Data Analyst

The NTT DATA interview process typically begins with a timed online aptitude test, followed by a technical interview focusing on SQL, data‑analysis concepts and case‑study discussions. The final HR round assesses cultural fit and communication skills. Overall difficulty is moderate, and thorough preparation on data fundamentals and problem‑solving can greatly improve performance.

NTT DATA promotes a collaborative and inclusive work culture where learning is continuous and employees are encouraged to innovate. The company offers flexible remote arrangements, regular upskilling programs and clear career progression paths, ensuring a healthy work‑life balance.

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.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL & Data Analytics) → 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.