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MUFG
is hiring
Data Analyst
About Our Company
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.
Job Description & Responsibilities
Working as a member of the Office of the Chief Data Officer (OCDO), Enterprise Data Quality Team (EDQ), responsible for enabling the efficient and actionable use of data by planning, developing, and implementing enterprise data controls across systems within the Bank with a focus on Risk and Regulatory Reporting under the Data Management Integrated Control Framework (DMICF). Acting as Golden Source Identification and Certification (GSIC) Data Quality Analyst for Agile systems development lifecycle projects, work with a broad range of teams and roles across the organization including teams such as Office of the Chief Data Officer, Americas Risk Management, and Regulatory Reporting as well as roles such as Report Content Owners, Business System Owners, System Managers, project business sponsors, business and technical Subject Matter Expert resources within multiple MUFG entities, project manager, project leads, and IT. This role will further support Data Quality Leads with data analysis, support onboarding efforts for new control points, and support any ongoing monthly collection and reporting process.
Key Responsibilities
- Implement control structures to ensure the accuracy and quality of data through all upstream and downstream data channels
- Maintain the data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to our policies and standards, principles, governance metrics, processes, related tools, and data architecture
- Ensure that data-related business requirements for protecting sensitive data are communicated, well understood, considered as part of operational prioritization and planning
- Participate in and contribute to data source identification (lineage), data mapping, functional design and detail design
- Support Root Cause Analysis / investigation activities and document results
- Ensure adherence to enterprise data standards, quality, and monitoring processes
- Support project documentation reviews and testing activities at all levels to include reviews of test plans, test cases, and test scripts; triage and support fixes as necessary.
- Identify gaps between current capabilities and new requirements, document design improvements, etc.
- Determine data domains, identify in scope key data elements, assessment of rules required and expected.
- Defining data quality rules across dimensions that data must conform to.
- Identify and recommend new ways to streamline business processes
- Research, analyze, and interpret source data as necessary to fulfill business requirements
- Implement control structures to ensure the accuracy and quality of data through all upstream and downstream data channels
- Maintain the data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to our policies and standards, principles, governance metrics, processes, related tools, and data architecture
- Ensure that data-related business requirements for protecting sensitive data are communicated, well understood, considered as part of operational prioritization and planning Work with business partners to provide reports as directed
- Participate in and contribute to data source identification (lineage), data mapping, functional design and detail design
- Ensure adherence to enterprise data standards, quality, and monitoring processes
- Support project documentation reviews and testing activities at all levels to include reviews of test plans, test cases, and test scripts; triage and support fixes as necessary.
- Identify gaps between current capabilities and new requirements, document design improvements, etc.
- Understand and apply familiarity with Risk and Regulatory Reporting processes and Enterprise Metadata concepts such as Key Data Elements, Business Information Model, Report Attributes, Data Attributes, Physical Location, etc.
- Performing data analysis including data extraction with standard SQL Tools.
- Writing and executing queries to profile large data sets.
- Support creation of various project related documentation (including but not limited to BRDs, DRDs, Test plans, Test Scripts, etc.)
Requirements
Education
- Degree or equivalent work experience equally preferable
Work Experience/Functional Skills
- Some data quality or similar level data analysis experience required
- Experience in the banking or finance institutions preferred
- Knowledge of industry leading data quality and data protection management practices
- Knowledge of data-related government regulatory requirements and emerging trends and issues
- Knowledge of risk data architecture and technology solutions
- 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
- Familiar with data visualization tools (e.g., Excel, Tableau, Collibra Data Quality)
- 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
Technical Skills
- Data Analysis, Data Query skills, Data Science
- Tableau, Alteryx or any other BI tool
- SQL, Python
- Amazon Web Services a plus
- Collibra Data Quality a plus
- Excel Macro a plus
What we offer
The typical base pay range for this role is between $87K - $105K depending on job-related knowledge, skills, experience, and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.
