Key Responsibilities

Support periodic and ad-hoc data quality profiling, analysis, and dashboard reporting to monitor data quality metrics and identify data issues.
Review, validate, and approve business metadata to ensure compliance with enterprise data governance standards and data definitions.
Assist in thematic reviews and governance initiatives related to Data & Artificial Intelligence (AI) Risk Management.
Perform data analysis to identify data inconsistencies, assess data completeness, validate intended data usage, and recommend remediation where necessary.
Support the implementation and maintenance of data governance policies, standards, and quality controls across Consumer Banking & Wealth Management.
Collaborate with business users, data owners, technology teams, and governance stakeholders to resolve data quality issues and improve data integrity.
Prepare reports, dashboards, and documentation to support data governance activities and management reporting.
Support investigations into data-related issues and contribute to continuous improvements in data quality and governance processes.
Participate in ad-hoc projects and perform other duties assigned by the supervisor.

Requirements

Diploma or Degree in Business Analytics, Information Technology, Computer Science, Computing, Business Studies, or a related discipline.
1-3 years of experience in Banking, Financial Services, Management Consulting, or a data-related role such as Data Management, Data Governance, Data Quality, Data Analysis, or Data Engineering.
Good understanding of banking products, financial services processes, and associated data models.
Solid proficiency in SQL for data extraction, analysis, and validation.
Experience performing data profiling, data quality assessments, and data analysis.
Excellent analytical and problem-solving skills with excellent attention to detail.
Good verbal and written communication skills, with the ability to work effectively with both business and technical stakeholders.
Familiarity with data governance and data management frameworks such as DAMA-DMBOK or DCAM (Data Management Capability Assessment Model) is advantageous.
Exposure to data platforms and technologies such as Hadoop, Cloudera Data Platform (CDP), Python, PySpark, Apache Superset, or Teradata.
Knowledge of Data Governance, Data Quality, Metadata Management, Master Data Management (MDM), or Data & AI Risk Governance concepts.

Jireli Gem Mejia Cabria EA License No.: 02C3423 Personnel Registration No.: R1434374

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Data Governance Analyst | Contract | Bank