alone. Companies are now facing the immense challenge of finding results-driven individuals who know how to use this data to optimize the competitiveness of an organization.
A Big Data scientist is someone with the a set of tech skills, including coding, statistics, machine learning, database management, visualization techniques, and industry-specific knowledge. Big Data scientists must also have managerial skills as well as a background in human behavior.
According to IBM, around 90 percent of global data has been created in the past few years alone. Companies are now facing the immense challenge of finding results-driven individuals who know how to use this data to optimize the competitiveness of an organization. McKinsey estimates that there will be a shortage of 140,000-190,000 people with deep analytical talent within five years. The job outlook for business analytics professionals is extremely positive for the coming decades.
The massive generation of data is changing the way companies and governments do business. Leading organizations are tapping into Big Data & Analytics to transform their businesses and uncover new sources of value in their industries.
Data specialists face the challenge of extracting relevant insights from data by using advanced analytics and cutting-edge technologies to drive decision-making processes. They are front office professionals and results-driven individuals who are specialized in identifying, collecting, analyzing, interpreting, and transforming data.
Companies, non-profit organizations, and governments are struggling to optimize the performance of their operations and the quality of their decisions to stay competitive. As a result, there is a large and growing demand for specialized professionals who can use data to drive value and innovation.
These companies aren’t just looking for technologists. They’re looking to hire dynamic and specialized professionals who come from diverse backgrounds, such as business, engineering, economics, and mathematics.