Position
Role Title and Designation
The designated official title for this opportunity is Data and Business Insights Associate, positioning the individual at the intersection of business strategy and technical data execution within the corporate hierarchy.
This position is structured as an entry-level gateway for aspiring professionals looking to establish a robust career trajectory in the domains of data analytics, business intelligence, and digital transformation.
The role acts as a primary foundational building block for individuals seeking to transition theoretical knowledge into practical, enterprise-grade business insights and reporting mechanisms.
Associates in this capacity are entrusted with foundational data handling responsibilities, ensuring that raw information is meticulously transformed into structured, actionable intelligence for internal stakeholders and external clients.
The designation emphasizes an active collaboration model, requiring team members to work seamlessly alongside seasoned data analysts, automation engineers, and machine learning specialists to deliver high-impact solutions.
The role specifically focuses on bridging the gap between complex technical data pipelines and clear, digestible business reporting dashboards that drive executive decision-making.
Functional Classification
Classified broadly under operational data services and business intelligence support, the function requires a balanced blend of quantitative acumen and qualitative communication skills.
The position operates within a structured team environment where supervision is provided, allowing entry-level candidates to receive continuous mentorship while executing daily deliverables.
Responsibilities span across requirement gathering, data preparation, visualization creation, and maintenance of analytical features designed to support overarching business intelligence initiatives.
The role demands a proactive approach to professional development, encouraging associates to constantly refine their technical proficiency across multiple programming languages and business intelligence platforms.
Accountability is measured through the accuracy of requirement analysis, the timeliness of deliverable execution, and the effectiveness of cross-functional collaboration with engineering and analytical squads.
Company
Corporate Identity
The hiring organization is NTT DATA Services, a globally recognized leader in IT services, digital business solutions, and technology consulting.
NTT DATA Services operates with a deep-rooted commitment to delivering innovative solutions that enable clients to navigate digital disruption and achieve sustainable business transformation.
The organization fosters an inclusive, collaborative culture that prioritizes employee well-being, professional growth, work-life balance, and continuous technological innovation.
Recognized globally and locally—including prestigious accolades such as the AmbitionBox Employee Choice Awards—the company stands out as an employer of choice that values talent stability and career progression.
The corporate ecosystem is built on a foundation of diverse perspectives, global reach, and a shared passion for leveraging technology to solve complex business challenges across multiple industries.
Industry Standing
As part of the broader NTT group, the organization commands a formidable global presence, servicing clients across North America, Europe, Asia-Pacific, and Latin America.
The company specializes in cloud transformation, application services, infrastructure management, artificial intelligence, machine learning, and advanced data analytics solutions.
Market reputation is anchored in delivery excellence, deep domain expertise, long-term client partnerships, and a robust framework of corporate governance and ethical business practices.
The enterprise invests heavily in research and development, ensuring that its workforce is equipped with cutting-edge tools, platforms, and methodologies to stay ahead of market trends.
Employee empowerment and continuous learning initiatives form the cornerstone of the company's human resource strategy, fostering a dynamic environment for technical and professional advancement.
Location
Geographic Workplace
The primary physical location for this employment opportunity is Coimbatore, a prominent technology and educational hub located in the state of Tamil Nadu, India.
Coimbatore is renowned for its robust infrastructure, vibrant talent pool, pleasant climate, and rapidly expanding ecosystem of global capability centers and IT enterprises.
The office environment is designed to facilitate modern collaborative workflows, featuring state-of-the-art workstations, high-speed connectivity, and dedicated collaborative zones for project discussions.
Physical accessibility is well-supported by local transport networks, making commutes convenient for professionals residing within the metropolitan area and surrounding regions.
The regional center acts as a strategic delivery node for global operations, contributing significantly to high-value analytics, engineering, and consulting projects.
Regional Operations
Operations based out of the Coimbatore center are deeply integrated with global client delivery pipelines, requiring seamless coordination across international time zones.
The facility houses multidisciplinary teams specializing in software engineering, data science, infrastructure support, and business process analytics.
Infrastructure within the center adheres to international compliance and security standards, ensuring the utmost protection of client data and proprietary intellectual property.
The collaborative layout of the workspace encourages cross-pollination of ideas between different technology units, accelerating problem-solving and innovation cycles.
Regional leadership places strong emphasis on employee engagement, regular skill-enhancement workshops, and holistic wellness programs to maintain a vibrant workplace culture.
Job Type
Employment Structure
The employment structure for this role is full-time, ensuring long-term career stability, comprehensive benefits, and structured professional growth pathways within the organization.
Full-time status grants employees access to a wide array of corporate perks, including health insurance packages, structured leave policies, and retirement contribution plans.
The arrangement is designed to foster deep organizational commitment, allowing associates to immerse themselves fully in long-term strategic projects and client accounts.
Performance evaluations, salary revisions, and promotion cycles are systematically tied to the full-time employment framework, providing clear visibility into career progression milestones.
The structure supports continuous employment security while demanding a high level of dedication, accountability, and adherence to company policies and professional standards.
Engagement Model
The daily engagement model revolves around structured core working hours, agile project sprints, and regular sync-ups with team leads and cross-functional partners.
Associates participate in daily stand-ups, backlog grooming sessions, and retrospective meetings to ensure alignment with project objectives and delivery timelines.
The model encourages active knowledge sharing through internal documentation portals, peer mentoring programs, and technical community forums.
Collaboration tools and enterprise communication platforms are utilized extensively to maintain seamless connectivity across distributed teams and global stakeholders.
The engagement framework is built to balance independent task execution with collaborative problem-solving, fostering both autonomy and teamwork.
