Senior Analyst - Customer Data Management

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.

EDUCATION • Degree or equivalent work experience equally preferable. CERTIFICATIONS • Undergraduate degree in mathematics / computer science / statistics / economics WORK EXPERIENCE • Some prior related experience • Experience in data models and data analysis FUNCTIONAL SKILLS • Knowledge of relevant laws, legal codes, government regulations, agency rules, and current industry practices • Knowledge of computer software, including relevant applications such as Microsoft Word, Excel, and PowerPoint • Experience with formulation of business analytics • Familiar with database management tools (e.g., Oracle, Microsoft SQL Server) • Familiar with data modeling tools (e.g., Oracle SQL Developer, Database Workbench, ER/Studio) • Familiar with data visualization tools (e.g., Excel, Tableau) • Ability to design processes that make up a data system, and influence engineering and product directions • Ability to interact with external database administrators, data engineers, product managers, business stakeholders, and technology leaders • Ability to analyze large datasets • Ability to write high level technical specifications and comprehensive reports FOUNDATIONAL SKILLS • Communicates effectively • Identifies multiple paths to success through the development of analytical, critical thinking, and decision-making skills • Exercises sound judgement and strives for continuous improvement • Demonstrates optimism, resilience, flexibility, and openness to others' ideas • Learns while doing • Actively listens and asks thoughtful questions • Leverages available technology to achieve efficiency and results • Engages inclusively and with intent • Always acts with integrity • Analytical thinking • Iterative problem-solving • Serving as a trusted advisor • Excellent interpersonal skills • Self-motivated, with excellent time-management skills, as well as follow-up and follow through skills to ensure issues are resolved in a timely manner • Exceptional attention to detail RESPONSIBILITIES • Participate in developing functional requirements, testing, training and implement applications. • Assist in mining, analyzing and interpreting data and information from the data warehouse to meet specific client and business needs. • Assist in planning, developing, implementing, and supporting new or existing Customer Relationship Management functions. • Design, implement, and maintain complex databases to ensure data availability, accessibility and accuracy. • Participate in reviewing, analyzing, and evaluating sales, marketing and administrative user needs. • Review and maintain company database dictionaries and ensuring system integration. • Analyze marketing data and generate reports on customer information, call patterns, and demographics. • Identify data sources, construct data decomposition diagrams, and provide data flow diagrams and documentation for data constructing and maintaining processes. • Use statistical methods to analyze data and generate useful business reports • Identify and recommend new ways to streamline business processes • Use data to create models • Research, analyze, and interpret source data as necessary to fulfill business requirements • Provide high level, preliminary technical specifications to be used in subsequent data modeling and integration