Minor Hotels Europe and Americas

Sales

• Participer à l’élaboration des prévisions de vente mensuelles et annuelles pour les différentes marques du groupe Puig
• Interlocuteur privilégié du service marketing, commercial et des opérations pour fiabiliser le taux de service
• L’analyse des historiques de vente (Sell In et Sell Out)
• L’analyse des stocks (internes et externes) afin de garantir la meilleure fiabilité possible
• L’élaboration des prévisions de ventes court et moyen terme en prenant en compte les évènements exceptionnels
• L’élaboration des volumes promotionnels avec le marketing et le commerce
• L’explication des KPIs (forecast accuracy / écarts des forecast vs ventes réelles)

Sales Operation Planner – Stage

Recruitment

• Assist in the end-to-end recruitment process for graduate roles.
• Screen resumes, conduct initial candidate assessments, and coordinate interviews with hiring managers.
• Maintain strong communication with candidates to ensure a positive experience.
• Support onboarding activities for new hires, ensuring a smooth transition into the company.
• Assist with maintaining employee records and updating the Applicant Tracking System (ATS).
• Provide support in other HR areas, such as training and HR operations.

Talent Acquisition – Graduate Program

• Definir y ejecutar la estrategia comercial nacional
• Desarrollar y gestionar relaciones con clientes clave, incluidos distribuidores y tiendas por departamentos
• Negociar acuerdos estratégicos que aumenten la visibilidad de la marca, rentabilidad y expansión en el mercado
• Liderar, motivar y desarrollar al equipo de ventas, asegurando un enfoque orientado a resultados y excelencia operativa
• Participar activamente en los procesos de presupuestación, incluida la preparación de estimaciones mensuales y anuales, así como pronósticos de ventas
• Trabajar estrechamente con los equipos de Marketing, Operaciones, Finanzas, Legal y Recursos Humanos, asegurando una ejecución integral alineada con la estrategia de la filial
• Impulsar el crecimiento con una fuerte orientación a resultados en el punto de venta

Sales Manager

Data Scientist

• Lead the data science team under agile environment and drive a solution-oriented, collaborative team culture and ensuring timely, quality delivery
• Coach, mentor, and develop the team to continuously elevate technical depth and business insight
• Ensure full quality and sustainability of every data science product and solutions developed by APMEA D&A team
• Develop and evaluate predictive, prescriptive, and causal models (segmentation, churn propensity, uplift modelling, forecasting, clustering etc.)
• Perform data exploration, feature engineering, hypothesis testing to support business questions
• Ensure E2E model lifecycle execution: problem framing → data exploration → modeling → validation → deployment
• Contribute to high level engagement and collaborate with Business Analyst to perform feasibility study, delivering POC and provide consultation and recommendation to stakeholders
• Ensure models in production remain stable, monitored, and continuously improved
• Effectively manage multiple concurrent project and requirement timelines in fast paced business environment
• Provide SME-level guidance on modelling techniques and standard processes for other indirectly involved projects
• Extraction and manipulation of raw datasets from Data Warehouse (Fabric) and other sources using T-SQL and Python
• Work with Data Engineers to optimize datasets and pipelines needed for modeling
• Ensure analytical assets meet reproducibility, auditability, and integrity standards
• Drive collaborator alignment, manage expectations, and ensure analytical recommendations influence commercial and operational decision-making
• Collaborate with Solution Managers and/or business stakeholders to understand the demand
• Work with BI Developers to visualize model outcomes and analytical insights
• Collaborate with Business Analysts to translate business requirements into analytical frameworks
• Support PoCs, feasibility studies, and consultative engagements
• Develop clear modelling documentation and maintain version control of scripts
• Ensure data quality, variable definitions, and modelling logic adhere to internal standards
• Conduct validation checks on data integrity and analytical accuracy
• Support responsible AI practices including explainability and fairness
• Build data governance checkpoints and contribute in optimizing operating model
• Stay updated on new modelling techniques, analytics tools, and data science frameworks
• Suggest improvements to data flows, modelling processes, or analytical tooling
• Contribute to team learning sessions and collaborative knowledge sharing
• Define and maintain internal processes and quality standards documentation to ensure process controls and audits are up to date and aligned to BAT standards

