The Death of Excel and Data Jobs
Excel is dying. Google Sheets is obsolete. Data analyst jobs are evaporating in 2025. AI systems like ChatGPT can now perform complex spreadsheet operations, data analysis, and report generation in seconds – tasks that took data analysts weeks to complete.
Why Companies Are Firing Data Analysts
A company employing 50 data analysts paying ₹40-60 lakhs each = ₹2-3 crores yearly cost
AI data analysis subscription: ₹50,000 per year
The math is simple. Your entire data team is being automated.
Data Analyst Job Market Collapse
2025: AI tools become standard in all companies. Manual spreadsheets become obsolete. Junior data analysts compete for 1/10th as many positions.
2026: Advanced analytics roles require AI expertise. Basic data analysis work disappears completely.
2027: Senior data analyst positions shrink 80%. Only specialists in AI-driven analytics survive.
2028: Most “data analyst” jobs have been replaced by 1 AI-powered analytics engineer per department.
2029: The role of “data analyst” barely exists in its traditional form.
What This Means for BTech Graduates
You learned Excel in college? Worthless.
You know SQL? Outdated without AI integration.
You completed a data science bootcamp? Flooding the market when demand is collapsing.
Thousands of data science graduates will compete for positions that now require handling AI, not creating analyses manually.
The Skills That Still Have Value
AI prompt engineering for data tasks
Data pipeline design with AI integration
Data governance and AI oversight
Predictive modeling with generative AI
Business strategy (the one human skill)
Data ethics and compliance
Why Even These Are Risky
When supply of “AI-skilled data professionals” exceeds demand, your certification becomes valueless.
Companies consolidate roles. The AI data specialist today becomes the generic “tech worker” you’re competing with soon.
Every company trains their existing staff on AI. You’re competing with experienced professionals, not fresh graduates.
Facts About Data Jobs That Nobody Discusses
Data analyst salaries have been stagnant for 3 years while other tech roles grew
Many companies are laying off data teams RIGHT NOW in 2025
Senior data scientists are struggling to find roles
Data bootcamp graduates face 6+ month job searches
Companies prefer hiring 1 AI-expert over 10 traditional analysts
What You Should Do Immediately
If you’re pursuing data science: STOP. Pivot to AI/ML engineering instead.
If you’re a junior data analyst: Start learning AI oversight and governance NOW.
If you’re a senior data analyst: Transition to data engineering or AI operations before your skill set expires.
Don’t waste 2+ years learning traditional data analysis.
Instead: Learn how to work WITH AI systems, not replace AI systems.
Consider switching to business intelligence mixed with AI.
Build your personal brand in AI-driven analytics.
Start your own analytics consulting before corporate roles vanish.
The Reality Check
Data analysis was supposed to be a safe, growing field for the next 20 years. AI compressed that timeline into 12 months. The companies hiring data analysts aggressively in 2023-2024 are NOW reducing those teams in 2025.
Universities are still teaching Excel and SQL like it’s 2015. Your college placement cell has no idea the market has already shifted. By the time you graduate, your skills are already obsolete.
Freshly graduated data analysts in 2025 will face the harshest job market in the field’s history. Companies don’t need 50 people manually analyzing data anymore. They need 2 people managing AI systems.
The Question
What’s your plan? Keep learning traditional data analysis and hope the AI revolution slows down? Or start pivoting to AI-integrated roles before the market does it for you?
Choose wisely. In 2026, “data analyst” positions you see today might not exist.