Predictions for the Data Analyst Role in the Next 5 Years

Introduction

• Based on 10 years of industry experience and observations.
• Aimed to help data analysts grow in their careers.
• Key theme: upskilling and continual learning.

Prediction 1: Universal Data Analysis Skills

• Key Idea: Data analysis skills will become essential for non-data analyst roles.
  • Job families: product managers, software engineers, etc.
  • Automated tools making basic data analysis accessible to all.
• Example: Product managers now managing A/B tests themselves.
• Implication: Data analysts and scientists will be involved only in complex use cases.

Prediction 2: Blurred Lines Between Data Analysts and Data Scientists

• Key Idea: Roles and required skills for data analysts and scientists will merge.
  • Skill requirements vary by country (e.g., Python not required in the US but essential in India).
  • Globalization and outsourcing are influencing skill set changes.
  • AI advancements will make coding more accessible.
• Example: The emergence of the