Data Science Manager

• Cung cấp lời khuyên cho lĩnh vực hoạt động về kế hoạch thuế, quản lý và tuân thủ theo luật thuế Việt Nam và các kiểm soát nội bộ của BAT, đảm bảo tất cả thông tin và tài liệu cho các giao dịch giữa/công ty đều được thu thập và ghi lại đúng cách để đảm bảo tính khấu trừ thuế.
• Phối hợp các cuộc họp Ủy ban Thuế & Kho bạc và triển khai chiến lược Kho bạc phù hợp với Hướng dẫn của Tập đoàn.
• Quản lý rủi ro FX dựa trên chuyên môn về việc tiếp xúc cơ bản, sản phẩm phòng hộ FX và định giá, đồng thời phân tích các dự báo dòng tiền ngắn hạn và dài hạn và yêu cầu FX để đề xuất các cơ hội cải thiện khả năng lưu chuyển tiền và quản lý thanh khoản trên tất cả các pháp nhân.
• Thúc đẩy độ chính xác của dự báo dòng tiền bằng cách làm việc chặt chẽ với các chức năng liên quan và thương lượng các đường tín dụng/đảm bảo dòng và định giá (ví dụ: lãi suất tiền gửi, chi phí lãi suất).
• Thực hiện các yêu cầu bảo hiểm phù hợp để che phủ các rủi ro kinh doanh và xem xét các quy trình tài chính hiện có, kiểm soát và các bài kiểm tra hiệu quả hoạt động dưới quy trình ICFR, bao gồm phối hợp kiểm toán bên ngoài với người sử dụng ICFR.

Tax, Treasury & Internal Control Manager

• As part of the tax reporting team, providing technical guidance on tax matters related to accounting and regulatory development both with respect of actual reporting and forecasting
• Collaborate with the wider tax reporting team to integrate evolving requirements into existing processes
• Work with the wider tax reporting team to proactively monitor accounting standards and regulatory requirements (e.g. UK Listing, Securities and Exchange Commission) ensuring that corporate tax reporting is aligned with the changing regulatory and accounting framework
• Updates to internal policy manuals for tax regulatory or tax accounting change ensuring consistency and clarity
• Contribute to proposal papers on the application of tax enhancements, accounting and regulatory developments ensuring technical accuracy, impact analysis on primary statements, KPIs and Non-GAAP measures
• Support the team in drafting of proposed disclosure requirements and clear articulation of risks and mitigations
• Collaborate on tax assessing differences across all accounting and regulatory updates to include how these impact tax KPIs e.g. effective tax rate and tax Non-GAAP measures
• Work as part of the tax reporting team to review actual and forecast data from the Group’s reporting system within timeline to ensure accurate application of tax accounting and regulatory changes
• Support the development of system capabilities that enable efficient compliance with accounting and regulatory developments across the Group, including actuals reporting, true up procedures and forecasting
• Contribute to drafting and maintaining business processes for annual and interim actual reporting and for forecast tax rate reporting, in accordance with accounting and regulatory developments
• Assist in developing and complying with SOx controls associated with tax reporting processes
• Ensuring all new developments are built into the tax reporting timetable and that appropriate business as usual resourcing plans are proposed and implemented to support governed changes
• Collaborate on creating and delivering training and communication plans to the Global Tax & Finance function promoting awareness and understanding of changes
• Coordinating consistent compliance to accounting and regulatory changes across end markets

Corporate Tax Specialist

Manager

• Serve as the primary liaison between the client and internal teams.
• Manage end-to-end project delivery, ensuring scope, timelines, and quality standards are met.
• Develop and maintain strong client relationships, understanding their business needs and objectives.
• Drive account growth through upselling and cross-selling opportunities.
• Monitor project financials, including budgeting, forecasting, and profitability.
• Coordinate with technical teams to resolve issues and ensure smooth execution.
• Prepare and present status reports, dashboards, and executive summaries to stakeholders.
• Ensure compliance with contractual obligations and organizational policies.

Engagement Manager

Data Engineer

• Design and implement batch and streaming data pipelines on Azure Databricks (PySpark); author Spark SQL for transformations and analytics.
• Orchestrate workflows with Azure Data Factory and/or Synapse pipelines; integrate with Lake Storage.
• Model and maintain lakehouse structures (e.g., Delta Lake), ensuring robust partitioning, schema evolution, and performance.
• Implement data quality checks, observability, and SLAs across pipelines.
• Optimize jobs for cost and performance (cluster sizing, caching, shuffle reduction, partition strategy).
• Collaborate with architecture/platform teams on CI/CD (Azure DevOps), secrets management (Key Vault), and security (RBAC, PIM).
• Contribute to governance and metadata practices; document lineage and technical design.
• Support release cycles, incident triage, and production hardening; drive continuous improvements.

