Collaborate with all stakeholders to ensure data quality, reliability, accessibility, security and governance to data analysts Design data integrations and data quality frameworks. Work and collaborate with the rest
sibilities:
to enhance collections strategies Ensure that data quality and integrity is maintained between collections requirements Implement and test data validation plan Maintain quality service and group standards Analyse
summarizing re-works and wastes and inputting data into quality database
relevant regulations Promote a culture where data quality is paramount 5. Stakeholder Engagement Collaborate
requirements, develop data pipelines, and ensure data integrity and quality. The ideal candidate will have extensive abilities Detail-oriented with a focus on data accuracy and quality Ability to work independently and as part
Our client is recruiting for a Quality Supervisor in the Automotive Manufacturing industry. The successful candidates will be required to travel to Thailand for training and as such will require a valid passport.
JOB PURPOSE: The Quality Supervisor is respo
Capacity to analyse information and data to identify potential quality issues and propose solutions. Communication: inspection results, analyse data, and identify trends or patterns related to quality. Documentation: Keeping Capacity to analyse information and data to identify potential quality issues and propose solutions. Communication: inspection results, analyse data, and identify trends or patterns related to quality. Documentation: Keeping
Capacity to analyse information and data to identify potential quality issues and propose solutions. Communication: inspection results, analyse data, and identify trends or patterns related to quality. Documentation: Keeping Capacity to analyse information and data to identify potential quality issues and propose solutions. Communication: inspection results, analyse data, and identify trends or patterns related to quality. Documentation: Keeping
Capacity to analyse information and data to identify potential quality issues and propose solutions.
data, and identify trends or patterns related to quality.
Documentation: