DQ Analyst

Roles and Responsibilities:

• Profile data and measure current quality levels and issues.
• Propose and implement data quality monitors in Data Quality tool.
• Identify, triage, and communicate potential data quality issues to stakeholders.
• Work with technical teams to implement fixes to data quality issues
• Develop and maintain data quality reporting and alerting mechanisms
• Implement process improvements to enhance overall data quality
• Work with Service Management teams to establish and monitor service level agreements, communication protocols with data suppliers, and data quality assurance policies
• Provide data quality advisory services to projects and stakeholders
• Provide data quality training and presentations to external clients and internal teams

Required Skill Sets:

• Experience working in AWS, Redshift, Atlan, MonteCarlo
• Prior exposure to Data Observability, Monitoring, Lake Formations
• Knowledge in SQL for purpose of data analysis/investigation
• Work with the Data Product Owners, Data Analysts, and Data Engineers to help manage and deliver on the product technical roadmap for the data platform
• Strong understanding of Data Quality and Data Governance fundamentals

Preferred Qualifications:  

• Comfortable making decisions and leading 
• Familiar with data observability, data quality tools 

Other Key Attributes / Characteristics: 

• Superior communication skills both oral and written 
• Positive contributor, strong team member, loves to work with and empower others 
• Collaborates with a team 
• Time management skills 

Terms /Expected Hours of Work: 

• 40 hours per week 
• Working hours (Off-shore): TBD

Metadata Analyst

Roles and Responsibilities:

• Curate and maintain technical, business, and operational metadata within a Data Catalog tool
• Collaborate with business stakeholders to define, document, and maintain standardized business terms
• Ensure consistency and alignment of reference data across systems and datasets.
• Apply privacy, sensitivity, and regulatory tags (e.g., PII, SPI) at the appropriate asset level.
• Act as a bridge between technical teams and business users to translate data context effectively
• Support governance workflows such as approvals, reviews, and change requests in the catalog
• Provide training and presentations to external clients and internal teams

Required Skill Sets:

• Experience working in AWS, Redshift, Atlan, MonteCarlo
• Prior exposure to Reference Data, Privacy Taxonomy, Lake Formations
• Knowledge in SQL for purpose of data analysis/investigation
• Work with the Data Product Owners, Data Analysts, and Data Engineers to help manage and deliver on the product technical roadmap for the data platform
• Strong understanding of Data Governance fundamentals

Preferred Qualifications:  

• Comfortable making decisions and leading 
• Familiar with Data Catalog Tool, Reference Data Management

Other Key Attributes / Characteristics: 

• Superior communication skills both oral and written 
• Positive contributor, strong team member, loves to work with and empower others 
• Collaborates with a team 
• Time management skills 

Terms /Expected Hours of Work: 

• 40 hours per week 
• Working hours : 9-5