Senior Data Analyst

About the Role

We are looking for an experienced Senior Data Analyst to join our client's team and contribute to the development and expansion of its enterprise-wide Self-Service Analytics environment.

Key Responsibilities

• Design, develop, and maintain modern data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, and Semantic Models.
• Develop and optimize Power BI dashboards, reports, and analytical solutions, covering data modeling, DAX, visualization, and access management.
• Design, implement, and maintain scalable data transformation and modeling solutions using dbt.
• Develop centralized analytical data models based on Star and Snowflake schema principles.
• Explore and evaluate AI capabilities within Microsoft Fabric, identifying opportunities for automation, natural language querying, forecasting, and advanced data analysis.
• Work closely with business stakeholders to understand complex requirements and translate them into effective technical solutions.
• Establish and improve data governance frameworks, standards, processes, and access control structures.
• Support the adoption of Self-Service Analytics by developing reusable solutions, guidelines, and best practices.
• Contribute to the development and management of a technical community focused on Microsoft Fabric and Power BI.
• Organize knowledge-sharing sessions, training activities, and enablement initiatives.
• Coordinate project activities, priorities, dependencies, and potential risks within an agile delivery environment.
• Maintain comprehensive technical and functional documentation.

Required Qualifications

• 5+ years of experience working within the Microsoft BI ecosystem, particularly Power BI Service, Dataflows, Semantic Models, DAX, and M-Code.
• Strong practical experience with Microsoft Fabric and its core components.
• At least two project references demonstrating hands-on implementation of Microsoft Fabric solutions, including Lakehouse, Notebooks, and Pipelines.
• 5+ years of experience in data modeling, particularly Star and Snowflake schemas, using dbt.
• 5+ years of experience in implementing and maintaining data governance frameworks, including governance standards, roles, access management, and processes supporting Self-Service Analytics.
• At least one project reference involving Azure DevOps in a Microsoft Fabric environment.
• Native-level proficiency in German.

Nice to Have

• Previous experience working on projects within the railway or public transportation sector.
• 3+ years of experience establishing and supporting data communities, encouraging knowledge sharing, and driving the adoption of Self-Service Analytics.
• Experience working in agile environments, particularly SAFe and Scrum.

"bgts INT"