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REQUIREMENT_ID_1758 β€’ 3-DAY_ACTIVE_POLICY

Analyst L1 – Business Analyst / Data Analyst

Company
Company Wipro
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή3–8 LPA
Location
Location Chennai, Tamil Nadu, India
Posted Date
Posted Date Today
Analytical reasoning Logical reasoning Microsoft Excel SQL fundamentals Data interpretation Attention to detail Problem solving Written communication Verbal communication Teamwork Power BI Tableau Python fundamentals Basic statistics
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Wipro Placement Papers Open Resource β†—
Provides sample questions and past papers to help candidates prepare for Wipro’s technical and behavioral interviews.
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Wipro Recruitment Process Insights Open Resource β†—
Offers detailed walkthroughs of Wipro’s hiring stages, interview formats, and tips for success.
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Wipro Interview Preparation Guide Open Resource β†—
Compiles interview questions, case studies, and best practices for Wipro job seekers.
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Coding Practice Problems Open Resource β†—
A collection of coding challenges to sharpen problem‑solving skills for Wipro technical interviews.

Bachelor’s degree in any discipline (Computer Science, Information Technology, Statistics, Business, Engineering, etc.) with a minimum of 60% marks or equivalent. Freshers and early‑career candidates (0–2 years experience) are eligible. Candidates must meet Wipro’s backlog policy and be willing to relocate to Chennai if required. Strong analytical and communication skills are essential.

1
Round 1: Technical – SQL & basic coding questions
2
Round 2: Technical – case study, business scenario, and behavioral questions
3
Round 3: HR – cultural fit and final interview
Wipro is a global technology services and consulting powerhouse headquartered in India, with a presence in over 50 countries. The company offers end‑to‑end solutions in IT services, digital transformation, engineering, and business process outsourcing. With a workforce of more than 200,000 employees, Wipro is known for its commitment to innovation, sustainability, and inclusive growth. The organization invests heavily in research and development, enabling it to stay ahead in emerging domains such as artificial intelligence, cloud, and cybersecurity. The Analyst L1 – Business Analyst / Data Analyst role is designed for freshers and early‑career professionals who are passionate about turning data into actionable insights. As an Analyst L1, you will work closely with cross‑functional teams to gather business requirements, cleanse and validate data, and create reports and dashboards that drive decision‑making. You will be the first line of support for operational reporting and KPI tracking, ensuring data integrity and timely delivery of insights to stakeholders. Key Responsibilities: 1. Collect, clean, validate, and analyze business data from multiple sources. 2. Prepare detailed reports, dashboards, and presentations for stakeholders. 3. Identify trends, patterns, and opportunities for process improvement. 4. Assist in gathering and documenting business requirements. 5. Support business process analysis and operational reporting. 6. Work with cross‑functional teams to understand business needs. 7. Perform data quality checks and resolve inconsistencies. 8. Track key performance indicators (KPIs) and report on performance. 9. Document findings and communicate actionable insights. 10. Follow company procedures and data confidentiality standards. Tech Stack & Tools: Microsoft Excel, SQL, Power BI/Tableau (preferred), Python fundamentals, basic statistics. Growth Path: Starting as an Analyst L1, you can progress to Senior Analyst, Business Analyst, Data Analyst, or specialized roles such as Data Engineer or Business Intelligence Lead. Wipro’s structured learning programs, mentorship, and global project exposure accelerate career growth. Why Join Wipro? The company offers competitive compensation, comprehensive benefits, and a culture that encourages continuous learning. Employees enjoy a healthy work‑life balance, flexible work arrangements, and opportunities to work on cutting‑edge technologies across diverse industries. Wipro’s global footprint provides exposure to international clients and projects, making it an ideal platform for ambitious professionals. Overall, this role is an excellent launchpad for a career in business analysis and data analytics, combining hands‑on experience with a supportive learning environment.

Wipro 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 🎯
Wipro Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Wipro 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 (Analytical reasoning, Logical reasoning, Microsoft Excel, SQL fundamentals, Data interpretation, Attention to detail, Problem solving, Written communication, Verbal communication, Teamwork, Power BI, Tableau, Python fundamentals, Basic statistics) & 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
Wipro 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 Wipro as a Analyst L1 – Business Analyst / Data Analyst?
Preparation Tip: Highlight Wipro's market reputation, recent tech innovations, and how your skills in Analytical reasoning 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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