Data Analyst (m/f)

Responsibilities: - Design and manage data lakes and data warehouses, ensuring efficiency and scalability - Develop, implement, and optimize ETL processes - Create compelling data visualizations and reports using tools like Power BI - Utilize existing machine learning models effectively for data analysis and insights - Ensure high data quality and implement automation for data processes

Qualifications & Requirements: - Strong expertise in the design and implementation of data lakes and data warehouses - Proficient in developing and managing ETL processes - Experience in data visualization and reporting, preferably with Power BI - Practical knowledge in the use of existing machine learning models for data analysis - Good understanding of descriptive, diagnostic, predictive, and prescriptive analytics - Proficiency in data management, quality testing, and automation - Solid understanding of Microsoft Data Stack in Azure and knowledge of Azure Synapse Analytics - BS in Mathematics, Economics, Computer Science, Information Management, or Statistics - High proficiency in English - Experience in work with Azure DevOps Server - Very good knowledge of English language - The willingness to learn - Get stuff done attitude Advantages (not conditions) for Selection: - In-depth experience with Microsoft Azure services, especially in data management and analysis - Certifications in Microsoft data roles, such as Azure Data Engineer, Azure Data Scientist, or Azure Database Administrator - Familiarity with Generative AI and the use of OpenAI services