Global S&C Travel Manager

As a Manager for Trade & Capacity Analytics, you will lead delivery team in delivering high-value analytics solutions for our air freight and logistics clients. You will oversee end-to-end delivery of data-driven projects, mentor team members, interact directly with clients and senior stakeholders, and contribute to product innovation and operational excellence. This role combines technical depth, people leadership, and stakeholder engagement. Key Responsibilities Lead analytics projects and support multiple client deliverables, ensuring high-quality delivery output and meeting delivery milestones Directly manage, mentor, and develop a team of analysts and senior analysts Drive the design, implementation, and optimization of data solutions, models, and dashboards for cargo/trade forecasting and insights Engage with clients and senior business stakeholders to gather requirements, present findings, and manage expectations Ensure data quality, process standardization, and proactive problem solving across analytics workstreams Collaborate with cross-location teams (Amsterdam, Kuala Lumpur) and support continuous product enhancement Foster a culture of learning, innovation, and best practices within the analytics teamContribute to business development, proposal support, and internal capability building Qualification s Key Requirements To qualify, candidates must have: Bachelors degree (Masters preferred) in a quantitative field (e.g., information systems, computer sciences, data science, data engineering, econometrics, or similar) Minimum 6 years of professional experience in data management, analytics, or business intelligence, including 2+ years in a people leadership or project management role Demonstrated experience managing analytics/BI teams or cross-functional project teams Advanced proficiency in SQL and database management; hands-on experience with analytical models and techniques Strong client-facing, presentation, and communications skills Proven ability to drive complex analytics projects from requirements to delivery under tight timelines Strong problem-solving, organizational, and multitasking abilities Other Desired Skills: Experience with Python, data science, or machine learning tools and techniques Familiarity with Agile/Scrum or product development lifecycles Experience with cloud-based data platforms (e g , Azure, AWS, GCP) is an advantage Exposure to the air cargo, logistics, or transportation sector is a plus Other desired skills: Knowledge of Python or machine learning techniques is a plus Experience working in an Agile/Scrum environment Experience with cloud-based data technologies is a plus Air Cargo or Ocean Freight experience is a plus