Cognizant has announced an opening for the Data Analyst position in Chennai, Tamil Nadu, India. The role falls under the Technology & Engineering category and follows a hybrid work model. Candidates with expertise in Python, data analytics, Generative AI, Large Language Models (LLMs), LangChain, LangGraph, and Model Context Protocol (MCP) may find this opportunity relevant.
The position focuses on building data pipelines, developing AI-powered analytical workflows, improving data quality, and delivering insights to support business decision-making.
Important: Although the initial job information mentions freshers and experienced candidates, the detailed qualifications specify at least 12 years of progressive data analytics experience. Candidates should review the official listing carefully before applying.
Cognizant Data Analyst Job Details 2026
| Job Details | Information |
|---|---|
| Company Name | Cognizant |
| Job Role | Data Analyst |
| Job ID | 00070260513 |
| Job Category | Technology & Engineering |
| Qualification | Not explicitly specified in the supplied description |
| Experience | 12+ years specified in detailed qualifications |
| Job Location | Chennai, Tamil Nadu, India |
| Work Model | Hybrid |
| Shift | Day Shift |
| Key Technologies | Python, Generative AI, LLMs, MCP, LangChain, LangGraph |
| Salary | Not disclosed |
| Date Published | 16 October 2026 |
About Cognizant
Cognizant is a technology services provider that helps businesses modernize their operations and use technology to improve business outcomes. The company works across technology, engineering, data, and AI-related services to support organizations in a changing digital environment.
Cognizant Data Analyst Job Description
The Data Analyst will develop end-to-end analytical solutions using Python, build and maintain reliable data pipelines, and implement Generative AI workflows for tasks such as text analysis, summarization, and knowledge extraction.
The role also involves integrating language models with internal data sources and tools, designing graph-based workflows, maintaining data quality, and communicating analytical findings to stakeholders.
Roles and Responsibilities
Candidates selected for this position may be responsible for the following activities, as outlined in the job description:
- Collect, clean, structure, and analyze complex enterprise datasets using Python.
- Build reusable Python components and scalable data pipelines.
- Develop Generative AI workflows for text analysis, summarization, and knowledge extraction.
- Implement Model Context Protocol integrations to manage prompts, context, and tool connections.
- Build and maintain LangGraph workflows for multistep analytical processes.
- Use LangChain to connect language models with data sources, retrieval components, and custom tools.
- Identify trends, anomalies, and opportunities in structured and unstructured datasets.
- Collaborate with product, engineering, and business operations teams.
- Establish data quality checks, performance metrics, and documentation practices.
- Monitor deployed AI workflows and improve accuracy, latency, and operational efficiency.
- Present analytical findings through clear reports and visual summaries.
- Support responsible AI adoption and alignment with organizational standards.
Eligibility Criteria
Candidates should review these requirements before applying:
- Experience: The detailed qualifications require at least 12 years of progressive data analytics experience.
- Python: Advanced proficiency in Python programming.
- Data Analytics: Experience with data manipulation libraries, testing frameworks, and performance optimization.
- Generative AI: Understanding of LLM fundamentals, tokenization, context management, evaluation, and safety considerations.
- MCP: Practical knowledge of Model Context Protocol integrations.
- LangGraph: Hands-on experience designing and maintaining graph-based workflows.
- LangChain: Experience integrating language models with data sources, retrieval components, and tools.
- Communication: Strong documentation and stakeholder communication skills.
The supplied description does not specify a particular bachelor’s or master’s degree requirement.
Technical Skills Required
1. Python Programming
Candidates should have advanced Python skills for data processing, analytics, testing, pipeline development, and performance optimization.
2. Generative AI and LLMs
Knowledge of large language models, prompt design, context management, model evaluation, and responsible AI practices is relevant to this role.
3. LangChain
LangChain is used to connect language models with data sources, retrieval systems, and custom tools to support analytical and question-answering workflows.
4. LangGraph
LangGraph supports the development of structured, multistep workflows involving models, tools, and decision points.
5. Model Context Protocol (MCP)
Practical knowledge of MCP is listed for integrations that connect AI systems with tools and contextual information.
6. Data Quality and Documentation
Candidates should understand data validation, performance measurement, documentation, and maintaining reliable analytical outputs.
Preferred Certifications
The job description identifies the following as preferred qualifications:
- Microsoft Certified Azure Data Scientist Associate.
- Similar industry-recognized data analytics or AI certifications.
These are preferred certifications rather than stated mandatory requirements.
Work Location and Work Model
Location: Chennai, Tamil Nadu, India
Work Model: Hybrid
Shift: Day shift
Candidates should check the official listing for the latest employment details and any additional requirements.
Cognizant Data Analyst Salary
The supplied job description does not specify the salary or compensation range for this position. Candidates should refer to the official careers portal or the recruitment team for compensation details.
Selection Process
The supplied job description does not provide a complete selection process. Candidates should monitor the official Cognizant careers portal for information about assessments, interviews, and further recruitment steps.
How to Apply for Cognizant Data Analyst Recruitment 2026
Follow these steps to apply:
- Visit the official Cognizant careers website using the link below.
- Search for job ID 00070260513 if needed.
- Review the detailed eligibility criteria, especially the experience requirement.
- Prepare an updated resume highlighting Python, data analytics, Generative AI, LLMs, and relevant project experience.
- Submit your application through the official portal if you meet the requirements.
Apply Now: Click here to apply on Cognizant Careers
Frequently Asked Questions (FAQs)
1. What is the job role at Cognizant?
The position is Data Analyst under the Technology & Engineering category.
2. Where is the job located?
The position is listed in Chennai, Tamil Nadu, India, with a hybrid work model.
3. Which technologies are required?
The detailed qualifications mention Python, Generative AI, LLMs, MCP, LangChain, and LangGraph.
4. Can freshers apply for this position?
The introductory information mentions freshers and experienced candidates, but the detailed qualifications require at least 12 years of progressive data analytics experience. Candidates should verify their eligibility against the official listing.
5. What is the salary for this job?
The supplied job description does not disclose the salary.
6. Which certifications are preferred?
Microsoft Certified Azure Data Scientist Associate or similar recognized data analytics and AI certifications are preferred.
7. What is the job ID?
The job ID is 00070260513.
Conclusion
The Cognizant Data Analyst opening is focused on advanced Python analytics and Generative AI solutions. Candidates with substantial data analytics experience and practical knowledge of LLMs, LangChain, LangGraph, and MCP should review the official job requirements before applying.
SEO Details
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