Roadmap to 22LPA+ Data Analyst Role
What you'll learn
Understand what Data Analysts are expected to do in 2026 and how the role is evolving
Learn the skills and competencies employers look for in modern Data Analysts
Understand the career progression from Fresher to Mid-Level, Senior, and Leadership roles
Learn how to move from executing defined tasks to owning metrics and solving ambiguous business problems
Understand the importance of SQL, Excel, Power BI, Python, statistics, and AI in a modern analytics career
Learn how to build a strong data analytics portfolio and demonstrate your skills to employers
Why this topic matters
Data Analyst roles are changing quickly, and knowing a few tools is no longer enough to stand out. This session helps you understand what employers expect from analysts today, how the role progresses as you gain experience, and which skills matter beyond SQL, Excel, BI, and Python.
It also shows you how to build a stronger portfolio, communicate measurable business impact, prepare for interviews and case studies, and move from simply executing analysis to solving ambiguous business problems and owning metrics.
You'll learn from
Product leader with experience across product management, product analytics, AI-powered products, and data-driven decision-making. He has worked on enterprise SaaS products and brings hands-on experience in analytics, product strategy, and cross-functional product development.