Data Quality Analyst - NJ

United States·Jersey Citymid

Data Quality AnalystData & AI

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Overview

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,

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Data Quality AnalystData & AI

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.

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.

Responsibilities

~1 min read

→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.

Requirements

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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.

Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

The typical base pay range for this role is as follows:

New York / New Jersey: $103-121 K

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.

Our hybrid work schedule is four days on-site and work remotely one day per week.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.