Data Quality and Data Steward Analyst

Mitsubishi UFJ Financial Group•Tempe, AZ

2d•$78,000 - $106,000•Hybrid

About The Position

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. Job Summary: We are seeking a detail-oriented and analytical Data Quality and Data Steward Analyst to support our Financial Crimes Compliance (FCC) program. This role is critical in ensuring the integrity, accuracy, and usability of data used in key financial crimes areas, including Know Your Customer (KYC) , Anti-Money Laundering (AML) , and Transaction Filtering . The ideal candidate will be responsible for designing, configuring, and maintaining data quality rules, as well as analyzing rule breaks to determine whether they indicate data quality issues or require rule refinement.

Requirements

Understanding financial crimes compliance, including KYC, AML, and sanctions screening is beneficial.
Experience working with moderate-scale data environments
SQL experience
Proficiency with Microsoft Office—particularly Excel.
Knowledge of data visualization tools (e.g., Tableau, Power BI)
Experience with data quality tools (e.g., Informatica DQ, Collibra)
Familiarity with data profiling, cleansing, and enrichment techniques
Ability to interpret complex data sets and translate findings into actionable insight
Analytical, problem-solving, and communication skills

Responsibilities

Develop, configure, and maintain data quality rules across financial crimes domains (KYC, AML, Transaction Filtering).
Monitor and analyze data quality rule breaks; investigate anomalies and determine root causes.
Classify rule breaks as either data quality issues or rule logic refinements and document findings.
Collaborate with compliance, operations, and technology teams to resolve data quality issues and implement improvements.
Maintain data dictionaries, metadata repositories, and data lineage documentation.
Support data governance initiatives