NTT DATA is hiring for an FRESHER entry level Associate Data Analyst (Business Intelligence) role in India

Position:

• Associate Data Analyst - Business Intelligence

Company:

• NTT DATA

Location:

• Gurgaon, Haryana, India

• Hyderabad, Telangana, India

Job Type:

• Full Time

Job Mode:

• Remote Working

Job Requisition ID:

• Not Specified

Years of Experience:

• 0 to 3 Years

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Company Description

• NTT DATA is one of the world's leading providers of business and technology solutions, helping organizations transform their operations through innovation, digital technologies, cloud services, artificial intelligence, cybersecurity, analytics, and enterprise solutions.

• The organization serves a large percentage of the Fortune Global 100 and supports clients across numerous industries including banking, healthcare, telecommunications, retail, manufacturing, government, and technology.

• With operations spanning more than fifty countries, the company has built a strong reputation for delivering technology driven solutions that help organizations improve efficiency, customer experiences, and business outcomes.

• NTT DATA continues to invest heavily in research and development to remain at the forefront of technological advancement. Through significant annual investments in innovation initiatives, the organization consistently develops new approaches that help businesses solve complex challenges.

• Employees benefit from a collaborative and inclusive culture that values diversity, learning, and professional growth. Team members are encouraged to contribute ideas, participate in innovative projects, and build meaningful careers within a supportive environment.

• The company maintains a strong commitment to ethical business practices, sustainability, and social responsibility. By combining technological expertise with business insight, NTT DATA enables clients to navigate rapidly changing market conditions successfully.

• The organization promotes continuous learning and provides employees with opportunities to develop technical and professional skills through training programs, mentorship, certifications, and practical project experience.

• As a globally recognized employer, NTT DATA attracts talented professionals from diverse backgrounds and creates opportunities for individuals to work on impactful projects that shape the future of technology and business.

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Profile Overview

• The Associate Business Intelligence Analyst position is designed for individuals who are beginning their careers in analytics, business intelligence, reporting, and data driven decision making.

• This role focuses on supporting business teams by converting raw information into meaningful insights that can help guide operational and strategic decisions.

• The successful candidate will learn how to gather, organize, analyze, and interpret information from multiple internal and external sources while developing expertise in reporting, visualization, and analytics technologies.

• Employees in this position will work closely with experienced analysts and business stakeholders to understand business challenges and identify data driven solutions.

• A significant aspect of the role involves supporting the development of dashboards, visual reports, performance metrics, and analytical summaries that help business leaders monitor performance and identify opportunities.

• The position provides exposure to a variety of business intelligence activities including data extraction, report generation, trend analysis, forecasting, performance measurement, and dashboard maintenance.

• Candidates will gain practical experience working with structured and unstructured datasets while learning how to transform business requirements into actionable insights.

• The role also includes participation in initiatives focused on improving reporting processes, enhancing data quality, and supporting business operations through reliable information management practices.

• Individuals will develop technical knowledge related to data analysis tools, reporting systems, database technologies, and statistical methods while strengthening communication and stakeholder management capabilities.

• This opportunity serves as an excellent starting point for professionals interested in building long term careers in analytics, business intelligence, data science, reporting, or consulting.

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Key Responsibilities

Business Data Analysis

• Analyze business issues using available data sources under the guidance of senior team members.

• Support the identification of trends, patterns, opportunities, and risks that may impact business performance.

• Assist in interpreting analytical findings and presenting meaningful conclusions.

• Participate in data exploration activities to answer business questions.

• Help generate recommendations that support decision making processes.

Reporting and Dashboard Development

• Contribute to the creation and maintenance of business intelligence reports.

• Assist with dashboard design and performance tracking solutions.

• Support the preparation of recurring and ad hoc reports for stakeholders.

• Help define reporting specifications and requirements.

• Participate in improving reporting processes and reporting efficiency.

Forecasting and Planning Support

• Assist with the development of forecasts using historical and current business data.

• Support planning activities through analytical insights and recommendations.

• Contribute to performance measurement and trend analysis initiatives.

• Participate in business reviews and reporting discussions.

Data Collection and Management

• Gather information from multiple internal and external sources.

• Identify reliable sources of business information.

• Support data cleansing and validation activities.

• Ensure collected information is relevant and suitable for analysis.

• Participate in maintaining accurate and updated datasets.

Stakeholder Collaboration

• Work with business users to understand reporting and analytical requirements.

• Assist in translating business needs into meaningful reports and dashboards.

• Participate in meetings with stakeholders across departments.

• Support communication of analytical findings in an understandable format.

Process Improvement

• Identify opportunities to improve reporting workflows.

• Assist with streamlining data collection processes.

• Support initiatives aimed at improving data quality and consistency.

• Participate in documentation and process enhancement activities.

Analytics and Visualization

• Learn and apply visualization best practices.

• Assist in transforming data into user friendly visual formats.

• Support the creation of charts, dashboards, and graphical reports.

• Help ensure business users can easily understand analytical outputs.

Quality Assurance

• Review reports and analytical outputs for accuracy.

• Support validation of metrics and reporting calculations.

• Assist in maintaining reporting standards and consistency.

• Participate in quality control processes related to business intelligence deliverables.

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Qualifications

• Bachelor's degree in Data Science, Business Analytics, Mathematics, Statistics, Economics, Engineering, Computer Science, Computer Engineering, or another quantitative discipline is preferred.

• Strong interest in analytics, business intelligence, reporting, and data driven decision making.

• Basic understanding of statistical methods and analytical concepts.

• Familiarity with collecting, organizing, and managing large volumes of information.

• Knowledge of reporting principles and performance measurement concepts.

• Understanding of data mining methodologies and predictive analytics concepts.

• Ability to identify meaningful patterns and trends within datasets.

• Familiarity with cloud and on premises data environments.

• Basic understanding of business intelligence tools and reporting technologies.

• Ability to communicate findings effectively to different audiences.

• Strong attention to detail and commitment to accuracy.

• Willingness to learn new technologies and analytical techniques.

• Interest in transforming business challenges into data driven solutions.

• Understanding of privacy regulations and responsible data usage practices.

• Ability to manage multiple priorities in a fast paced environment.

• Strong organizational and time management skills.

• Demonstrated curiosity and problem solving capability.

• Ability to collaborate effectively within cross functional teams.

• Comfortable working independently while seeking guidance when necessary.

• Positive attitude toward learning and continuous professional development.

 

Required Skills and Technical Competencies

Data Analytics

• Data interpretation

• Trend identification

• Business analysis

• Data exploration

• Analytical reasoning

Reporting

• Excel reporting

• Dashboard creation

• Business reporting

• Performance tracking

• Data presentation

Statistical Knowledge

• Statistical concepts

• Forecasting basics

• Data summarization

• Predictive analysis fundamentals

Database and Querying Skills

• SQL fundamentals

• Data extraction

• Query development

• Database understanding

Communication Skills

• Presentation skills

• Written communication

• Stakeholder interaction

• Business communication

Professional Skills

• Problem solving

• Team collaboration

• Attention to detail

• Time management

• Adaptability

 

Please click here to apply.