Cognizant Hiring Data Analyst 2026

Job Overview

Cognizant (Nasdaq: CTSH) is a global leader in business and technology services, helping modern enterprises modernize technology, reimagine processes, and transform experiences to stay ahead in a fast-changing world.

The Data Analyst position in Bangalore offers early-career professionals an opportunity to work on large-scale enterprise analytics projects. Analysts collaborate directly with global solution architects, transforming massive unstructured datasets into actionable business intelligence.

Joining Cognizant provides candidates with structured mentorship, real-world project ownership, and exposure to enterprise-grade technologies that accelerate long-term career growth.

Job Details

DetailInformation
CompanyCognizant
PositionData Analyst
Job ID / Requisition00069824501
LocationBangalore, Karnataka, India
Experience Required0–2 Years (Freshers & early-career analytics professionals eligible)
Educational QualificationBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or related quantitative field
Work ModeHybrid / In-Office
Employment TypeFull-Time / Regular

Eligibility Criteria

Applicants must meet the following qualification requirements:

  • Academic Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or related quantitative field.
  • Experience Level: 0–2 Years (Freshers & early-career analytics professionals eligible).
  • Target Profile: Candidates with a strong foundational grasp of core technical concepts, effective analytical thinking, and a collaborative mindset.

Required Skills & Competencies

  • Advanced SQL & Query Optimization: Extracting, transforming, and validating large datasets using complex SQL queries, JOINs, CTEs, subqueries, and window functions.
  • Business Intelligence & Visualization (Power BI / Tableau): Developing interactive executive dashboards, KPI scorecards, and dimensional data models (star schemas).
  • Python for Data Analysis: Writing automated Python scripts using Pandas, NumPy, and data manipulation libraries for statistical modeling and ETL pipelines.
  • Data Quality, Integrity & Root Cause Analysis: Conducting data profiling, identifying anomalies, resolving data integrity issues, and maintaining accurate project documentation.

Job Responsibilities

  • Collect, clean, transform, and analyze complex enterprise datasets to identify business trends and actionable operational insights.
  • Design, build, and maintain interactive Power BI and Tableau dashboards to support strategic leadership decision-making.
  • Write optimized SQL queries and Python scripts to streamline automated ETL data pipelines and reporting workflows.
  • Collaborate with cross-functional engineering teams, data architects, and business stakeholders in an Agile development environment.

Salary & Compensation

  • Compensation Structure: Best in Industry / Competitive Cognizant analytics & engineering package (₹4.5–7.5 LPA range).
  • Additional Benefits: Comprehensive employee wellness support, mentorship programs, performance recognition, and professional learning resources where applicable.

Selection Process

The hiring process generally comprises the following evaluation stages:

  1. Application & Resume Screening: Initial profile evaluation against role criteria.
  2. Technical Assessment / Online Test: Evaluation of core domain skills, coding aptitude, or analytical reasoning.
  3. Technical Interview Rounds: In-depth discussion covering project experience, problem-solving, and technical depth.
  4. HR & Managerial Discussion: Cultural fitment, role expectations, and offer rollout.

Important Dates

  • Application Status: Active and accepting online applications.
  • Application Deadline: Active open vacancy (Candidates are advised to apply early as openings may close upon reaching target applicant volume).

How to Apply

  1. Click on the official application link provided below.
  2. Read the comprehensive job description, responsibilities, and eligibility standards on the portal.
  3. Prepare an updated resume highlighting relevant projects, technical skills, and certifications.
  4. Click on the Apply / Register button and fill in personal, academic, and professional details.
  5. Upload your resume and submit your application before the window closes.

Official Application Link

Apply directly on the employer’s official careers portal:

Frequently Asked Questions (FAQ)

Q1: Can freshers apply for this role?
Yes, graduates and freshers with strong project experience or coursework in SQL, Python, and Power BI are eligible.

Q2: What is the work model for this position?
The position operates under a Hybrid / In-Office model in Bangalore, Karnataka.

Q3: Are there any fees for applying to this position?
No. Cognizant does not charge any application or recruitment fee. Never pay money to any third party for job offers.

Disclaimer

PlacedInAI is an informational career platform providing verified job updates. We are not directly affiliated with the employer. Candidates must review and verify all details on the official employer website before applying.

6 thoughts on “Cognizant Hiring Data Analyst 2026

  1. Thank you for sharing this opportunity. As an aspiring Data Analyst, I’m excited to explore this role and apply my skills in SQL, Python, and Power BI to contribute to Cognizant’s data-driven projects.

  2. Interested !
    This opportunity aligns well with my background in SQL, Python, Power BI, and Advanced Excel. I’ve worked on building KPI dashboards, optimizing SQL queries, and analyzing large datasets to generate business insights. Excited to connect with the Cognizant hiring team and contribute to impactful analytics projects in Bangalore.

  3. Hello, I am interested in the Data Analyst opportunity. I am a recent engineering graduate with hands-on experience in SQL, Python, Power BI, Excel, and data analytics projects. I would be grateful for an opportunity to be considered for the role.
    Thank you.

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