Enterprise Data Quality Professional

7 days ago

Sydney, New South Wales, Australia beBeeData Full time $50,000 - $70,000
About the Role

The successful candidate will play a pivotal part in driving data quality excellence across large datasets. This role focuses on address standardization and broader data cleansing, using Informatica Data Quality (IDQ) tools to implement data validation strategies and collaborate with stakeholders.

  • Implement data quality frameworks, leveraging IDQ for profiling, monitoring, and rule-based transformation activities
  • Design reusable data quality components and conduct data assessments to identify anomalies
  • Collaborate with data governance teams to define and enforce data quality standards, ensuring business requirements align with technical solutions
  • Conduct thorough data analyses and provide actionable recommendations for process improvements and automation opportunities
  • Maintain data quality metrics and produce insightful reports and dashboards to inform decision-making

This position requires strong analytical and communication skills to translate complex data needs into effective technical solutions. The ideal candidate will have a proven track record of delivering enterprise data quality initiatives, with expertise in Informatica Data Quality (IDQ), strong SQL skills, and experience working with large relational datasets.

In addition to technical proficiency, familiarity with Oracle Enterprise Data Quality (OEDQ) and knowledge of data governance, MDM, and data quality frameworks are highly valued. Strong problem-solving skills and attention to detail are essential for success in this role.

Key Responsibilities:

The key responsibilities of this role include:

  • Leveraging IDQ to implement data validation strategies and ensure data integrity
  • Designing reusable data quality components and conducting data assessments to identify anomalies
  • Collaborating with data governance teams to define and enforce data quality standards
  • Providing actionable recommendations for process improvements and automation opportunities
  • Maintaining data quality metrics and producing insightful reports and dashboards

The successful candidate will possess a unique blend of technical expertise and soft skills, with the ability to communicate complex data concepts to both technical and non-technical stakeholders.

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