About Us
Headquartered in Singapore, SATS Ltd. is one of the world’s largest providers of air cargo handling services and Asia’s leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines and institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines.
SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 225 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg
Why Join Us
At SATS, people are our greatest asset and we build our success on the knowledge, expertise and performance of every contributor, by embracing diversity and uniqueness. As part of our holistic approach and commitment to embracing FAM (Fulfilling, Appreciated, Meaningful) in the workplace, we offer the runway to develop Fulfilling careers that foster your career growth, recognising and Appreciating the strength of talent and capabilities that we continue to build internally; and inspiring and encouraging each other to make Meaningful contributions in the work we do at SATS.
Key Responsibilities
• Partner with business stakeholders to understand business objectives, operational challenges, KPIs and analytical requirements, and translate them into effective data, BI and AI solutions.
• Support the end-to-end delivery of data, analytics and AI initiatives, encompassing requirements definition, solution design, development, implementation and continuous enhancement.
• Design, develop and maintain BI dashboards, reports and analytical products, primarily using Power BI or equivalent modern BI tools, to support enterprise reporting, operational analysis and decision-making.
• Analyse and interpret complex datasets to identify trends, patterns and actionable insights that support data-driven decision-making.
• Develop clear and intuitive data visualisation and storytelling to communicate complex information effectively to business stakeholders.
• Develop data processing, analytics, automation and AI-related components using SQL and Python.
• Explore and support the development of Generative AI and Agentic AI solutions, including LLM-powered applications, intelligent workflows and AI-enabled analytics use cases.
• Drive continuous improvement of BI, analytics, data and AI development standards, platforms and processes.
• Keep abreast of emerging developments in analytics, cloud and AI technologies and identify opportunities to apply them to business and operational challenges.
Key Requirements
• Experience in modern BI tools, preferably Microsoft Power BI, with experience in dashboard development, data modelling, data transformation and data visualisation. Experience with Tableau or equivalent BI platforms is also relevant.
• Experience in python programming skills, with the ability to develop structured, maintainable and reliable solutions.
• Experience in SQL and working with relational and analytical databases.
• Strong communication and stakeholder management skills, with the ability to work effectively across business and technology teams.
• Good knowledge of data engineering, including ETL/ELT, data pipelines, data modelling, APIs, data quality and data integration.
• Understanding of Generative AI and Agentic AI concepts, including LLMs, RAG, AI agents, tools and orchestration, would be advantageous.