Job Mode
Work Arrangement
The work mode is structured around organizational guidelines that may encompass onsite, hybrid, or flexible working arrangements depending on current business and project requirements.
Onsite presence at the Coimbatore delivery center ensures robust team collaboration, secure handling of sensitive client data, and immersive training experiences for entry-level professionals.
The working environment provides ergonomic workstations, dedicated technical support infrastructure, and an atmosphere conducive to focused analytical work.
Flexibility is embedded into the operational model to accommodate varying project demands while ensuring adherence to data security and confidentiality protocols.
Team leaders work closely with associates to establish predictable scheduling patterns that balance operational needs with personal well-being.
Shift Flexibility
The role requires flexibility with working hours, as business requirements may necessitate alignment with United Kingdom (UK) or United States (US) operational shifts.
Shift rotations are managed systematically to ensure fair distribution of working hours and adequate advance notice for planning personal schedules.
Working across international shifts provides associates with unique exposure to global client management, international business communication, and cross-cultural collaboration.
Job Requisition ID
Not provided in the original job descriptionYears of Experience
Experience Threshold
The position is explicitly targeted at freshers, recent university graduates, and individuals who are nearing the completion of their academic programs.
Candidates with zero to minimal prior corporate experience are warmly welcomed, provided they possess a foundational understanding of data concepts, reporting principles, and analytical logic.
The threshold is intentionally set to lower barriers for entry, enabling young talent to kickstart their professional journeys in a supportive, high-growth corporate environment.
While extensive prior work history is not mandatory, academic projects, internships, or certifications in relevant technical domains serve as strong supplementary assets.
Candidate Eligibility
Educational prerequisites require candidates to hold a recognized bachelor's or master's degree in quantitative fields, computer science, engineering, mathematics, statistics, or related disciplines.
Graduating cohorts and final-year students nearing course completion are fully eligible to apply, provided they can transition into the full-time role upon graduation.
A demonstrated aptitude for logical reasoning, mathematical problem-solving, and critical thinking forms a core eligibility criterion for selection.
Basic familiarity with programming concepts and data manipulation languages serves as a vital stepping stone for successful candidacy.
Passion for continuous learning, professional development, and adapting to emerging technological trends is essential for thriving in this entry-level capacity.
Company Description
Organizational Heritage
NTT DATA Services is built upon a rich legacy of technological innovation, customer-centricity, and unwavering dedication to engineering excellence.
The company traces its lineage to pioneering technology conglomerates that shaped the modern IT landscape, evolving continuously to meet the changing demands of the digital era.
Corporate culture is deeply anchored in core values that emphasize integrity, client value creation, teamwork, and respect for individual diversity.
Strategic acquisitions and organic growth have expanded the company's capabilities, establishing it as a dominant force in global IT and business process consulting.
Profile Overview
Core Purpose
The primary objective of the Data and Business Insights Associate is to understand, gather, and meticulously prepare business requirements for data-driven projects.
Associates work under structured guidance and supervision, collaborating closely with both internal teams and external stakeholders to articulate precise customer requirements.
Cross-Functional Collaboration
Success in this role hinges on the ability to collaborate fluidly across multidisciplinary technical teams, bridging the gap between raw data operations and business intelligence.
Associates interface with automation specialists to integrate data pipelines, ensuring that automated reporting workflows operate with high fidelity and minimal latency.
Operational Responsibilities
Translating high-level business objectives into structured requirement documents that guide downstream technical development and reporting design.
Conducting preliminary data cleaning, transformation, and validation exercises to ensure data integrity before visualization and analysis.
Qualifications
Technical Competencies
A solid foundational understanding of data structures, reporting principles, and database management concepts.
Working knowledge of at least one job-associated programming language or data platform, such as Python, D3, Javascript, HTML5, SQL, PowerBI, Tableau, Azure Cognitive Services, or Power Platforms.
Familiarity with data visualization methodologies and the ability to interpret complex datasets into intuitive graphical representations.
Understanding of data extraction, transformation, and loading (ETL) principles, alongside basic statistical analysis techniques.
Capability to write clean, maintainable queries and scripts to extract and manipulate data for analytical reporting purposes.
Analytical Skills
Appropriate mathematical knowledge encompassing basic statistics, algebra, and logical reasoning to evaluate numerical trends and anomalies.
Strong critical thinking capabilities enabling the candidate to dissect complex business problems and formulate structured analytical hypotheses.
Exceptional attention to detail, ensuring that data discrepancies, outliers, and reporting errors are identified and rectified promptly.
Ability to synthesize large volumes of disparate information into concise, coherent insights that support managerial decision-making.
A proactive mindset geared toward continuous professional development and keeping abreast of emerging trends in data analytics and business intelligence.
Soft Skills and Communication
Strong command over the English language, both written and verbal, ensuring professional correspondence and technical documentation.
Excellent technical writing skills capable of translating complex analytical processes into clear, understandable user manuals and specifications.
Customer-focused orientation with a deep commitment to delivering high-quality outputs that address client pain points effectively.
Robust interpersonal skills facilitating smooth collaboration within diverse, cross-functional, and globally distributed team environments.
Adaptability and flexibility to manage shifting priorities, tight deadlines, and international shift requirements with professional composure.
Additional Info
Growth and Development
Early-career professionals benefit from accelerated career pathways, with structured milestones designed to transition associates into senior analyst or engineering tracks.
Regular performance feedback sessions and career development discussions help employees identify their strengths and target areas for skill enhancement
Community Engagement
Employees are encouraged to participate in corporate social responsibility initiatives, community outreach programs, and technology education drives.
Internal employee resource groups foster a sense of belonging and provide platforms for networking, mentorship, and cultural celebration.
Please click here to apply.

