NTT DATA is hiring for a fresher entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• NTT DATA North America

Location:

• Noida, Uttar Pradesh, India

Job type:

• Full-time

Job mode:

• Onsite with possible hybrid flexibility depending on project needs

Job requisition id:

• 338365

Years of experience:

• 0 to 3 years

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Company Description

• NTT DATA is recognized as a trusted global innovator in technology and business services, operating in over 50 countries with a strong emphasis on creating sustainable digital futures.

• The company generates annual revenues of more than 30 billion dollars and partners with 75 percent of the Fortune Global 100, making it one of the largest IT and consulting service providers worldwide.

• Its services are broad and span across areas such as digital transformation, advanced data and AI solutions, industry-specific consulting, and enterprise infrastructure management.

• The company maintains a strong network of collaborations with both established businesses and emerging start-ups, giving it the ability to deliver cutting-edge solutions across different industries.

• With annual investments of over 3.6 billion dollars in research and development, NTT DATA continuously explores new areas of innovation in AI, cloud computing, digital infrastructure, and connectivity.

• It is consistently recognized as a Global Top Employer, which reflects its commitment to diversity, inclusion, adaptability, and professional growth for employees worldwide.

• The organization emphasizes ethical hiring practices, openly stating that candidates are never asked for money or confidential banking details during recruitment.

• In India, NTT DATA has developed a strong presence, supporting both local clients and global businesses with high-quality delivery, innovation, and cost-effective solutions.

• By joining NTT DATA, individuals gain the opportunity to be part of a dynamic team that values collaboration, knowledge sharing, and impactful work.

• The company envisions not just serving clients but also enabling entire societies to adapt and thrive in an increasingly digital future.

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Profile Overview

• The Data Analyst role at NTT DATA is designed for entry-level professionals and fresh graduates who are motivated to start their careers in data analytics.

• Analysts will engage in projects where they collaborate closely with experienced business analysts, product owners, and data scientists to understand reporting, monitoring, and dashboard requirements.

• A central focus of this role is working with transaction monitoring systems and creating fine-tuned rules, scenarios, and methodologies that balance reducing false positives while enhancing detection capabilities.

• Analysts are expected to explore transaction data thoroughly, identify patterns that might indicate anomalies, unusual activity, or industry-specific typologies, and present these findings clearly.

• This role goes beyond simple reporting, as it requires analysts to design data solutions that address complex business needs, ensuring insights are actionable and aligned with decision-making goals.

• A substantial amount of time will be spent creating data field mappings and building dashboards that track organizational metrics, operational KPIs, and compliance outcomes.

• Beyond dashboards, analysts also contribute by conducting market and trend research that informs larger business strategies, helping stakeholders understand both risks and opportunities.

• Collaboration with diverse teams is a key part of this role. Analysts must ensure data integrity, accuracy, and meaningful interpretation across departments.

• Regular reporting and preparation of analytical presentations for stakeholders is expected, requiring both technical ability and effective communication skills.

• Overall, the role provides a structured path for beginners in analytics to grow, offering exposure to high-value business problems and technical tools in a global work environment.

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Qualifications

• Bachelor’s or master’s degree in disciplines such as computer science, information systems, mathematics, data science, or related technical areas.

• Strong foundation in SQL for querying, extracting, and managing data from databases.

• Basic to intermediate proficiency in Python to perform data cleaning, processing, and analysis tasks.

• Understanding of statistics, including hypothesis testing, regression analysis, and probability distributions, to evaluate data accurately.

• Familiarity with optimization techniques and predictive modeling is beneficial, though not mandatory for entry-level candidates.

• Exposure to machine learning concepts like clustering, classification, and regression will give candidates an additional edge.

• Ability to use visualization tools such as Power BI, Tableau, or equivalent platforms to create interactive dashboards.

• Communication skills to translate technical data insights into actionable recommendations for business leaders.

• Capacity to work collaboratively with cross-functional teams including product owners, business analysts, and compliance experts.

• Strong analytical mindset, curiosity-driven problem-solving skills, and willingness to learn new techniques or adopt industry best practices.

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Additional Info

• NTT DATA offers a workplace culture that values continuous learning, innovation, and career development.

• The organization supports flexible work arrangements; however, candidates should be prepared for in-office requirements depending on client needs.

