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Summary

As a Data Analyst, you will play a critical role in driving informed decision-making processes by analyzing complex data sets and transforming raw data into actionable insights. The ideal candidate should have worked in the banking domain and possess a strong analytical mindset, exceptional problem-solving capabilities, and a solid understanding of financial metrics. The candidate should have data migration experience. Your responsibilities will include developing and maintaining dashboards, conducting in-depth market research, performing trend analysis, and collaborating with cross-functional teams to ensure data integrity. This role requires strong proficiency in data visualization tools, statistical analysis software, and the ability to communicate findings effectively to stakeholders. Additionally, the role increasingly involves leveraging modern AI/ML techniques to enhance data insights and automation.

Responsibilities

Lead data migration activities and analysis
Work with Data scientists/Business Analysts/Product Owner to understand MI and dashboard requirements.
Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.
Create detailed field level mappings as needed for different MI Dashboards.
Develop and maintain comprehensive dashboards to visualize key performance indicators.
Conduct market research and trend analysis to inform strategic business decisions.
Collaborate with cross-functional teams to ensure data accuracy and integrity.
Identify and recommend process improvements based on data analysis findings.
Prepare detailed reports and presentations on analytical findings for stakeholders.
Stay updated on industry trends, data analysis techniques, and best practices.

Requirements

Minimum of 8+ years of experience in data engineering or a similar role.
Technical Proficiency: Strong Python skills for data analysis and software development, with familiarity in libraries/frameworks such as PyTorch or TensorFlow
AI Expertise: Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering
Machine Learning Fundamentals: Understanding of classical ML algorithms, data preprocessing techniques, and model evaluation methods
Frameworks: Experience with agentic and orchestration frameworks such as LangChain, AutoGen, or CrewAI
Cloud & DevOps: Experience deploying data/ML solutions on cloud platforms (AWS, Azure, GCP) and working with MLOps tools such as Docker

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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Data and AI Analyst

Job Description