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Data Analyst

Philips -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
1 day ago

Qualifications

Power BI
Data modeling
Azure
Law
Git
Tableau
Master's degree
SQL
Analysis skills
ETL
Agile
Data science
AI
Communication skills
Python
Data Science
Analytics

Full job description

Job Title

Data Analyst

Job Description

Job Title: Data Analyst (0–2 Years Experience / Entry-Level)

Location

Chennai/Banagalore

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.

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)

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

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

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

Hiring Note

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 .

Apply Now

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