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REQUIREMENT_ID_1364 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company NTT DATA
Type
Opportunity Type Internship
Salary
Stipend / Salary 3 - 6 LPA
Location
Location Remote, Karnataka, India
Posted Date
Posted Date Sep 26, 2026
SQL Excel Data Visualization Data Profiling Statistical Analysis Problem Solving Communication Attention to Detail
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the online assessment at NTT DATA.
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Technical Interview Preparation Guide Open Resource β†—
Covers common data‑analytics interview topics such as SQL queries, data profiling and KPI concepts useful for NTT DATA interviews.
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Comprehensive Interview Resources Open Resource β†—
Offers curated notes, mock interviews and interview experiences that can boost confidence for NTT DATA selection rounds.
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Coding Practice Problems Open Resource β†—
Provides a wide range of algorithmic problems to improve problem‑solving speed, beneficial for technical assessments at NTT DATA.

Graduates with B.E/B.Tech/B.Sc/M.E/M.Tech/M.Sc/MCA from any stream; minimum 60% aggregate (or CGPA 6.0/10); batch year 2022‑2026; no active backlogs at the time of joining; strong interest in data analysis and problem solving.

1
Round 1: Online Aptitude & Logical Reasoning Test
2
Round 2: Technical Interview (SQL & Data Analytics)
3
Round 3: HR Interview (fit & cultural alignment)
NTT DATA is a global business and technology services powerhouse with a presence in more than 70 countries. In India, the company is known for delivering end‑to‑end solutions across data, cloud, AI, cybersecurity and digital infrastructure. Its culture blends a strong focus on innovation with a commitment to employee growth, offering a collaborative environment where fresh ideas are encouraged and technical excellence is rewarded. With a diverse client portfolio ranging from banking to healthcare, NTT DATA provides its workforce exposure to cutting‑edge projects that shape industry standards. The Data Analyst role at NTT DATA is a remote, full‑time position designed for both freshers and experienced professionals. The analyst will be responsible for turning raw source data into actionable business insights, with a special focus on profiling data, analyzing Chemille usage and performance, and identifying trends and data‑quality issues. The role also supports KPI definition and validation, ensuring that the metrics used by the business are accurate and reliable. Candidates will work closely with cross‑functional teams, translating complex data findings into clear recommendations that drive strategic decisions. **Key Responsibilities** 1. Explore and profile source data to understand structure, completeness and consistency. 2. Analyze Chemille usage and performance metrics. 3. Identify trends, patterns and anomalies across datasets. 4. Detect and document data‑quality issues such as missing values, duplicates and invalid records. 5. Support the definition, calculation and validation of key performance indicators (KPIs). 6. Develop business insights and present findings through dashboards and reports. 7. Validate insights with relevant data sources to ensure accuracy. 8. Collaborate with product, engineering and business teams to align data initiatives with organizational goals. 9. Create documentation of data pipelines, analysis methodology and business logic. 10. Continuously improve data‑analysis processes and recommend automation where possible. **Tech Stack**: SQL, Excel, Power BI/Tableau, Python (pandas, numpy), data‑profiling tools, basic statistical concepts. **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, Data Scientist, Analytics Lead or Product Analyst roles, with opportunities to specialize in AI/ML, data engineering or business intelligence. **Why Join NTT DATA?** The company offers a best‑in‑industry compensation package, exposure to global projects, a strong learning culture with internal training programs, and a flexible remote work model that supports work‑life balance. Employees benefit from mentorship, clear career ladders and a supportive environment that values diversity and continuous improvement.

NTT DATA 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 🎯
NTT DATA Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for NTT DATA 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, Data Visualization, Data Profiling, Statistical Analysis, Problem Solving, Communication, Attention to Detail) & 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
NTT DATA 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 NTT DATA as a Data Analyst?
Preparation Tip: Highlight NTT DATA'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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