Data Quality Manager

vor 1 Woche


Essen, Nordrhein-Westfalen, Deutschland Lowell Vollzeit
Job Overview

Lowell is seeking a highly skilled Data Quality Manager to join our Data Management team in a permanent position.

Key Responsibilities
  • Implement and Enhance Data Governance Framework: Develop and maintain a robust data governance framework to ensure data quality and transparency in the DACH region.
  • Lead Data Quality Analysts: Supervise a team of data quality analysts and provide guidance on data quality processes and procedures.
  • Collaborate with Data Owners and Stewards: Work closely with data owners and stewards to specify data quality rules and ensure data quality standards are met.
  • Develop Key Data Assets: Assist in developing key data assets such as mappings and metadata to support data quality initiatives.
  • Define Data Governance Standards: Establish new standards in data governance and quality management to ensure data quality excellence.
  • Implement Automated Data Quality Measurements: Design and implement automated data quality measurements in the data warehouse ETL process to ensure data quality and integrity.
  • Monitor and Improve Data Quality: Monitor data quality through automated checks and implement improvements to ensure data quality standards are met.
  • Contribute to Data Warehouse Requirements: Contribute to data warehouse requirements and project management to ensure data quality and integrity.
  • Support Data Model Development: Support the development of DWH data models and ETL processes to ensure data quality and integrity.
  • Stay Up-to-Date with Industry Trends: Stay current with data management and analytics trends to ensure Lowell remains at the forefront of data quality excellence.
Requirements
  • Degree in IT, Business, Mathematics, or Related Field: Possess a degree in IT, business, mathematics, or a related field.
  • Experience in Data Management: Have experience in data management, data governance, data quality, data warehousing, BI, or IT consulting.
  • Understanding of Data Architectures: Possess a strong understanding of data architectures, flows, and modeling.
  • Knowledge of Relational Databases: Have knowledge of relational databases and an interest in modern technologies like cloud-based data analytics.
  • ETL Tools or BI Platforms: Experience with ETL tools or BI platforms is a plus.
  • Analytical and Conceptual Thinking: Possess analytical and conceptual thinking skills.
  • Independent Project Work: Have an independent and agile project work mindset.
  • Strong Communication Skills: Possess strong communication and presentation abilities.
  • Language Skills: Be fluent in German and English.
Benefits
  • Permanent Position: Enjoy a permanent position with a competitive salary.
  • Flexible Working Options: Have flexible working options.
  • Employee Benefits: Receive employee benefits and retirement plans.
  • Dynamic Work Environment: Work in a dynamic work environment with career development opportunities.
  • Training Programs: Participate in training programs and personal development.
  • On-Site Perks: Enjoy on-site perks like subsidized meals, fitness options, and more.

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