4. Technical Skills:
Business Intelligence: The roles that would be ideal for our company are a skilled candidate who has proficiency in business and financial analysis, advanced analytical skills, knowledge and working experience of SQL and BI tools.
Data Science: Things that need to be programmed include Python, understanding of at least two approaches to machine learning, and data munging and big data systems.
5. Career Goals
Business Intelligence: Designed for those who need to analyze operational activities and want to see more reports and visualizations.
Data Science: Desirable for anyone who dreams of top priority projects in innovative fields, creating new algorithms, and promoting the company’s strategic actions based on forecasting.
6. Educational Background
Business Intelligence: Solely embarked upon by those who studied business, information systems or analytics as their primary course of study.
Data Science: Usually recruits those with the computer knowledge, or from the field of mathematics, statistics or engineering fields.
7. Job Market and Opportunities
Both fields offer strong job prospects, but the demand and opportunities can vary:
Business Intelligence: Roles are common in areas that comprise operations of large companies, such as the finance industry, healthcare services, and retail among others that require the analysis of large amounts of data.
Data Science: The demand for talent with experience in the field is considerable particularly in tech startups, research organisations and companies that are located within industries and niches that work with AI and machine learning.
