Data Analyst
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Responsibilities:
-Lead the modernisation of legacy reporting and ETL workflows, ensuring business continuity throughout the transition. -Design a scalable Power BI architecture, applying best practices for performance, security, deployment, and reuse. -Translate business requirements into optimised analytical data models, including star and snowflake schemas. -Define source-to-target mappings, optimise ETL/ELT pipelines, and integrate data sources with appropriate data quality controls. -Establish documentation standards for datasets, business definitions, data lineage, refresh policies, and workflow dependencies. -Design test cases, validate outputs with business stakeholders, and resolve performance issues and data inconsistencies. -Coach team members on advanced DAX, Power Query/M, and collaborative Power BI development. -Collaborate with business and technical stakeholders to support adoption, governance, and continuous improvement. Must-have
requirements:
-5+ years of relevant experience in BI, data analytics, or data engineering. -Advanced expertise in Power BI, including DAX, Power Query/M, Premium capacities, deployment pipelines, and XMLA endpoints. -Strong SQL skills and experience in dimensional modelling, star/snowflake schemas, and Power BI dataflows. -Proven ability to translate business needs into reliable, maintainable analytical solutions. -Strong analytical, communication, coaching, and stakeholder collaboration skills. -A pragmatic, collaborative mindset, with a focus on quality, risk awareness, and knowledge sharing. -Fluency in English, plus Dutch and/or French. -Master’s degree or equivalent professional experience. Nice-to-have
requirements:
-Experience with banking data and BI transformation in financial services. -Knowledge of Alteryx, SAS, Denodo VQL, SSIS, and/or Azure Data Factory. -Experience integrating Power BI solutions with Microsoft Dynamics 365. -Experience working in Agile teams.
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