• Build machine learning models to help forecast business trends; • Design and optimize data pipelines and workflows that transform raw data into actionable information; • Use generative AI tools to accelerate prototyping, analysis, and documentation; • Build clear dashboards and reports in Power BI; • Ensure data and processes are well documented and easy for others to understand; • Collaborate with cross-functional teams to align technical and business requirements.

• A solid and innovative company with a strong market presence. • A dynamic, diverse, and multicultural work environment. • Leaders with deep market knowledge and strategic vision. • Continuous learning and development.

• Auditing and monitoring the accuracy, integrity, and flow of marketing data generated by the firm's digital marketing campaigns. • Working internally with marketing, intake, and client services teams, in addition to external communications with ad platform vendors and co-counsel. • Audit, analyze, and reconcile lead and client records against digital marketing campaign data. • Set up, maintain, and troubleshoot digital marketing campaigns (paid search, paid social, display). • Maintain and monitor integrations between marketing platforms and the firm's data warehouse. • Identify and resolve duplicate leads/matters or clients who do not meet requirements. • Coordinate and manage meetings and correspondence with ad platform vendors and third parties. • Identify the origin of deficiencies in marketing or intake data and flag process or integration issues. • Maintain a keen understanding of lead sources as they relate to marketing spend, campaign performance, finance, and platform integrations. • Manipulate large datasets to identify problematic, deficient, or mismatched data.

• Supported BCBS239-compliant data governance, documentation, and regulatory reporting initiatives related to securitisation. • Documented end-to-end data lineage and data governance processes to ensure regulatory compliance. • Executed and supported User Acceptance Testing (UAT), including test automation activities. • Analyzed and mapped business requirements to data and reporting solutions. • Reviewed and validated data requirements, ensuring completeness and alignment with business needs. • Provided support for data products, resolving data-related issues and enhancing data usability. • Collaborated with Treasury, Product Owners, Business Intelligence, and IT teams to define accurate source-to-target mappings. • Implemented and monitored data quality controls to improve data accuracy and consistency.