Data Quality Analyst - NJ at MUFG in Jersey City, NJ

Job description

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. 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. Position Summary The Data Quality Analyst will support a Data Domain’s data governance and data quality activities, with a focus on translating business requirements into measurable, technical data quality controls. The role will design, develop, and test complex business data quality rules within the firm’s enterprise Data Quality platform, leveraging SQL to analyze, validate, and monitor data. The position is well suited for someone with strong foundational data and analytical skills who wants to build broader experience across data quality, governance, metadata, lineage, analytics, enterprise data platforms, and emerging technologies. Key Responsibilities Design, code, test, and maintain business data quality rules , including complex rules requiring SQL-based logic. Analyze datasets using SQL to understand data structures, relationships, patterns, anomalies, and potential data quality issues. Partner with business and technology stakeholders to translate business requirements into implementable data quality rules and controls. Investigate data quality exceptions and support root-cause analysis, remediation, monitoring, and reporting . Support broader domain governance activities, including metadata, lineage, data ownership, issue management, and governance deliverables . Document data quality requirements, technical logic, results, and analysis to provide clear traceability and support ongoing monitoring. Qualifications Strong SQL and data analysis skills , including joins, aggregations, conditional logic, data validation, and analysis of complex datasets. Strong foundational understanding of relational databases, data models, data types, keys and relationships, data pipelines, and upstream/downstream data flows . Familiarity with data quality, metadata, lineage, data governance, and broader data management concepts . Strong analytical and problem-solving skills, including the ability to investigate data issues and translate business requirements into technical logic. Experience with data quality, data catalog, analytics, or data management platforms; Collibra or similar platform experience is beneficial but not required . Experience with business intelligence and visualization tools such as Tableau or Power BI is helpful but not required. Exposure to AI, Generative AI, or Large Language Models (LLMs) and their potential application to data and analytics use cases is helpful but not required. Strong attention to detail and communication skills, with the ability to collaborate across business, data, and technology teams . Intellectual curiosity and an interest in developing broad, modern data capabilities across analytics, governance, technology, and AI. Education: Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience “Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.” The typical base pay