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Relation clients :
- Écoute et compréhension des besoins des clients.
- Suivi de la relation avec les clients et participation éventuelle aux réunions clients.Collecte de données :
Collecte de données en fonction du besoin du client.
- Analyse des parcours clients.
- Rédaction de recommandations de collecte de data ou d’activation CRM (acquisition et/ou fidélisation).
- Imagination et conception de mécaniques créatives et efficaces (brainstorms).
Lancement des campagnes :
- Pilotage opérationnel de nos campagnes emails, SMS, push notifications et suivi de performance par rapport aux prévisionnels. Les outils de marketing automation n’auront plus de secret pour vous (Adobe Campaign, Salesforce…).
Suivi des performances :
- Analyses chiffrées et bilans post opération.
- Coordination entre les différentes équipes internes : designers, chefs de projets, développeurs, data analysts…

Support the development, optimization and validation of new analytical methods for nanoparticle characterization (e.g. size, morphology, surface properties, aggregation).
Perform laboratory experiments under supervision, including sample preparation, instrument operation, and data acquisition.
Analyze and interpret experimental data using appropriate software tools; summarize findings in clear data tables and figures.
Contribute to method documentation (SOP drafts, method development reports, experimental logs).
Collaborate with cross-functional colleagues in DPD to understand project needs and align analytical work with development objectives.
Present results in team meetings and contribute to scientific discussions on method performance and next steps.
Adhere to laboratory safety, data integrity and quality standards at all times.

Support the design and enhancement of the RFQ2IMPAT workflow management tool by translating business requirements into solution concepts and process improvements.
Develop and document new user requirements, business rules, approval flows, fields, forms and workflow logic tailored to DHL Freight processes.
Create mock-ups, process diagrams, user stories and functional specifications for system development.
Analyze existing DGF functionality and identify adaptation opportunities for Freight products, services and organizational structures.
Coordinate and execute User Acceptance Testing (UAT), including test case creation, defect documentation and validation of implemented changes.
Support data analysis, reporting requirements and dashboard concepts to improve visibility and management of tender and implementation activities.
Prepare user documentation, training materials and communication packages for business users.
Assist the project team during implementation, training sessions, pilot rollouts and ongoing process optimization.

Support the commercial strategy team with data analysis and business performance deep-dives
Help identify growth opportunities and operational improvements through data-backed insights
Assist in building and improving internal tools, processes, and reporting frameworks
Collaborate with local and HQ teams on strategic initiatives and new product rollouts
Work closely with sales and commercial teams to support performance tracking and execution
Partner with other markets to share learnings and best practices
Contribute to projects that improve restaurant and partner operations

Support the advancement of anomaly detection in the ETRM by utilizing available internal tools or developing algorithms to verify the accuracy of transactions entered in the ETRM, using historical trades and market data as references
Ensure project documentation and methodologies are fully formalized, maintained, and kept up to date
Own, maintain, and enhance existing codebases solutions, ensuring their continuity, scalability, and long-term support. hands-on experience developing with LLMs (e.g. Claude, prompt engineering, AI-assisted coding) required
Contribute to the design and deployment of automation and AI solutions for Market Risk, identifying innovative opportunities to enhance project efficiency and strengthen historical risk control processes
Assist the team in analysing and reporting Operational Risk events and perform forensic and root cause analysis
Supported the standardization of AI solutions, accelerating business adoption and scalability.

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