Data Management Specialist (d|f|m)

at  Mainteny GmbH

This job is open to all levels: Change of career or entry-level candidate? Let’s chat! ✨
As a Data Management Specialist, you’ll play a crucial role in ensuring the accuracy and integrity of our customer data. You’ll collaborate with cross-functional teams to implement data quality measures, streamline processes, and drive successful data migrations. If you’re passionate about data excellence and thrive in a dynamic environment, we’d love to hear from you!

As an integral part of our experienced team, your tasks will include:

• Data Quality Strategy: Develop and implement a robust data quality strategy for the migration of customer master data.
• Implementation of Quality Assurance Measures: Develop and implement measures to maintain high quality standards of data throughout the migration process, including data cleansing and validation.
• Customer Data Preparation: Efficiently prepare customer data, ensuring it’s ready for a successful migration.
• Documentation of Data Architecture: Maintain up-to-date documentation of the data architecture, ensuring accuracy and relevance.
• User Training: Provide training sessions and guidance to users on data quality and best practices.
• Collaboration with Stakeholders: Work closely with various stakeholders and data owners to ensure a smooth and seamless data migration process.

• Data Quality Strategy: Develop and implement a robust data quality strategy for the migration of customer master data.
• Implementation of Quality Assurance Measures: Develop and implement measures to maintain high quality standards of data throughout the migration process, including data cleansing and validation.
• Customer Data Preparation: Efficiently prepare customer data, ensuring it’s ready for a successful migration.
• Documentation of Data Architecture: Maintain up-to-date documentation of the data architecture, ensuring accuracy and relevance.
• User Training: Provide training sessions and guidance to users on data quality and best practices.
• Collaboration with Stakeholders: Work closely with various stakeholders and data owners to ensure a smooth and seamless data migration process