Eligibility:

Data Analyst:

Required Skills & Qualifications

For Experienced Candidates (1–2 years):

• 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)

For Freshers (Master’s in Data Science – 0 years):

• 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

Preferred Skills

• 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

We welcome:

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

Behavioral Competencies

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

Key Responsibilities

• 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)

What We Offer

• 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

Job Summary: 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.

How to Apply for Philips Recruitment 2026?

Interested and eligible candidates can apply for this position online on or before 10 June 2026, following the link below.