NTT DATA is hiring fresher’s and experienced candidates for the role of Data Analyst. The complete details about role are as follows.
NTT DATA Career 2025 | Data Analyst
Company : NTT DATA
Role : Data Analyst
Degree : Any Bachelor’s degree
Batches : 2025 – 2021
Experience : 0 – 4 year’s
Salary : 3 – 15 LPA* (Expected)
Location : Bangalore, India (Remote)
Job Description:
This is a Data Data Analyst position at NTT DATA, likely based in India (possibly remote or in locations like Bengaluru, Chennai, or other hubs, as many similar roles are). It’s a full-time role focused on digging into large datasets to uncover insights that help drive smarter business decisions. You’ll be working with data from various sources, cleaning it, analyzing trends, and turning raw numbers into actionable stories—often using tools like SQL, Python, and visualization platforms. It’s a great fit if you’re analytical, love problem-solving with data, and want to contribute to real business impact in a global IT services environment. Perfect for someone with some experience who enjoys a mix of technical work and communicating findings.
Qualifications & Skills :
NTT DATA looks for practical skills over super strict requirements, but here’s what stands out from similar active Data Data Analyst roles:
- A bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (Master’s is a plus but not always needed).
- 1-5 years of experience in data analysis, depending on the level.
- Strong proficiency in SQL for querying and manipulating data.
- Hands-on experience with Python for data processing, scripting, and analytics (libraries like Pandas, NumPy are common).
- Knowledge of data visualization tools like Power BI, Tableau, or similar to create dashboards and reports.
- Good understanding of statistics and ability to spot trends/patterns in complex datasets.
- Excellent communication skills to explain insights to non-technical stakeholders.
- Bonus: Experience with big data tools, cloud platforms (like AWS or Azure), or domain knowledge in industries like finance, healthcare, or telecom.
They’re big on quick learners who are detail-oriented and can handle multiple priorities.
Roles and Responsibilities :
- Analyzing large and complex datasets to identify trends, patterns, and key insights that support business strategies.
- Writing efficient SQL queries to pull, aggregate, and validate data from databases.
- Using Python to clean, transform, and model data—sometimes building simple statistical models.
- Creating interactive dashboards and reports (e.g., in Power BI) for stakeholders to easily understand findings.
- Collaborating with teams to understand business needs and translate them into data requirements.
- Validating data quality, spotting anomalies, and recommending improvements.
- Supporting decision-making by providing data-driven recommendations.
- Occasionally automating repetitive tasks or contributing to data pipeline enhancements.
How To Apply For NTT DATA Careers :
- Click on the “Apply Here” button provided below. You will be redirected to Company official career page.
- Click on “Apply Online”.
- If you have not registered before, create an account.
- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Provide accurate information in your application.
- Verify that all the details entered are correct.
- Submit the application form after verification.
NTT DATA Apply Link: Click Here
Telegram Group : Click here
Join our WhatsApp Group: Click here
All Jobs : Click here
About NTT DATA :
NTT DATA is a massive Japanese multinational IT services and consulting giant, part of the bigger NTT Group, headquartered in Tokyo. They’re one of the top 10 global IT providers, with around $30 billion in annual revenue and over 190,000 employees spread across more than 50 countries. They help big clients (including 75% of the Fortune Global 100) transform digitally through consulting, cloud services, application development, data analytics, cybersecurity, and more.