Senior Analyst

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. About the Role Position Title: Data Engineer or Data Visualization Analyst Corporate Title: Senior Analyst Reporting to: Vice President Job Profile Position details: Cloud Data Engineer and Data Visualization Specialist with a strong technology background and hands-on experience working in an enterprise environment, designing and implementing data warehouses, data lakes, and data marts for large financial institutions. The ideal candidate will have BI & Analytics experience along with expertise in Data Engineering, Data Pipelines, and modern AI-assisted development practices. In this role, you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS), leveraging modern data platforms such as Snowflake and Starburst for semantic layer and data virtualization solutions. Candidates should also have experience applying AI-enabled productivity tools such as GitHub Copilot and exposure to Agentic AI frameworks, Prompt Engineering, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) concepts to drive automation and innovation. Successful candidates will possess in-depth knowledge of current and emerging technologies, demonstrate a passion for designing and building elegant solutions, and continuously explore opportunities to improve engineering efficiency through responsible adoption of AI technologies. Roles and Responsibilities: Manage data analysis and data integration of disparate systems using data virtualization platforms Develop and implement data mesh and data fabric architectures to enable decentralized data management and access.  Perform federated querying to access and analyze data across different data sources.  Develop user personas and business personas in alignment with data requirements and deliver solutions that meet business needs. Work with business users to translate functional specifications into technical designs for implementation and deployment Extract, transform, and load large volumes of structured and unstructured data from various sources into AWS data lakes, SaaS solutions such as snowflake or cloud based data warehouses.