Senior Analyst – Data & Analytics

jj; Pune District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Johnson & Johnson is seeking a Sr Analyst – Data & Analytics in Pune to design and implement scalable data platforms with AI readiness. You will lead data engineering tasks, build pipelines, and collaborate with cross-functional teams to deliver insights across the data lifecycle.

The role emphasizes hands-on data engineering, AI readiness, and governance, with opportunities to work on cutting-edge Azure AI services and GenAI workflows.

Qualifications

• 5–7 years of experience in data engineering and building scalable data pipelines.
• Strong SQL proficiency and data modeling.
• Experience with large-scale data lakes and data warehousing.
• Proficiency in Python or similar language for data processing.
• Experience with ETL/ELT, metadata management, and data quality.
• Knowledge of REST APIs and cloud-based services integration.
• Foundational understanding of ML/Generative AI concepts including embeddings and RAG.

Responsibilities

• Develop and automate high-performance data processing systems to drive insights.
• Translate business requirements into scalable technical solutions with end-to-end ownership.
• Promote best practices for data infrastructure and pipeline development.
• Build reliable, testable, and maintainable data pipelines.
• Design data pipelines using ETL/ELT and open-source frameworks.
• Provide production support and troubleshoot critical incidents.
• Collaborate with cross-functional teams to enable data-driven insights.

Skills

SQL

Python

ETL/ELT

Data Pipelines

REST APIs

Cloud services

Machine Learning basics

RAG concepts

Data Quality

Troubleshooting pipelines

Education

BE - Computer Science

Tools

Azure OpenAI Service

Azure Databricks

Azure AI Search

AWS S3/Redshift

Semantic Kernel

LangChain

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Business Intelligence

Job Category:

Professional

All Job Posting Locations:

Pune, Maharashtra, India

Job Description:

Job Description: Sr Analyst – Data & Analytics

Data Engineering with Applied AI | 5–7 Years of Experience

Role Overview

We are seeking a Data Engineer with 5–7 years of experience in building scalable data platforms and preliminary hands-on exposure to AI solutions.

Key Responsibilities

• Develop and automate high-performance data processing systems to drive business growth and improve product experience.
• Translate business requirements into technical solutions with end-to-end ownership.
• Promote high-quality software engineering practices for building data infrastructure and pipelines at scale.
• Build reliable, efficient, testable, and maintainable data pipelines.
• Design and develop data pipelines using metadata-driven ETL tools and open-source data processing frameworks.
• Provide production support, resolve high-priority incidents, and troubleshoot development and coding issues.
• Work with cross-functional teams to enable insights across the data lifecycle.

AI Responsibilities

• Support data pipelines and data preparation for AI and Generative AI applications.
• Build and maintain integrations with Azure OpenAI and other Azure AI services.
• Develop and support RAG (Retrieval-Augmented Generation) workflows, including document ingestion, embeddings, and search indexing.
• Collaborate with business and technical teams to implement AI-enabled solutions and enterprise copilots.
• Ensure AI solutions adhere to data governance, security, privacy, and Responsible AI standards.

Minimum Qualifications

• 5–7 years of experience in data engineering, including SQL-based design and development of scalable, robust data pipelines.
• Experience with large-scale data lake and data engineering projects.
• Proficiency in advanced SQL and SQL performance tuning.
• Strong experience in Python or another programming language used to process large datasets.
• Experience with ETL/ELT, data modeling, STAR schemas, metadata management, data quality, and production support.
• Working knowledge of REST APIs, JSON, authentication patterns, and integration of cloud-based services.
• Foundational understanding of machine learning and Generative AI concepts, including large language models, embeddings, vector search, prompt engineering, and RAG.
• Ability to troubleshoot end-to-end data and AI pipelines and work with users to resolve issues.

Preferred Qualifications

• BE- Computer Science with healthcare exposure.
• Experience with AWS data technologies such as Amazon S3 or Amazon Redshift is beneficial where relevant to the existing data landscape.
• Basic understanding of LLMs, Prompt Engineering, Embeddings, Vector Search, and RAG concepts.
• Exposure to Azure OpenAI Service, Azure AI Search, Azure Databricks, or Azure Machine Learning.
• Experience working on chatbot, copilot, or AI assistant solutions is preferred.
• Familiarity with frameworks such as Semantic Kernel, LangChain, or similar orchestration tools.

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis