Digital Reporting Analyst with Power BI (m/f)

优缺点分析

角色解读

• Progress to Senior Data Analyst or BI Lead roles, focusing on more complex business problems and broader data strategy.
• Opportunity to deepen expertise in Azure/Databricks and expand into data engineering or data science tracks.
• With exposure to supply chain analytics, you could move into supply chain data management or operations analytics.
• Design and implement Power BI solutions for strategic business projects, working closely with users of all expertise levels.
• Maintain, optimize, and build data models and dashboards to ensure accurate and efficient performance.
• Collaborate with cross-functional teams to understand data requirements in supply chain and production contexts.
• Establish best practices for Power BI architecture and embed solutions in the Henkel Data Platform (Azure + Databricks).
• Strong hands-on experience with Power BI development and analytical reporting/data visualization (2+ years required).
• Ability to transform complex data from multiple sources into actionable insights.
• Proficiency in MS Office and fluency in English.
• Collaboration and communication skills to work with business stakeholders and international teams.

申请策略

• Tailor your cover letter to demonstrate your understanding of supply chain analytics and how Power BI can drive business value.
• Prepare to discuss a past project where you turned complex data into a clear, impactful dashboard.
• Emphasize your hands-on Power BI development experience with specific examples of dashboards and data models you built.
• Highlight any experience with Azure analytics suite and Databricks, as well as SQL skills.
• Showcase your ability to work with cross-functional teams and influence stakeholders.
• If you have a supply chain or logistics background, make it prominent.
• If not already familiar, take online courses on Azure Data Services (e.g., Azure Synapse, Data Lake) and Databricks.
• Practice advanced Power BI features like DAX, Power Query, and embedding solutions.

面试指南

• Use the STAR method (Situation, Task, Action, Result) to structure answers, focusing on technical execution and business value.
• For optimization questions, discuss identifying bottlenecks (e.g., data model size, DAX queries) and solutions (e.g., aggregations, partitioning).
• Describe a Power BI dashboard you built from scratch. What was the data source, design process, and business impact?
• How would you approach optimizing a slow-performing Power BI report?
• Tell us about a time you had to collaborate with non-technical stakeholders to define reporting requirements.
• How do you stay updated with new features and best practices in Power BI?
• What experience do you have with Azure or Databricks? Can you give an example?
• Review Henkel's supply chain and consumer brands to understand potential data challenges they face.