week). 5 years of experience required as an SAP Data Quality Analyst. Must have a valid driver's license criminal record. Reference: SAP Data Quality (TB) Perform data quality assessments to identify data issues root cause analysis to understand the source of data quality issues and develop solutions for remediation and implement data quality standards. Provide training and guidance to users on data quality best practices implementations with focus on data cleansing and data quality. The resource will work closely with various
CDO in the data governance councils. Define and report on indicators of performance and quality metrics to the business. Define data quality approach. Manage and monitor data quality reporting. Support and remediation initiatives. Set requirements for data quality, data lineage, data security, data privacy and Initiate data management improvements, set data quality, data security, data privacy, data issue remediation least 5 years exposure to Data Governance or Data Quality (SAP, BI, Microsoft etc.) DAMA Framework experience
CDO in the data governance councils. Define and report on indicators of performance and quality metrics to the business. Define data quality approach. Manage and monitor data quality reporting. Support and remediation initiatives. Set requirements for data quality, data lineage, data security, data privacy and Initiate data management improvements, set data quality, data security, data privacy, data issue remediation least 5 years exposure to Data Governance or Data Quality. DAMA Framework experience. Proficient in the
Lineage Transform Data Can create scripts Raise Data Quality Issues Drive Resolution of data issues Facilitate
Lineage Transform Data Can create scripts Raise Data Quality Issues Drive Resolution of data issues Facilitate
administrative support in relation to maintaining data quality and facilitate the SHEQ IMS updates.
recommendations to management and cross-functional teams. Data Quality and Integrity: Contribute to ensuring data accuracy Implement data governance best practices to maintain data quality. Polar Analytics Data mining and visualisation
recommendations to management and cross-functional teams. Data Quality and Integrity: Contribute to ensuring data accuracy Implement data governance best practices to maintain data quality. Polar Analytics Data mining and visualisation
administrative support in relation to maintaining data quality and facilitate the SHEQ IMS updates. Requirements:
data trends Interpreting and visualizing data Data quality Building automation for finance and operations