Data & AI Jobs

Types of jobs

The main kinds of work in Data & AI:

• Data Analyst

  Turns raw business data into clear insights — cleaning datasets, building dashboards and answering questions with SQL, spreadsheets and charts to guide decisions.

  Pay: Entry ₹15–28k/mo · Experienced ₹70k+/mo

• Data Engineer

  Builds and maintains the pipelines and warehouses that move data reliably at scale — designing ETL jobs, schemas and infrastructure that analysts and scientists depend on.

  Pay: Entry ₹22–38k/mo · Experienced ₹1.2L+/mo

• Data Scientist

  Applies statistics and machine learning to model complex problems — running experiments, building predictive models and translating findings into business impact.

  Pay: Entry ₹25–45k/mo · Experienced ₹1.5L+/mo

• AI / Machine Learning Engineer

  Designs, trains and deploys machine-learning and AI models into production — building scalable systems around neural networks, pipelines and inference services.

  Pay: Entry ₹25–45k/mo · Experienced ₹1.5L+/mo

• Business Intelligence Analyst

  Bridges data and business — building BI reports, dashboards and metrics that leaders trust, and turning numbers into clear recommendations for stakeholders.

  Pay: Entry ₹18–30k/mo · Experienced ₹80k+/mo

• Database Administrator

  Keeps databases fast, secure and always available — managing schemas, backups, performance tuning and access so critical data stays reliable and safe.

  Pay: Entry ₹18–30k/mo · Experienced ₹80k+/mo

Entry-level jobs

Good first jobs for freshers:

• Junior Data Analyst
• Reporting Analyst
• Junior Data Engineer
• ETL Developer
• Junior Data Scientist
• Analytics Scientist
• Junior ML Engineer
• AI Engineer
• Junior BI Analyst
• Junior DBA
• Database Support Engineer

Who it suits

• Any graduate; strong Excel/SQL. Analytics certificate helps.
• CS/IT degree or strong coding skills; SQL + Python essential.
• Degree in CS/stats/maths; strong Python + statistics.
• CS/AI degree or strong ML portfolio; deep Python + maths.

Popular skills

Skills employers in Data & AI commonly ask for:

• SQL
• Python
• Machine learning
• Statistics
• Deep learning
• Power BI
• Tableau
• NLP
• Backup & recovery
• Business analysis
• Data dashboards
• Data visualization
• Data warehousing
• Database administration
• ETL pipelines
• Excel
• Model deployment
• Performance tuning
• A/B testing
• Airflow
• AWS
• Cloud databases
• Computer vision
• Data modeling
• Data storytelling
• DAX
• Excel automation
• Experimentation
• Google Cloud (GCP)
• Kafka
• MLOps
• Oracle
• Pandas
• PostgreSQL
• PyTorch
• Replication
• Spark
• Storytelling
• TensorFlow

Live Data & AI jobs

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