<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Your tasks:</p><p><br/></p><ul><li>Act as the central data expert and Business Data Steward for the German Mortgages business.</li><li>Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.</li><li>Deliver portfolio analytics, forecasting, scenario analysis and ad hoc management reports to support strategic initiatives, product enhancements and business growth.</li><li>Serve as the key interface between Mortgages and the Business Intelligence team, translating business requirements into data, reporting and dashboard solutions.</li><li>Design, develop and maintain Power BI dashboards, reports and monitoring tools, while driving automation and efficiency in reporting processes.</li><li>Own and maintain data definitions, business rules, Critical Data Elements (CDEs) and data standards across the Mortgages function.</li><li>Ensure consistent use of data, high data quality and adherence to agreed business logic and controlled data sources.</li><li>Define and monitor data quality controls, investigate data issues and coordinate corrective actions with data, technology and business stakeholders.</li><li>Support projects, change initiatives and continuous improvement activities as the primary contact for data-related topics.</li><li>Promote data literacy and a data-driven culture across the Mortgages department.</li></ul><p><br/></p><p>Your knowledge/experience:</p><p><br/></p><ul><li>Bachelor’s degree in Business, Information Technology or a related discipline.</li><li>Several years of experience in Data Science, Data Analytics, Business Intelligence, Portfolio Analytics or Data Stewardship, ideally within banking, mortgages or financial services.</li><li>Strong analytical, problem-solving and stakeholder management skills, with the ability to translate business needs into actionable insights and recommendations.</li><li>Advanced experience with Power BI, SQL, Databricks (Python/PySpark) and handling large and complex datasets.</li><li>Good understanding of Azure-based data environments, including data warehousing, ELT processes, Databricks, Unity Catalog, cluster configuration and Azure Data Factory (ADF).</li><li>Sound knowledge of data governance, data quality management, data lineage, Critical Data Elements (CDEs) and data ownership principles.</li><li>Experience working with multiple source systems, complex data flows and cross-functional teams across business, technology and BI functions.</li><li>Fluent in spoken and written English.</li></ul><p><br/></p> </div>