About Us
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Headquartered in Singapore, SATS Ltd. (SGX stock code: S58) 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
Key Responsibilities
| • Design, develop and implement datasets, models, as well as support to interpret and present statistical outcomes to support the organisation’s operations and execution of key business strategies • Design and conceptualize solutions that address the organisation’s challenges through use of data analysis and governance of large amount of data • Implement solutions using the Power Platform stack, build data pipelines and functions for visualisation and business analytics supporting the business and respective product owners • Knowledge of analytics to support and contribute to database implementation and systems, devising strategies to promote continuous improvement • Deliver accurate regular and ad-hoc performance tracking and analysis to drive traffic, transactions and processes • Make data management recommendations based on data and industrial practices |
Key Requirements
| • Undergraduate in Information Systems, Business / Data Analytics, Information Technology or Computer Science • Understanding of and experience using data visualisation concepts, techniques and tools, such as Microsoft Power BI • Experience in developing data solutions based on established patterns and best practices for database integration with Power Platform stack (Power BI, Power Apps, Power Automate, Power Query) • Working knowledge of data mining principles: mapping, collecting data from multiple data systems on premises and cloud-based data sources • In-depth understanding of and experience in designing structured and unstructured, SQL and NoSQL data repositories • Experience working with, creating and maintaining databases and repositories using state-of-the-art data backup, rollback and version control solutions • Proficient with data processing methods and technologies / tools. Azure Cloud proficiency will be an advantage • Highly motivated, structured and methodical with high degree of initiative • Strong problem solving, quantitative and analytical abilities • Excellent written and oral communication skills. • Able to work independently or cross functionally • Able to commit full-time (5 days a week) for minimum of 6 months |