Azure Data Engineer – Pyspark

AI Engineer

• Design and architect an AI-enabled optimization solution that integrates with third-party engines to automate back-office processes
• Design the overall architecture for the agentic AI platform leveraging company AI assets and solution accelerators
• Define integration patterns between LLMs, specialized models, and external engines
• Establish AI governance frameworks and responsible AI controls
• Create technical specifications for agent orchestration and workflows
• Ensure solution meets security, PII, scalability, and performance requirements
• Guide the development team on AI implementation best practices
• Design explainability components for AI-driven decisions

Gen AI Architect

Analyst

• Develop and maintain BC and DR standards, procedures, methodologies and templates
• Develop testing schedules and gain approval from all stakeholders, including ITO management, recovery team leads, affected clients, etc.
• Develop and gain approval for ITO BC and DR Exercise Plans that define the scope, objectives and performance details of the planned exercises
• Work with the recovery teams and selected clients to prepare them to execute the Exercise plan, ensure they have sufficient resources, and are committed to supporting the exercise and are prepared to achieve all objectives of the exercise
• Coordinate the execution of the Exercise plans per the execution checklist while collecting performance data to support reporting of results, identifying issues, and moving the recovery team toward successful completion of the exercise
• Conduct Post Exercise meetings with recovery team leads and selected clients to identify and document issues related to recovery technologies, processes and support issues
• Identify root causes of recovery issues and ensure the development and execution of plans to mitigate the issues so that continuous improvement in the recovery program is achieved
• Determine if retesting of the entire exercise plan or selected portions is needed based on issues encountered
• Update the BC and DR plans using the information gathered from the exercise and republish and distribute to recovery team leads and ITO management as approved
• Maintain testing and recovery records in a controlled repository, and control access to and distribution of the results to authorized personnel and organizations
• Perform appropriate steps as described above for the following conditions
• At least once a year conduct an exercise to support ongoing testing and maintenance of the plans, or for compliance with client contracts
• When new clients or changes in contracts with existing clients change the level of BC and DR requirements
• When recovery strategies change that improve the BC and DR recovery process
• Whenever changes occur in technologies, services, or organizations that result in the need to improve readiness
• Use the same or similar recovery activities for an actual and unplanned disaster event as declared by ITO management

Disaster Recovery Analyst

Software Engineer

• Design, develop, and optimize enterprise-grade API solutions using Apigee (Edge & Hybrid)
• Architect API proxies, policies, and shared flows/templates leveraging OpenAPI/Swagger standards
• Implement and maintain secure API integrations (mTLS, OAuth/JWT, encryption, certificate lifecycle management)
• Collaborate cross-functionally with product and architecture teams
• Focus on governance, performance optimization, observability, logging, and analytics

APIGEE Developer

Platform Engineer

• Design and develop data pipelines and models using Microsoft Fabric and OneLake, with a strong focus on interoperability and performance.
• Collaborate with cross-functional teams (Product Owners, Azure Solution Architects, Data & Software Engineers) to drive a Fabric-native data platform that integrates seamlessly with Power BI.
• Enable modern data architecture patterns, including Lakehouse, near real-time streaming, schema evolution, and efficient serialization in messaging and APIs.
• Maintain and automate scalable data pipelines, emphasizing performance, metadata consistency, and optimal use of storage formats such as Parquet within the Microsoft ecosystem.
• Champion DevOps practices, implementing CI/CD pipelines (via Azure DevOps or GitLab Pipelines) and Infrastructure-as-Code for consistent, secure deployment of Fabric-based solutions.
• Monitor and optimize platform performance using observability tools, ensuring health, reliability, and cost-efficiency.
• Drive cloud migration and modernization efforts, guiding the transition to Microsoft Azure and Fabric.

Data Platform Engineer

Artificial Intelligence

• Serve as a trusted advisor to leadership, define and operationalize the data governance operating model.
• Drive adoption of best-in-class governance tools, processes, and standards across the organization.
• Define, evolve, and operationalize the enterprise data governance and AI governance strategy , aligned to business outcomes, regulatory expectations, and technology roadmaps.
• Design and implement a scalable Data Governance Operating Model encompassing roles, responsibilities, processes, decision rights, and KPIs.
• Evaluate, recommend, and implement AI governance tools and platforms , including model governance, monitoring, and compliance solutions.
• Partner with legal, risk, compliance, security, and technology teams on AI governance controls and accountability models.
• Drive enterprise-wide adoption of governance standards through change management, communication, and enablement.

Data & AI Governance Implementation – Watsonx.governance, Credo.ai

• Perform end-to-end Major Incident Management for complex, integrated e-commerce and retail systems
• Conduct rapid impact analysis, coordinate cross-functional technical teams, and restore critical services through systematic troubleshooting and technical leadership
• Govern the enterprise-wide IT Service Management operations including Problem, Change, Knowledge, Risk, and Configuration Management under ITIL and Agile frameworks
• Work with Service NOW team to design and implement the processes in the tool as per the business needs
• Develop and govern Change Advisory Board (CAB) procedures, validate change plans, and ensure alignment with enterprise compliance and availability requirements

Major Incident Manager

QA Engineer

• Collaborate with development teams to ensure seamless integration and delivery of applications
• Monitor and optimize system performance, reliability, and scalability
• Implement security best practices and ensure compliance with industry standards
• Troubleshoot and resolve infrastructure-related issues
• Document infrastructure configurations and procedures
• Stay updated with the latest industry trends and technologies to continuously improve our infrastructure