Data Processing Specialist

Vor 7 Tagen

Berlin, Berlin, Deutschland Onion Group Vollzeit 45.000 € - 65.000 € pro Jahr

Role Description

The Data Processing Specialist is responsible for managing, processing, and analyzing large volumes of data to ensure accuracy, consistency, and accessibility for decision-making and operational purposes. This role involves collaborating with multiple teams to support data-driven initiatives, maintain data integrity, and streamline workflows. The Data Processing Specialist plays a key role in transforming raw data into actionable insights, supporting reporting, analytics, and organizational objectives.

Key responsibilities include collecting, validating, and processing data from various sources, ensuring its accuracy and completeness. The role involves performing routine and complex data transformations, running quality checks, and resolving discrepancies in collaboration with relevant stakeholders. The Data Processing Specialist prepares data reports, summaries, and dashboards to support business analysis, project tracking, and strategic planning. Additionally, the role contributes to process improvement initiatives, optimizing data workflows and enhancing overall data quality and efficiency.

This position requires strong attention to detail, analytical skills, and proficiency in data management tools and software. The Data Processing Specialist must be able to work independently as well as collaboratively, managing multiple tasks and deadlines effectively. The role offers exposure to different datasets, systems, and analytical techniques, providing opportunities to enhance technical expertise and contribute to organizational success.

Qualifications

  • Strong attention to detail and commitment to maintaining data accuracy and integrity.
  • Proficiency in data management tools, spreadsheets, databases, and reporting software (e.g., Excel, SQL, BI tools).
  • Ability to process, clean, and validate large datasets efficiently.
  • Strong analytical and problem-solving skills for identifying data discrepancies and trends.
  • Excellent organizational and time-management skills to handle multiple tasks and deadlines.
  • Ability to prepare clear and accurate reports, summaries, and dashboards.
  • Strong communication skills for coordinating with team members and stakeholders.
  • Familiarity with data governance and data quality standards.
  • Adaptability and willingness to learn new data processing tools and methodologies.

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