Data Analyst

h3BI Data Analyst Expert /h3 pWe're seeking a visionary BI Data Analyst / Engineering Expert with a proven track record in banking transformation to lead a high-impact digital evolution. If you thrive at the intersection of business strategy, cutting-edge analytics, and technical innovation, this is your opportunity to redefine how data drives decisions for Corporate Banking's Sales, Metiers, and Leadership teams. /p pYour Mission: From Legacy to Leadership /p pUnder the (Cluster) Product owner's guidance, you'll spearhead the end-to-end modernization of our BI and reporting ecosystem—transitioning from SAS/SQL, Alteryx, and JavaScript/React to a future-proof Power BI platform integrated with Microsoft Dynamics 365. /p pThis isn't just a migration; You won't just build reports; it's a strategic reinvention of how data flows, insights are delivered, and business value is unlocked. /p h3What We’re Looking For /h3 ul liA seasoned BI Data Engineering expert with deep banking transformation experience. /li liA strategic thinker who can assess legacy systems, data flows, and business needs—contributing to architecting a scalable, future-ready solution. /li liA change agent who excels in guiding teams through technical transitions while ensuring business continuity and adoption. /li liA collaborative leader who bridges the gap between technical execution and business vision. /li liReady to transform data into a strategic asset? Let's build the future—together /li /ul h3Function description /h3 ol libStrategic Banking Transformation (ETL visualisation modernisation) /b ul liLead end-to-end banking data transformations, with a focus on strategic planning and migration from legacy ETL workflows to Power BI-centric architectures. /li liDrive adoption roadmaps for scalable, future-proof BI solutions, ensuring alignment with enterprise data governance and regulatory requirements. /li /ul /li libPower BI Architecture Team Upskilling /b ul liDesign and enforce a scalable Power BI architecture, including: /li liCoaching mentoring team members to adopt Power BI best practices (e.g., performance optimization, security, deployment strategies). /li liUpskilling teams in advanced DAX development (complex calculations, time intelligence, dynamic measures) and Power Query/M (efficient data transformation, custom functions). /li liPromoting reusable templates, standardized patterns, and collaborative development (e.g., shared datasets, Power BI Premium capacities). /li /ul /li libData Modeling Analytical Framework /b ul liTranslate business requirements into optimized data models for analytics and reporting, including: /li liDimensional modeling (star/snowflake schemas) simplify cross-platform complexity. /li liLogical/physical data layer design ensuring performance, scalability, and maintainability. /li liMetadata management for traceability (lineage, ownership, refresh cycles). /li /ul /li libETL Pipeline Data Integration /b ul liOwn source-to-target mapping and ETL/ELT pipeline optimization, with expertise in: /li liSAS, SQL, Denodo VQL for high-performance data extraction, transformation, and loading. /li liData quality controls (validation rules, anomaly detection, reconciliation processes). /li liSeamless integration of new data sources with minimal latency and maximum reliability. /li /ul /li libDocumentation Governance /b ul liEstablish and enforce documentation standards for: /li liDatasets (business definitions, technical specifications, refresh policies). /li liWorkflows (ETL logic, Power BI reports, dependency mappings). /li liNaming conventions and metadata tagging to ensure discoverability, reusability, and auditability across teams. /li /ul /li libTesting, Validation Technical Debt reduction /b ul liOrchestrate coexistence between legacy systems and new Power BI ecosystems during transition phases. /li liDevelop reusable transformation patterns and consistent business logic across workflows to minimize technical debt. /li liDesign test cases, validate outputs with stakeholders, and document changes for traceability. /li liProactively identify and remediate performance bottlenecks, data inconsistencies, or integration gaps. /li /ul /li /ol h3Language requirements /h3 pFluent knowledge of English as well as (at least) one local language /p h3Education /h3 pMaster or equivalent experience /p pStrong analytical mindset /p h3Required experience / knowledge /h3 pAt least 5 years of relevant experience /p h3Technical experience mandatory /h3 pbPower BI stack /b : Advanced: DAX, Power Query/M, Premium capacities, deployment pipelines, XMLA endpoints SQL language /p pbData modeling /b : Star/snowflake schemas, dimensional modeling, Power BI dataflows /p pbETL tools /b : Alteryx, SAS, SQL, Denodo VQL, SSIS (legacy), Azure Data Factory (plus) /p