🏢 Cognizant
Data Analyst
💼 Fulltime
📍 Bengaluru, Karnataka
🛠 Skills Required
SQL
Python
Excel
Tableau
Power BI
Statistics
Data Visualization
Problem Solving
Communication
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Don't miss this opportunity!
Apply before 10 Nov 2026 — only 18 days left
Creator Pick · Promoted by Creator
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📚 Free Study Materials (4)
Aptitude Practice Questions
Comprehensive set of quantitative and logical reasoning problems to sharpen the aptitude skills required for Cognizant's online test.
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Recruitment Process Insights
Detailed walkthrough of Cognizant's recruitment stages, helping candidates prepare for each round effectively.
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Interview Preparation Guide
Curated resources and tips specifically for Cognizant interviews, covering technical and HR aspects.
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Coding Practice Problems
A wide variety of algorithmic challenges to improve coding proficiency for technical interviews.
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🎯
Don't miss this opportunity!
Apply before 10 Nov 2026 — only 18 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL & Data Analytics) → Round 3: HR Interview
🏢 Work Culture
Cognant's work culture emphasizes continuous learning, collaborative teamwork, and a balanced approach to work‑life integration. Employees enjoy access to extensive training resources, clear career ladders, and opportunities to work on diverse, high‑impact projects across industries.
🎤 Interview Experience
Cognizant's interview process typically starts with a timed online aptitude test focusing on quantitative, logical, and verbal reasoning. Shortlisted candidates then face a technical interview that assesses SQL querying, data manipulation, and basic statistical concepts, often followed by a case‑study discussion. The final HR round evaluates communication skills, cultural fit, and motivation. Overall difficulty is moderate, and thorough preparation of core analytics concepts and problem‑solving techniques greatly improves success chances.
✅ Eligibility Criteria
Graduates (B.Tech/B.E., B.Sc., B.Com, MCA, or equivalent) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Final year students can also apply. No active backlogs allowed at the time of joining. Candidates graduating in 2025, 2026 or 2027 are eligible.
📋 About the Role
Cognizant Technology Solutions is a global leader in consulting, digital, technology and operations services. With a presence in over 40 countries and a workforce of more than 300,000 professionals, Cognizant helps clients transform their businesses through innovative solutions and cutting‑edge technologies. The company is known for its strong focus on continuous learning, employee empowerment, and a culture that encourages collaboration across geographies. Over the years, Cognizant has built a reputation for delivering high‑impact projects in domains such as banking, healthcare, retail, and manufacturing, making it an attractive destination for fresh talent looking to start a career in data‑driven decision making.
The Data Analyst role at Cognizant is designed for recent graduates who are passionate about turning raw data into actionable insights. As a Data Analyst, you will work closely with senior analysts, business stakeholders, and technology teams to understand business problems, extract and clean data, perform exploratory analysis, and present findings that drive strategic decisions. This position offers exposure to a variety of industries and the opportunity to work on real‑world projects that have a measurable impact on client outcomes.
Key Responsibilities:
1. Collect, clean, and validate large datasets from multiple sources.
2. Perform exploratory data analysis to identify trends, patterns, and anomalies.
3. Develop and maintain dashboards and visualizations using tools such as Tableau or Power BI.
4. Write complex SQL queries to retrieve and manipulate data.
5. Conduct statistical analysis and predictive modeling using Python or R.
6. Translate business requirements into technical specifications and analytical solutions.
7. Prepare detailed reports and presentations for both technical and non‑technical audiences.
8. Collaborate with cross‑functional teams to ensure data quality and consistency.
9. Automate repetitive data processing tasks using scripting languages.
10. Stay updated with emerging data technologies and best practices.
Tech Stack: SQL, Python (pandas, numpy, matplotlib), R, Tableau, Power BI, Excel, Git, JIRA.
Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Data Scientist, Analytics Manager, and eventually to leadership roles such as Head of Analytics or Director of Data Strategy. Cognizant provides structured learning programs, certifications, and mentorship to accelerate career growth.
Why Join Cognizant? The company offers a vibrant work environment with a strong emphasis on learning and development, exposure to global clients, and a clear career progression roadmap. Freshers benefit from mentorship, hands‑on project experience, and the chance to work with cutting‑edge analytics tools, making Cognizant an ideal launchpad for a successful data career.
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📋 Quick Info
JOB ID
C2910-J021
POSTED
1h ago
TYPE
Fulltime
BATCH
All Batches
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