Chief Data Integrity Specialist

5 days ago

Sydney, New South Wales, Australia beBeeData Full time

Key Responsibilities:

  • Utilize Informatica Data Quality (IDQ) for profiling, cleansing, monitoring, and rule-based transformation activities.
  • Develop address cleansing solutions and create reusable data quality components.
  • Conduct data profiling and assessments to identify and resolve anomalies.
  • Collaborate with data governance teams and business stakeholders to define and enforce data quality standards.
  • Recommend improvements and automation opportunities for data quality processes.
  • Monitor data quality metrics and produce dashboards and reports.
  • Evaluate alignment between business requirements and technical data quality solutions.

Skill Requirements:

  • At least 5 years of experience in enterprise data quality initiatives.
  • Proven expertise in Informatica Data Quality (IDQ), including rule creation and monitoring.
  • Strong SQL skills and experience working with large relational datasets.
  • Prior experience with Oracle Enterprise Data Quality (OEDQ), especially in address cleansing and standardization is desired.
  • A solid understanding of data governance, MDM, and data quality frameworks.
  • Excellent analytical and communication skills, with the ability to translate business needs into technical solutions.
  • Experience in industries where address and data quality are critical, such as finance, logistics, insurance, or healthcare.
  • Familiarity with agile environments and tools like JIRA and Confluence.
  • Knowledge of data quality dashboards and reporting tools like Power BI.

About the Role:

This role plays a key part in a major transformation initiative focused on improving the accuracy, consistency, and reliability of customer data assets. The successful candidate will use Informatica Data Quality (IDQ) tools to implement address cleansing solutions, design data quality rules, and collaborate with stakeholders to ensure data integrity across large datasets.

The ideal candidate will have strong analytical and communication skills, with the ability to translate business needs into technical solutions. They should also be familiar with agile environments and tools like JIRA and Confluence, and have knowledge of data quality dashboards and reporting tools like Power BI.

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