The Rise of Data Analyst 2.0: A New Era in Data Analytics
Aspiring Data Analyst role? Read this article to make it more impactful!
Published in
4 min readJan 3, 2024
In today’s data-driven world, the role of a data analyst has evolved significantly from its traditional roots. The emergence of Data Analyst 2.0 represents a paradigm shift in the field of data analytics, bringing a host of new skills, tools, and responsibilities to the table. In this article, we will explore what a Data Analyst 2.0 is and how it differs from the traditional data analyst role. Furthermore, we will highlight the crucial role Data Analyst 2.0 professionals play in the foundation of big data platforms.
The Traditional Data Analyst: A Brief Overview
Traditionally, data analysts have played a vital role in organizations, helping make sense of numbers and trends. Their responsibilities typically included:
- Data Collection and Cleaning: Gathering data from various sources and ensuring its accuracy and consistency.
- Basic Data Processing: Using tools like SQL and Excel to organize and manipulate data.
- Descriptive Analytics: Focusing on what happened in the past, using basic statistical techniques to identify trends and patterns.
