NTT DATA is hiring for the Data Analyst role with a remote work option, offering an excellent opportunity for fresh graduates and experienced professionals who want to build or advance a career in data analytics. This role focuses on transforming raw data into actionable insights that support business decisions across global clients and enterprise platforms. With exposure to large datasets, modern analytics tools, and cross-functional collaboration, this position is well suited for candidates who enjoy analytical problem-solving and data-driven storytelling.
About NTT DATA
NTT DATA is a global IT services and consulting organization that partners with enterprises across industries to deliver technology-enabled business solutions. The company operates at scale, supporting clients with data analytics, cloud, digital transformation, and enterprise applications. Working at NTT DATA provides exposure to global projects, diverse datasets, and industry best practices, making it a strong environment for learning and long-term career growth in analytics.
Role Overview – Data Analyst
The Data Analyst role at NTT DATA focuses on collecting, analyzing, validating, and presenting data to help stakeholders make informed decisions. Analysts work with business teams, technology partners, and clients to understand requirements, design analytical solutions, and deliver insights through reports and dashboards.
- Job Title: Data Analyst
- Employment Type: Full-time
- Experience Level: Freshers / Experienced
- Location: Remote
- Qualification: Bachelor’s / Master’s Degree
- Domain: Data Analytics / Business Intelligence
This role provides a solid foundation for professionals aiming to grow into advanced analytics, data science, or consulting roles.
Purpose of the Data Analyst Role
The primary purpose of this role is to convert data into meaningful insights that drive business outcomes. Data Analysts ensure data accuracy, identify trends and patterns, and communicate findings clearly to both technical and non-technical stakeholders. Their work directly impacts reporting quality, operational efficiency, and strategic planning.
Key Responsibilities
As a Data Analyst, you will typically be responsible for:
- Collecting and cleaning data from multiple sources to ensure accuracy and consistency
- Validating datasets and resolving data quality issues
- Performing exploratory data analysis to identify trends, patterns, and anomalies
- Developing dashboards and reports for business and client stakeholders
- Translating analytical findings into clear, actionable insights
- Collaborating with cross-functional teams to understand business requirements
- Supporting ad-hoc analysis requests and ongoing reporting needs
- Documenting analysis methods and results for transparency and reuse
These responsibilities ensure that insights are reliable, timely, and aligned with business objectives.
Technical Skills Required
To succeed in this role, candidates generally need the following technical skills:
- Strong proficiency in Excel for data manipulation and analysis
- Working knowledge of SQL for querying and validating datasets
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms
- Understanding of data structures and basic statistical concepts
- Ability to interpret and summarize complex datasets
- Familiarity with reporting and dashboard best practices
Exposure to Python, R, cloud analytics platforms, or automation tools is an added advantage but not mandatory.
Professional and Soft Skills
In addition to technical abilities, strong professional skills are essential for success:
- Clear written and verbal communication skills
- Ability to explain data insights to non-technical stakeholders
- Strong attention to detail and quality focus
- Analytical and problem-solving mindset
- Time management and prioritization skills
- Collaborative approach when working with cross-functional teams
These skills help analysts deliver insights that are both accurate and impactful.
Role Views – Day-to-Day Work Experience
On a typical day, a Data Analyst at NTT DATA can expect:
- Working with datasets received from business systems or clients
- Cleaning, validating, and preparing data for analysis
- Writing SQL queries and performing calculations in Excel or BI tools
- Building or updating dashboards and reports
- Participating in meetings to understand requirements or present findings
- Supporting stakeholders with ad-hoc data requests
- Reviewing data quality issues and suggesting improvements
This daily exposure helps analysts strengthen both technical and business understanding.
Who Should Apply
This role is suitable for:
- Fresh graduates looking to start a career in data analytics
- Early-career professionals with analytical or reporting experience
- Candidates with backgrounds in engineering, business, mathematics, statistics, or analytics
- Individuals who enjoy working with data to solve business problems
- Professionals seeking remote work opportunities in analytics
A strong academic foundation, analytical curiosity, and willingness to learn matter more than extensive prior experience.
Work Culture and Learning Environment
NTT DATA promotes a collaborative and learning-focused work culture. Data Analysts work with global teams, clients, and diverse datasets, gaining exposure to multiple industries and use cases. The environment encourages continuous learning, skill development, and professional growth through structured processes and best practices.
Career Growth and Long-Term Opportunities
Starting as a Data Analyst at NTT DATA can lead to advanced roles such as:
- Senior Data Analyst
- Business Intelligence Analyst
- Analytics Consultant
- Data Scientist (with additional technical upskilling)
- Data Strategy or Reporting Lead
With experience and performance, professionals can also move into leadership or domain-specialized analytics roles.
How to Apply
Apply through the official NTT DATA careers portal.
Before applying, ensure your resume highlights data analysis skills, tools proficiency, academic or project experience, and problem-solving ability. Including examples from college projects, internships, or real data analysis tasks can significantly improve shortlisting chances.
This NTT DATA Data Analyst role is a strong opportunity for candidates who want to build a sustainable analytics career with global exposure, modern tools, and flexible remote work options.
