Business Intelligence Support Specialist
You are enthusiastic about data engineering and want to help in supporting and optimizing business intelligence solutions. You have a basic understanding of business intelligence in the cloud and a strong desire to learn, particularly in areas such as data pipelines, error management, and visualization.
* Serve as the primary point of contact for customer inquiries regarding our business intelligence solutions.
* Handle support requests independently through the ticket system, actively contributing to solution development.
Collaborate with the support team to maintain, enhance, and ensure the reliability of our business intelligence systems hosted in the cloud.
Optimize and manage cloud data services, including Azure Data Factory, Azure Databricks, and Azure SQL Database, as well as Power BI for data analysis and visualization.
Monitor and troubleshoot data pipelines to ensure seamless and efficient operations.
Stay updated with advancements in cloud technologies through continuous learning.
Provide insights and recommendations for best practices in data management and system optimization.
Participate in knowledge-sharing activities, learn from experienced team members, and progress along a structured career development path.
Requirements
* Excellent problem-solving skills and attention to detail.
* Strong communication and collaboration abilities.
* Passion for data engineering and business intelligence.
* Hands-on experience with Microsoft Power BI or other reporting tools.
* Fluent English and German written and spoken.
* Strong willingness to learn and grow.
* Knowledge of SQL and relational databases.
* Ability to work effectively in a fast-paced, dynamic environment.
* Being open-minded, motivated, and self-organized.
Nice to Have
* Hands-on experience with cloud platforms, particularly Microsoft Azure.
* Familiarity with programming languages such as Python, Scala, Java, C#.
* Bachelor's or Master's degree in computer science or business administration or related field.
* Knowledge of data modeling techniques and data warehousing concepts.
* Knowledge of basic ERP processes in the frontend.
Application Process
* Please send us your CV.
* An online introduction meeting to get to know each other.
* A second meeting for details.
* A final meeting plus signing the contract.