Business Data Governance Analyst

1 week ago

Surry Hills, New South Wales, Australia Blackmores Full time
About the Role

We are seeking a highly skilled Business Data Governance Analyst to join our team at Blackmores. As a key member of our data governance team, you will play a pivotal role in supporting the implementation of a comprehensive Data Governance program.

Key Responsibilities
  • Champion Data Quality: Partner with stakeholders to define and implement data quality rules, develop metrics, and collaborate with IT and business units for root cause analysis and remediation.
  • Data Governance Framework: Assist in developing and implementing a comprehensive Data Governance program, including policies, procedures, standards, and maintaining the data governance platform with up-to-date information. Develop and maintain data governance scorecards.
  • Build a Data Inventory: Lead the development and curation of a comprehensive data catalogue, and business glossary working with stakeholders to document data lineage, ownership, and usage patterns. Partner with IT to ensure efficient data storage, access control, and security.
  • Drive Stakeholder Engagement: Build awareness and understanding of data governance across the organisation. Collaborate with stakeholders, develop training materials and workshops, and ensure ongoing communication to secure their active participation.
  • Continuous Improvement: Monitor industry trends and best practices, conduct regular data quality assessments, identify data optimisation opportunities, develop data governance scorecards, metrics, and report findings to key stakeholders.
Requirements
  • Bachelor's degree in a relevant field of Data Science, IT, Business Intelligence.
  • Possess at least 5 years or more of experience in data governance/quality with expertise managing data governance across a global supply chain & retail landscape. Experience in either global operations or retail data management (health & wellness preferred) is a plus.
  • Strong understanding of data management principles, including data quality, metadata management, and data lineage.
  • Proven experience in developing and implementing data quality standards and procedures.
  • Experience with data governance frameworks and methodologies (e.g., DAMA-DMBOK)
  • Strong analytical and problem-solving skills

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