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REQUIREMENT_ID_1354 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company Cognant
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 4-6 LPA
Location
Location Pune, Maharashtra
Posted Date
Posted Date Sep 26, 2026
SQL Excel Tableau Power BI Python Data Visualization Analytical Thinking Communication
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills required for the online test.
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Cognizant Recruitment Process Insights Open Resource β†—
Provides a detailed overview of Cognizant's interview stages and candidate experiences.
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Data Analyst Interview Guide Open Resource β†—
Covers common data‑analyst questions, case studies, and preparation tips specific to Cognizant.
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Algorithm Practice Problems Open Resource β†—
Offers a wide range of coding problems to improve problem‑solving speed for technical rounds.

Graduates with a B.Tech/B.E., B.Sc., B.Com or equivalent degree in Computer Science, Information Technology, Electronics, Statistics, Mathematics, Economics or related streams. Minimum aggregate of 60% (or CGPA 6.0/10). Final year students of 2024‑2026 batches are eligible. No active backlogs at the time of joining. Strong analytical mindset and willingness to learn are essential.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (SQL & Data Visualization)
3
Round 3: HR Interview
Cognizant is a global professional services company that helps clients transform their business, operating, and technology models for the digital era. With a presence in over 40 countries and a workforce of more than 300,000 professionals, Cognizant has built a reputation for delivering innovative solutions across industries such as banking, healthcare, retail, and manufacturing. The company’s Indian operations, headquartered in Chennai, serve as a major delivery hub, offering a vibrant ecosystem for fresh talent to work on cutting‑edge projects for Fortune 500 clients. As a Data Analyst at Cognizant’s Pune office, you will be part of a collaborative analytics team that turns raw data into actionable business insights. The role is ideal for recent graduates who have a strong foundation in data manipulation, visualization, and storytelling. You will work closely with business stakeholders, product managers, and senior analysts to understand data requirements, build dashboards, and provide recommendations that drive strategic decisions. Key Responsibilities: 1. Design, develop, and maintain interactive dashboards and standard reports using tools such as Tableau, Powerβ€―BI, or Cognos. 2. Write efficient SQL queries to extract, cleanse, and transform data from relational databases. 3. Analyse large datasets to identify trends, anomalies, and opportunities for process improvement. 4. Translate complex analytical findings into clear, concise visual narratives for non‑technical audiences. 5. Partner with cross‑functional teams to gather data requirements and ensure timely delivery of insights. 6. Perform data quality checks and implement validation rules to maintain accuracy. 7. Document analytical processes, data dictionaries, and report specifications for future reference. 8. Incorporate feedback from stakeholders to continuously enhance reporting solutions. 9. Stay updated with emerging analytics tools and best practices to drive innovation. 10. Communicate progress and results effectively through meetings and written updates. Tech Stack: SQL, Python/R (basic scripting), Excel, Tableau/Powerβ€―BI, Git (for version control), and cloud data platforms (AWS/Azure) as exposure. Growth Path: Starting as an Analyst, you can progress to Senior Analyst, Analytics Consultant, and eventually to Manager or Lead roles, with opportunities to specialise in data engineering, machine learning, or business intelligence strategy. Why Join Cognizant? The company offers a structured learning environment, mentorship programs, and access to a global network of experts. Freshers benefit from on‑the‑job training, certifications, and exposure to real‑world projects that accelerate career growth. Moreover, Cognizant’s emphasis on work‑life balance, diversity, and employee well‑being makes it an attractive place for young professionals eager to make an impact in the data domain.

Cognant β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Cognant Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Cognant and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (SQL, Excel, Tableau, Power BI, Python, Data Visualization, Analytical Thinking, Communication) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Cognant Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Cognant as a Data Analyst?
Preparation Tip: Highlight Cognant's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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