Data & Analytics Consultant (Power BI)

Responsibilities

• Designing and implementing scalable data platforms, data warehouse, and analytics solutions for clients and internal products—covering everything from data integration to delivery for reporting, BI, and advanced analytics.
• Designing technology-agnostic target architectures for data warehouses, data lakes, and modern data platforms, and translating business requirements into robust technical concepts.
• Developing and optimizing data pipelines using modern data pipelining and ETL/ELT technologies (e.g., Microsoft Fabric, Azure Data Factory, SSIS) while ensuring data quality, performance, and operational reliability.
• Analysing client requirements and providing advice on data strategies, integration scenarios, and analytics use cases—from initial concept to production-ready solution.
• Collaborating closely within interdisciplinary teams, actively sharing knowledge, and contributing to the further development of the data & analytics consulting portfolio.
• Fostering a data culture by communicating the value of data-driven decisions and contributing to the continuous modernization of clients' analytics landscapes.

Profile / Skill Requirements

• Degree in Computer Science, Business Informatics, or a comparable qualification, plus at least three years of practical experience in the data & analytics field (ideally in consulting or software engineering).
• Solid experience in data integration and building data warehouse, data lake, or data platform solutions, combined with a strong interest in making data optimally usable for analytics and reporting.
• Experience designing and implementing data pipelines; ideally, familiarity with tools such as Microsoft Fabric, Azure Data Factory, and SSIS.
• Proficiency in software development with Python, as well as experience using build and version control tools and setting up CI/CD pipelines (e.g., with Git).
• Strong communication and collaboration skills; ability to communicate effectively with diverse stakeholders and explain complex technical concepts in an understandable way.
• Knowledge of common data modeling methods (e.g., dimensional models) as well as experience with the Azure cloud platform in the context of data and analytics solutions.

Skills Required
Git, Azure Data Factory, Ssis, Python