Chennai/Banagalore

We are seeking a motivated Data Analyst with 0–2 years of experience (or fresh graduates with a Master’s in Data Science) to join our growing analytics team. This role focuses on building scalable data pipelines, enabling advanced analytics using Power BI, and leveraging Azure Data platforms, GENIE-based data exploration, and emerging Agentic AI capabilities.

This is a great opportunity to work at the intersection of data engineering, analytics, and AI-driven automation in an enterprise environment.

• Design, build, and maintain data pipelines using Azure Data services (Azure Data Lake, Azure ML Workbench)
• Implement and manage Change Data Capture (CDC) pipelines for incremental and near real-time data refresh
• Work with Azure Data Lake GENIE / conversational data exploration tools for advanced data querying and insights
• Develop interactive dashboards and reports using Power BI
• Enable AI-assisted analytics workflows using Agentic AI concepts (automation, orchestration, insight generation)
• Ingest, transform, and validate structured and unstructured data
• Ensure data quality, governance, and consistency across datasets
• Collaborate with cross-functional teams (data engineers, AI teams, business stakeholders)

• Hands-on experience with:
  • Azure Data Lake / Azure Data Platform
  • Power BI (DAX, Data Modeling, Visualization)
  • Data pipeline development (ETL/ELT)
• Experience in:
  • Change Data Capture (CDC) pipelines
  • Azure Data Lake GENIE / intelligent query or data exploration tools (preferred)
• Basic exposure to:
  • Agentic AI / AI-assisted analytics / workflow automation
• Strong SQL skills and understanding of data modeling
• Programming knowledge (Python preferred)

• Master’s degree in:
  • Data Science / Analytics / Computer Science / related field
• Strong academic/project exposure to:
  • Data analytics, visualization, and dashboards
  • Power BI / Tableau
  • SQL and Python
• Exposure (projects/internships) to:
  • Azure Data platforms
  • AI/ML or Agentic AI concepts (preferred)
  • Data pipelines or CDC concepts (preferred)
• Familiarity with conversational analytics tools (GENIE-like platforms) is a plus

• Experience with Azure Data Factory / Synapse Analytics
• Exposure to GENIE or LLM-powered data interaction tools
• Understanding of Agentic AI frameworks / multi-agent workflows
• Knowledge of data governance, security, and compliance
• Familiarity with Git and Agile methodologies

• Strong analytical and problem-solving mindset
• Curiosity to explore AI-driven data solutions
• Effective communication and stakeholder collaboration skills
• Adaptability and continuous learning orientation

• Work on next-gen data + AI platforms (Azure + Agentic AI)
• Exposure to enterprise analytics and intelligent data systems
• Opportunity to build skills in GENIE-driven data exploration and AI automation
• High-growth environment with innovation focus

We welcome:

• 1–2 years experienced professionals
• Freshers with strong academic + project experience in data science and AI

#AI#HealthcareInformatics #LI
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.