Role: Analyze complex datasets, build predictive models, and provide actionable insights.

Skills: Python/R, SQL, machine learning, data visualization, statistics.

Demand: High across tech, finance, healthcare, and e-commerce.

Average Salary (India): ₹8–15 LPA

Role: Collect, clean, and interpret data to support business decisions.

Skills: Excel, SQL, Tableau/Power BI, basic statistics.

Demand: High in all industries; entry-level roles are plentiful.

Average Salary (India): ₹4–8 LPA

Role: Design and implement ML algorithms and models for predictive systems.

Skills: Python, TensorFlow/PyTorch, ML algorithms, cloud platforms.

Demand: Very high in AI-driven companies and startups.

Average Salary (India): ₹10–20 LPA

Role: Build and maintain data pipelines, warehouses, and ETL processes.

Skills: SQL, Python, Hadoop/Spark, cloud platforms (AWS, Azure, GCP).

Demand: High due to increasing data volume in enterprises.

Average Salary (India): ₹8–15 LPA

Role: Work on neural networks, NLP, computer vision, and AI solutions.

Skills: Python, TensorFlow/PyTorch, NLP, computer vision, deep learning.

Demand: Rapidly growing in tech, healthcare, autonomous systems.

Average Salary (India): ₹12–25 LPA

Role: Create dashboards, reports, and visualizations to support business decisions.

Skills: SQL, Tableau/Power BI, data modeling, Excel.

Demand: Steady demand in finance, retail, and consulting.

Average Salary (India): ₹6–12 LPA

Role: Manage and optimize cloud-based data solutions.

Skills: AWS/GCP/Azure, BigQuery, data pipelines.

Demand: High due to migration to cloud platforms.

Average Salary (India): ₹10–18 LPA

💡 Key Trend:

AI and machine learning roles are seeing the fastest growth.

Hybrid roles combining business understanding and technical skills (like ML + domain knowledge) are most valuable.

Entry-level roles often start as data analysts before transitioning to advanced positions like data scientist or ML engineer.