• Employees gain access to large-scale projects and exposure to global business challenges that strengthen both technical and business skills.

• This role provides a stepping stone into advanced positions in analytics, data science, or business intelligence within NTT DATA.

• Employees benefit from structured mentorship programs, internal training, and opportunities to grow in their chosen career path.

• The work environment is inclusive and supportive, reflecting the company’s reputation as a Global Top Employer.

• Data Analysts in this role will develop technical expertise while also deepening their understanding of business strategy and market dynamics.

• The company emphasizes ethical recruitment, advising candidates never to respond to fraudulent job offers that request payments.

• By working at NTT DATA, individuals gain the opportunity to contribute to cutting-edge solutions that shape the digital future for global clients.

• Joining this role provides not only immediate career growth but also long-term exposure to evolving fields in data and AI.

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Expanded Job Responsibilities

• Collaborate with business analysts, product owners, and data scientists to thoroughly understand the reporting requirements, monitoring indicators, and dashboard specifications needed for effective decision-making.

• Work with stakeholders to clarify the objectives of each dashboard or report, ensuring that the metrics align with the business’s strategic goals.

• Support the creation of dashboards that help management visualize progress, detect anomalies, and identify areas of improvement.

• Contribute to the design and refinement of transaction monitoring rules, making them precise enough to catch suspicious activities while reducing unnecessary alerts.

• Continuously test and fine-tune monitoring rules to improve their efficiency, ensuring that false positives are minimized and system alerts remain reliable.

• Analyze transaction data to detect patterns that could indicate potential fraud, compliance risks, or operational inefficiencies.

• Use statistical analysis and trend identification techniques to recognize unusual behaviors or shifts in transaction volumes.

• Work with systems like Mantas, Actimize, and SAS to perform regular tuning and optimization, ensuring these platforms deliver accurate and useful insights.

• Design data-driven solutions that address specific organizational needs, ranging from compliance monitoring to operational efficiency improvements.

• Translate complex requirements into structured data solutions that are technically sound and aligned with business expectations.

• Build detailed field-level data mappings to support dashboard creation, ensuring every data element is accurately defined and consistently maintained.

• Create, update, and maintain dashboards that highlight performance indicators and key risk factors, giving decision-makers timely access to important data.

• Conduct research on industry trends, transaction monitoring practices, and emerging market patterns to provide strategic recommendations.

• Assist stakeholders in making informed decisions by presenting both quantitative data analysis and qualitative insights from market research.

• Collaborate with cross-functional teams to validate the accuracy and reliability of data used in dashboards, ensuring consistency across different reporting systems.

• Develop a deep understanding of the data sources, systems, and integration pipelines that feed into dashboards and monitoring platforms.

• Identify opportunities for process improvement based on data-driven findings, such as automating repetitive tasks or introducing more robust data validation steps.

• Prepare structured reports and visual presentations summarizing analytical findings, ensuring that complex insights are presented in a clear and accessible format.

• Stay up to date with evolving best practices in data analytics, visualization, and reporting, applying these learnings to enhance work outcomes.

• Continuously build knowledge about compliance frameworks, fraud detection methodologies, and regulatory guidelines relevant to transaction monitoring.

• Support ad hoc data analysis requests from stakeholders, providing timely and accurate responses that help drive quick decisions.

• Play an active role in knowledge sharing across teams by documenting analysis processes, dashboard creation steps, and optimization techniques.

• Maintain a proactive approach to learning and professional development, taking advantage of NTT DATA’s training opportunities and mentorship programs.

• Cultivate the ability to manage multiple projects at once, balancing dashboard development with data analysis, system optimization, and reporting tasks.

• Foster a collaborative work environment by engaging constructively with colleagues across different functions and geographies.

• Remain adaptable to shifting priorities, understanding that client requirements and project demands may change rapidly.

• Apply curiosity and critical thinking to every analysis, asking not only what the data shows but also why certain patterns or behaviors are emerging.

• Engage with leadership teams when required, presenting findings in a way that emphasizes the business impact and actionable outcomes of the data.

• Serve as a reliable partner to stakeholders by consistently delivering accurate, timely, and insightful analysis that informs organizational strategy.

Please click here to apply.