Data Analyst

Vor 2 Tagen


Berlin, Berlin, Deutschland SV Collection Vollzeit

Role Description

The Data Analyst is responsible for collecting, analyzing, and interpreting data to support informed decision-making and drive organizational insights. This role focuses on transforming raw data into actionable information by identifying trends, patterns, and correlations. The Data Analyst collaborates with cross-functional teams to understand business needs, define metrics, and develop reports or dashboards that provide clarity and visibility into key performance indicators. Responsibilities include performing data cleaning, validation, and transformation to ensure accuracy and reliability. The Data Analyst also assists in designing and automating data processes, supporting ad-hoc analysis requests, and presenting findings in a clear and concise manner. This role encourages critical thinking, attention to detail, and a proactive approach to problem-solving. By leveraging data to provide insights and recommendations, the Data Analyst plays a crucial role in guiding strategy, optimizing operations, and enabling evidence-based decisions across the organization.

Qualifications

  • Strong analytical skills with the ability to interpret complex datasets.
  • Proficiency in data manipulation, cleaning, and visualization tools.
  • Ability to create clear and actionable reports, dashboards, and presentations.
  • Familiarity with databases, SQL, and data querying techniques.
  • Attention to detail to ensure accuracy and reliability of data.
  • Strong communication skills for effectively conveying insights to stakeholders.
  • Ability to identify trends, patterns, and anomalies within datasets.
  • Collaborative mindset, capable of working with multiple teams to understand requirements.
  • Problem-solving orientation with a focus on data-driven decision support.
  • Comfortable performing ad-hoc analyses and supporting ongoing reporting needs.
  • Adaptability to evolving business priorities and changing data requirements.
  • Willingness to learn new tools, methodologies, and technologies to enhance analysis capabilities.

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