How to Become a Data Analyst: Skills, Roadmap & Certifications

  • By: Admin
  • Date: July 28, 2025
  • 130 Comments
blog-7

Data is the new oil, and Data Analysts are the modern-day refiners who turn raw data into actionable business insights. As industries increasingly depend on data to drive decisions, the demand for skilled data analysts is skyrocketing across sectors like healthcare, finance, retail, marketing, and tech.

Whether you’re a fresh graduate, a working professional looking to switch, or a self-learner, this comprehensive guide will walk you through everything you need to become a data analyst—from core skills to certifications to career pathways.

quot

Ready to start learning? Explore our Post Graduate Program in Data Analytics with job assistance, live projects, and top mentorship.

Table of Contents

  1. Who Is a Data Analyst?

  2. Why Become a Data Analyst in 2025?

  3. Key Responsibilities of a Data Analyst

  4. Essential Skills You Need

  5. Top Tools & Technologies

  6. Step-by-Step Roadmap to Become a Data Analyst

  7. Best Certifications to Boost Your Career

  8. Career Paths After Becoming a Data Analyst

  9. FAQs

  10. Start Your Data Analytics Journey with BookMyLearning

Who Is a Data Analyst?

A Data Analyst is a professional who collects, cleans, analyzes, and interprets data to help businesses make informed decisions. They bridge the gap between data and business goals using statistical tools and visual storytelling.

For example:

  • A data analyst in e-commerce might analyze customer buying behavior.
  • In healthcare, they may identify treatment trends or optimize hospital resource usage.

Why Become a Data Analyst in 2025?

  • High Demand: According to LinkedIn, “Data Analyst” is one of the top 10 most in-demand jobs globally.
  • Lucrative Salaries: In India, entry-level data analysts earn ₹4–6 LPA; mid-levels earn ₹10–15 LPA+.
  • Low Barrier to Entry: You don’t need a PhD. Anyone with the right skills can become a data analyst.
  • Work Flexibility: Remote roles, freelance gigs, and global work opportunities are booming.
  • Diverse Industries: From sports to space, data is everywhere.