Job Informationen

Location: Aarburg, hybrid Workload: Full-time Your tasks: Analytics & Business Impact Analyze data to generate actionable insights on areas such as product usage, fleet performance, and service quality Develop and maintain KPI dashboards and reports (e.g., Power BI) Identify trends, anomalies, and improvement opportunities Data Foundation & Collaboration Ensure data is reliable, consistent, and fit for analysis Support data quality rules and improve data structures and usability Collaborate with Data Engineering on data availability and pipeline requirements Platform Evolution & Enablement Contribute to scalable analytics capabilities within our organization (e.g., Self-Service Analytics) Apply statistical methods to deepen insights and support advanced analytics use cases where relevant Translate business needs into data solutions and communicate insights in a clear and business-relevant way Your profile: Technical & Analytical Skills Degree in Data Science, Business Analytics, Computer Science or similar Strong experience (4+ years) in data analysis and visualization (e.g., Power BI) Solid skills in Databricks, Azure Cloud Services, Apache Spark, GIT, SQL Python, DAX and/or similar, plus understanding of data modeling and processing Solid Knowledge of statistics and ML models Ability to create impactful, user focused reports and visualizations Business & Methodological Skills Strong business understanding and problem-solving mindset Experience translating business needs into data-driven insights Structured and analytical way of working Familiarity with Agile environments Collaboration & Personal Competencies Strong communication, stakeholder management, and presentation skills Strong analytical and structured thinking with good planning and organizational skills Curious, hands-on, pragmatic, and self-driven Good German and English skills (written and spoken)

Benötigte Skills

• Apache
• Deutsch
• Englisch
• Azure
• Business Intelligence
• Support
• Usability
• CLOUD
• Python
• Machine Learning
• SQL