Improving Customer Data Integrity

3 days ago

Sydney, New South Wales, Australia beBeeDataQuality Full time $85,000 - $95,000
Job Title: Data Quality Specialist

A leading financial institution is seeking a skilled professional to improve the accuracy, consistency, and reliability of customer data assets.

Key Responsibilities:
  • Utilize 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.
  • Develop and implement effective data quality components, ensuring seamless integration with existing systems.
  • Conduct thorough data profiling and assessments to identify and resolve anomalies, resulting in improved data accuracy.
  • Collaborate closely with data governance teams and business stakeholders to define and enforce data quality standards, aligning technical solutions with business requirements.
  • Recommend improvements and automation opportunities for data quality processes, enhancing overall data quality and reducing errors.
  • Monitor and analyze data quality metrics, producing informative dashboards and reports to drive data-driven decisions.
Requirements:
  • At least 5 years of experience in enterprise data quality initiatives, with a strong focus on data analysis and quality assurance.
  • Proven expertise in Informatica Data Quality (IDQ), including rule creation, monitoring, and optimization.
  • Excellent SQL skills and experience working with large relational datasets, ensuring efficient data processing and manipulation.
  • PREFERRED experience with Oracle Enterprise Data Quality (OEDQ), especially in address cleansing and standardization.
  • Strong understanding of data governance, Master Data Management (MDM), and data quality frameworks, ensuring alignment with industry best practices.
  • Exceptional analytical and communication skills, with the ability to translate complex business needs into actionable technical solutions.
  • Experience in industries where address and data quality are critical, such as finance, logistics, insurance, and healthcare.
  • Familiarity with agile environments and tools like JIRA and Confluence, ensuring seamless collaboration and project management.
  • Knowledge of data quality dashboards and reporting tools like Power BI, enabling informed decision-making and data visualization.

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