MUFG (Mitsubishi UFJ Financial Group) is one of the world's leading financial groups. Headquartered in Tokyo and with over 360 years of history, MUFG has a global network with over 2,500 locations in more than 50 markets including the Americas, Europe, the Middle East and Africa, Asia and Oceania. The Group has over 170,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing. Through close partnerships among our group companies, the Group aims to be the world's most trusted financial group, flexibly responding to all of the financial needs of its customers, serving society, and fostering shared and sustainable growth for a better world.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Major Responsibilities

• Create new data analytics including the analysis of metrics and risk assessment results, where needed.
• Identify opportunities to automate processes for compliance monitoring tool optimization and efficiencies Use statistical methods to analyze data and generate useful business reports.
• Work with department managers to outline the specific data needs for each business method analysis project.

Qualifications

• Bachelor's degree in Computer Science or a closely-related discipline
• 1-2 years of experience using SQL, ETL, Informatica, and Python
• Financial industry experience is desirable.
• Knowledge in business processes across line of business, as well as technology disciplines, is very important.
• Experience working with high-performing teams in complex program execution.
• Good understanding of waterfall and agile methods, stakeholder management, budget management, risk management, and operations
• Ability to create and maintain relationships with a wide range of stakeholders.
• Project management experience within a technology organization is desirable.
• Hands on project management experience; track record of project go live implementations.
• Technology infrastructure or application development experience is desirable.
• A Basic to intermediate knowledge of data model theory, database design, structured query language (SQL), and related data warehousing practices
• Experience with any BI tool- Preferably, Cognos and Tableau and their respective consumption of data is preferred.
• Use of other data modeling tools will be considered with the core skill set SQL, Python (descriptive / predictive models), and Tableau Viz
• Understand processes to ensure data lineage, consistency, integrity, and transparency.
• Have experience with aspects of requirements analysis, traceability, and testing for enhancements and projects that are small, medium, or large in size and/or complexity.
• Assist the Lead Analyst in performing day-to-day operational support activities.
• Assist in the design and delivery of solutions that support the fundamental data and governance process
• Understand and assist the lead in translating business needs into data models.
• Assist in implementing data strategies, building data flows, and developing conceptual data models.
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
• Update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical, and physical data models along with corresponding metadata.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges.