Data Manager

Vor 2 Tagen

Hamburg, Hamburg, Deutschland Grow Your Business Vollzeit 40.000 € - 80.000 € pro Jahr

Role Description

The Data Manager is responsible for overseeing the collection, organization, and maintenance of data to ensure accuracy, accessibility, and security. This role focuses on establishing and enforcing data management policies, standards, and procedures to support organizational decision-making and operational efficiency. The Data Manager works closely with cross-functional teams to understand data needs, facilitate proper data governance, and ensure the integrity of data across systems. Responsibilities include monitoring data quality, implementing data validation processes, and coordinating the integration of datasets from multiple sources. This role also involves preparing reports, dashboards, and analyses to provide actionable insights to stakeholders. The Data Manager plays a key role in optimizing data workflows, supporting compliance requirements, and fostering a culture of data-driven decision-making. Strong attention to detail, organizational skills, and a proactive approach to problem-solving are essential. The position encourages collaboration, continuous improvement, and the adoption of best practices in data management to ensure reliable and high-quality data resources.

Qualifications

  • Strong understanding of data management principles, data governance, and data quality standards.
  • Ability to organize, maintain, and validate large datasets efficiently.
  • Proficiency with database systems, data integration tools, and reporting platforms.
  • Analytical mindset with the ability to transform data into actionable insights.
  • Strong communication skills for collaborating with technical teams and business stakeholders.
  • Detail-oriented approach to ensure data accuracy, consistency, and reliability.
  • Familiarity with data security and compliance requirements.
  • Ability to monitor, track, and improve data workflows and processes.
  • Comfortable preparing reports, dashboards, and visualizations for decision-making.
  • Collaborative mindset, capable of supporting multiple teams and projects simultaneously.
  • Problem-solving orientation with a focus on optimizing data systems and processes.
  • Willingness to adopt new technologies and continuously improve data management practices.

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