Data Quality Analyst

Job Purpose and Impact

This role will be responsible for design and develop data quality industry best practices, assisting the business users /data stewards in implementing a global or enterprise level data quality solution for improving data quality.

Key Accountabilities

• Responsible for design, develop, and Deploy data quality Solution using Informatica Cloud Data Quality (IDMC).
• Implement Data Quality Dashboard/ KPI reports based on DQ Dimension / Parameters, for use by all stakeholders locally and globally.
• Closely work with Data Quality SME’s, Business Data Stewards to implement Data Definitions, Standards/ Policies to measure and Report Data Quality.
• Develop, Review, maintain codebase in accordance with industry best practices and standards.
• To be able to perform - Data Extraction, Data validation and Reports generation for Batch & Real-time.
• Data profiling, DQ Assessment, Complex DQ Rules creation and Execution, DQ Scorecard Generation.
• Monitor and support on DQ Solution related issues, Bug fixes, User training and access, etc.
• Perform Address Cleansing and Validation using Informatica/ other third-party directories/ application.
• To be able to perform - Match & Merge/ De-duplication process to identify Master & Subordinate records.
• Good knowledge in Informatica admin Tasks - creation of Projects & connections, Schedules, etc.

Qualifications

MINIMUM QUALIFICATIONS

• Bachelor’s degree in a related field or equivalent experience
• Minimum 6-9 years of experience in Data Quality Tools and Technologies
• Other minimum qualifications may apply.

PREFERRED QUALIFICATIONS

Minimum 6-9 years of working experience in Informatica Cloud Data Quality Platform/ solutions (IDMC).

• IDMC - Cloud Data Quality (CDQ), Data Integration (CI), Catalogue & Governance (CDGC),
  • Profiling, Application Integration, Metadata Scanning, CLAIRE – Mandatory
• Informatica Address Doctor or DAS - Mandatory
• Informatica Data Quality (IDQ) – Preferred
• Informatica MDM, Power Center – Preferred