NTT DATA Associate Graduate Data Ops 2026: Exciting role in Bangalore, Karnataka, offering a strong entry-level pathway into data operations and business support. This is a full-time on-site job designed for graduates who want hands-on exposure to reporting, data accuracy checks, coordination, and stakeholder communication.
Job Details
| Company | NTT DATA, Inc. |
| Job Role | Associate Graduate Data Ops |
| Location | Bangalore, Karnataka, India |
| Experience | 0-3 Years (Freshers and Entry-Level candidates welcome) |
| Salary | ₹3.2-4.0 LPA (Lakhs Per Annum) with in-hand salary of approximately ₹22,000-25,000 per month |
| Employment Type | Full-time |
| Last Date to Apply | Apply as soon as possible |
About The Company
NTT DATA stands as a trusted global innovator of IT and business services, headquartered in Tokyo, Japan, with operations spanning over 70 countries. As part of the NTT Group, the organization employs more than 190,000 professionals worldwide and generates over $30 billion in annual revenue. The company serves 75% of Fortune Global 100 clients, delivering transformation through consulting, industry solutions, business process services, IT modernization, and managed services.
With an annual research and development investment exceeding $3.6 billion, NTT DATA continuously explores innovation in artificial intelligence, cloud computing, digital infrastructure, and connectivity. Recognized as a Global Top Employer, the organization maintains a strong commitment to responsible innovation and client success. NTT DATA’s India operations include state-of-the-art facilities in Bangalore, Chennai, Hyderabad, Mumbai, Delhi, and Pune, providing graduates with opportunities to work on high-impact projects for multinational clients.
Eligibility Criteria
Education:
– Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Data Science, or related technical disciplines
– Minimum 60% marks or 6.5 CGPA throughout academic career
– No active backlogs at the time of application
Technical Skills:
– Strong proficiency in SQL for database querying, data extraction, and management
– Basic to intermediate Python knowledge for data cleaning, processing, and analysis
– Understanding of statistical concepts including hypothesis testing, regression analysis, and probability distributions
– Familiarity with data visualization tools such as Power BI, Tableau, or equivalent platforms
– Working knowledge of Microsoft Office Suite (Excel, Word, PowerPoint, Teams)
– Database management and data entry capabilities
Preferred Skills:
– Exposure to machine learning concepts like clustering, classification, and regression
– Knowledge of optimization techniques and predictive modeling
– Understanding of transaction monitoring systems (Mantas, Actimize, SAS)
– Awareness of ITIL processes and compliance frameworks
Soft Skills:
– Excellent analytical and problem-solving abilities
– Strong written and verbal communication skills to translate technical insights for business stakeholders
– Attention to detail and accuracy in data handling
– Collaborative mindset to work effectively with cross-functional teams
– Curiosity-driven approach to learning new techniques and industry best practices
Roles & Responsibilities
- Gains knowledge and experience in area of specialization or function.
- Acquires the relevant practical experience and knowledge of the service or solution offered by the specific area or function.
- May typically assist with general administrative for a specific area or function.
- Receives detailed instructions to coordinate meetings, logistics, filing and record keeping.
- Assists with the preparation and distribution of reports and review system data for accuracy.
- Supports the identification of errors or discrepancies and escalates them for resolution.
- Supports with any entry level technical or non-technical tasks as required by the business area or function.
- Proactively seeks out opportunities to broaden their learning.
- Performs any other related task as required.
Selection Process
NTT DATA follows a structured, transparent recruitment process designed to identify candidates who align with the organization’s values and possess the requisite technical capabilities.
Stage 1: Application Submission
Candidates submit applications through the official NTT DATA careers portal or LinkedIn job posting. The application requires uploading an updated resume highlighting academic achievements, technical skills, projects, internships, and relevant certifications.
Stage 2: Application Review
The talent acquisition team conducts a comprehensive review of submitted applications, assessing candidates against eligibility criteria including educational qualifications, technical skills, academic performance, and cultural fit indicators.
Stage 3: Interviews and Assessments
Shortlisted candidates participate in multiple interview rounds that may include:
- Technical assessments evaluating SQL, Python, data analysis, and problem-solving skills
- Behavioral interviews exploring communication abilities, teamwork, and adaptability
- Case study exercises assessing analytical thinking and business acumen
- Discussions with hiring managers to understand role expectations and career aspirations
Candidates should prepare responses to common interview questions related to their experience, skills, projects, and motivation for joining NTT DATA. Preparing specific examples demonstrating technical proficiency and problem-solving capabilities significantly strengthens candidacy.
Stage 4: Job Offer
Successful candidates receive formal job offers outlining compensation, benefits, work location, joining date, and employment terms.
Stage 5: Background Checks
NTT DATA conducts verification of educational credentials, employment history (if applicable), and reference checks to ensure information accuracy.
Stage 6: Onboarding
Selected candidates join NTT DATA’s comprehensive onboarding program, which may include participation in the Campus to Career initiative—an intensive 6-8 week training program designed specifically for recent graduates. This training typically takes place in January or June and covers technical skills, business processes, organizational culture, and professional development.
How to Apply For NTT DATA Associate Graduate Data Ops 2026
- Visit the official careers page: Click Here to Apply
- Register/Login with your details.
- Fill in the application form and upload your resume.
- Submit before Application Deadline.
Preparation Tips
Technical Preparation:
- Strengthen SQL skills by practicing queries on platforms like HackerRank, LeetCode, or Mode Analytics
- Build proficiency in Python libraries including Pandas, NumPy, and Matplotlib for data manipulation and visualization
- Create a portfolio of data analysis projects showcasing your ability to extract insights from datasets
- Familiarize yourself with Power BI or Tableau through online tutorials and hands-on practice
- Review fundamental statistical concepts: measures of central tendency, hypothesis testing, correlation, and regression analysis
- Practice data cleaning techniques including handling missing values, outliers, and duplicate records
Interview Preparation:
- Prepare structured responses using the STAR method (Situation, Task, Action, Result) for behavioral questions
- Review your academic projects in detail, being prepared to explain methodologies, challenges faced, and outcomes achieved
- Understand NTT DATA’s business model, industries served, and recent company developments
- Research common data analyst interview questions focusing on SQL queries, data interpretation, and problem-solving scenarios
- Develop questions to ask interviewers about team structure, project types, learning opportunities, and career progression
Important Dates
| Application Start Date | January 2nd 2026 |
| Last Date to Apply | Apply as soon as possible |
| Exam/Interview Date | Will be communicated via email |
Don’t miss this opportunity to work with NTT DATA Associate Graduate Data Ops 2026 Apply Online






