Apply for NTT DATA Off Campus Drive 2025! Hiring Data Analyst Job in Bangalore for 0-2 Years to drive data exploration, SQL-based analysis, BI reporting, and data product innovation. Collaborate on stakeholder insights, data modeling, and improve business outcomes across platforms.
Candidates who are interested in NTT DATA Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Data Analyst job
Company: NTT DATA
Qualifications: BE/BTech
Experience Needed: 0-2 Years
Job Req ID: 338013
Location: Bangalore
Start Date: 10th November 2025
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Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Analyst to join our team in Bangalore, Karnataka (IN-KA), India (IN).
Key Skills & Competencies
- Proficient in SQL for data exploration and analysis
- Experience in data profiling, cleansing, and transformation
- Ability to interpret business requirements and translate them into data models / products
- Familiarity with BI tools (e.g., Cognos, Power BI, Quicksight)
- Understanding of data product concepts and data lifecycle
- Experience with metadata analysis and documentation
- Strong communication skills for stakeholder collaboration
Apply Now for NTT DATA Data Analyst Job
How to Apply NTT DATA Off Campus Drive 2025
Click on Apply to Official Link NTT DATA Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- How do you use SQL for data exploration, profiling, and transformation?
- Describe your experience with BI tools for dashboarding and business metrics.
- What approaches do you use to cleanse and model large datasets?
- Explain how you interpret business needs and translate them into data products.
- How do you validate and document metadata for robust data solutions?
- Share a scenario where you optimized or automated a reporting process.
- What tools have you used for metadata management and documentation?
- How do you ensure clarity when collaborating with non-technical stakeholders?
- Why is understanding the data lifecycle important in analytics projects?
- How do you keep skills current in a fast-evolving BI/data landscape?
