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Cognizant Data Analyst 2026 | Python & GenAI (LangChain, MCP) | Chennai — Apply Now

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Quick answer: Cognizant Data Analyst 2026: Cognizant is hiring a Data Analyst (Job 00070260513) in Chennai on a hybrid, day-shift model, posted on 16 October 2026. The role combines Python data analytics with generative AI – building data pipelines, LLM workflows, LangGraph and LangChain agents and Model Context Protocol (MCP) integrations. Cognizant describes it as a role for an experienced analyst, so it suits early-career candidates with real Python and GenAI project work. Reported pay is about ₹4–10 LPA.

Cognizant Data Analyst 2026 — at a glance
Company
Cognizant
Role
Data Analyst
Job ID
00070260513
Location
Chennai (hybrid, day shift)
Category
Technology & Engineering
Key skills
Python, LLMs, MCP, LangGraph, LangChain, data pipelines
Experience
Not stated – listing says “experienced”
Posted
16 October 2026
Salary
Official: Not disclosed | Reported: about ₹4–10 LPA for early-career Cognizant data analysts (AmbitionBox)
Last date
Not mentioned – apply early

Not a pure fresher role: Cognizant describes this as a position for an experienced data analyst with deep Python and generative AI expertise, but does not state years. Freshers should apply only with strong, demonstrable LLM / LangChain project work.

Cognizant Data Analyst 2026 – Full Job Details

Cognizant Data Analyst 2026 is a Chennai-based analytics role with a strong GenAI focus. You will collect and clean complex enterprise data with Python, build reusable pipelines, and design generative AI workflows that automate text analysis, summarisation and knowledge extraction for business teams.

What makes the role different is the tooling: Cognizant specifically wants hands-on use of LangGraph for multi-step workflows, LangChain chains and agents connected to internal data, and Model Context Protocol (MCP) integrations to manage prompts, context and tools in an auditable way.

What you will do

  • Collect, clean and structure enterprise data with Python for reporting, forecasting and insights.
  • Design robust Python data pipelines and reusable code for ingestion, transformation and validation.
  • Build generative AI workflows using LLMs for text analysis, summarisation and knowledge extraction.
  • Develop MCP-based integrations that manage prompts, context windows and tool connections.
  • Build LangGraph workflows and LangChain chains/agents that securely connect models to internal data.
  • Analyse large structured and unstructured datasets, set up data quality checks and document solutions.

Who should apply for Cognizant Data Analyst 2026

  • Engineering or science graduates (CS, IT, data science or similar) with strong Python.
  • Working knowledge of LLMs, prompt design and responsible AI practices.
  • Hands-on projects with LangChain, LangGraph or agent frameworks; MCP exposure is a big plus.
  • SQL and data-wrangling skills, plus clear communication with business stakeholders.
  • Comfortable with a hybrid schedule in Chennai.

Cognizant Data Analyst 2026 salary

Cognizant does not publish pay on the listing. AmbitionBox data for Cognizant data and reporting analysts with 1–4 years of experience points to roughly ₹4–10 LPA, depending on experience and skills. Confirm the CTC with HR.

Cognizant Data Analyst 2026 selection process (expected)

  1. Resume shortlisting against Python and GenAI skills.
  2. Technical interview on Python, SQL and data analysis.
  3. GenAI deep-dive – LLM workflows, LangChain/LangGraph and a project walkthrough.
  4. HR discussion.

How to apply

  1. Click the button above to open Job 00070260513 on Cognizant Careers.
  2. Sign in or create a profile and upload your resume.
  3. Put your Python and GenAI projects (with GitHub links) at the top of the resume.
  4. Submit and watch your email for interview updates.

Preparation tips

Be ready to explain a LangChain or LangGraph project end to end – data sources, retrieval, prompts, tools and how you evaluated output quality. Revise pandas, SQL joins and window functions, and read up on Model Context Protocol basics if you have not used it yet.

More analytics roles: see Accenture Data Science Associate 2026 and HCLTech AI Analyst 2026, or browse Cognizant Careers.

Cognizant never charges candidates any fee during hiring.

Frequently asked questions

What is the Cognizant Data Analyst 2026 role?

A hybrid Data Analyst position in Chennai (Job 00070260513) focused on Python analytics and generative AI workflows using LLMs, LangChain, LangGraph and MCP.

Can freshers apply?

Cognizant describes the role as experienced but does not state years. Freshers should apply only with strong Python and GenAI project experience.

What skills are required?

Python, data pipelines, LLM fundamentals, LangGraph, LangChain and Model Context Protocol integrations, plus SQL and communication skills.

Where is the job located?

Chennai, on a hybrid day-shift model.

What is the salary?

Cognizant has not disclosed it. AmbitionBox shows about ₹4–10 LPA for early-career data analysts.


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