From day one, you will support your agile team and independently deliver Business Intelligence projects.

You will analyze existing data structures and develop optimization strategies to improve performance and efficiency. In addition, you will design data-driven solutions and visualize insights through interactive Power BI dashboards.

You will work closely with Data Engineers and business stakeholders to continuously enhance data-driven processes. With your expertise, you will contribute to strategic initiatives and help design and implement modern BI architectures in the Azure cloud.

You will become part of a great team in a dynamic and international environment - flexible working hours and home office are an integral part of our culture.

Key Responsibilities

• Design, develop, and maintain scalable BI solutions and dashboards (primarily in Power BI)

• Analyze and optimize existing data models and structures

• Develop and implement performance optimization strategies

• Transform and analyze large-scale datasets using modern cloud technologies

• Collaborate closely with Data Engineers and business departments

• Support the development of KPI frameworks and operational metrics

• Contribute to the design and implementation of Azure-based BI architectures

• Drive continuous improvement of data-driven processes

• 5+ years of experience in a data analytics role, with a focus on cloud data platforms
• Strong SQL skills (complex queries, joins, CTEs, performance optimization)
• Hands-on experience with BI tools (preferably Power BI)
• Experience using PySpark for data transformation and analysis
• Practical experience with Databricks and Azure cloud services
• Experience working with large-scale datasets
• Strong understanding of KPI design and operational metrics
• Strong analytical thinking and problem-solving abilities
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• Fluent in German and English
• Experience in logistics or transportation analytics would be a plus