Data Analyst, Logistics & Distribution

About Us

About SATS

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

The Role

The Data Analyst will be responsible for providing insights into the SATS Supply Chain (focusing on Logistics and Distribution) across multiple business units, providing both ad-hoc data analytics as well as the development and preparation of regular KPI and Supply Chain metrics. The role will also facilitate and support continuous improvement activities in the scope of Logistics & Distribution with analytics, analysis, process transformation, innovation and deployment of technology, where relevant and applicable.

Key Responsibilities

1. Partnering with cross-functional teams and/or 3rd party service providers to support/lead improvement projects.
2. Participate and support process and system analytical analysis, concept development, design, communication, KPI measurement, monitoring & reporting.
3. Building, testing, and releasing dashboards following the SATS Corporate guidelines on visualization and data security. Provide continuous support and maintenance to operative dashboards.
4. Conduct ad-hoc data analytics for various logistics and warehousing topics to provide insights and assist in identifying and solving issues being faced.
5. Assist in training the wider SATS L&W community on data analytics to improve the overall team's capability.

Key Requirements

1. Degree in Supply Chain or related field preferred.
2. Minimum 3 years related experience working as a Data Analyst with deep experience preparing data and analyzing to provide insights.
3. Experience in data analytics within a supply chain function is highly valued.
4. Prior experience working in SAP S/4 and any Supply Chain Planning and Optimization systems.
5. Strong analytical and modeling skills with extensive data analysis (Excel/Access or more advanced tools) and strong mathematical abilities.
6. Knowledge of statistical theories and methods is advantageous.
7. Strong analytical and problem-solving skills grounded in continuous quality improvement required.

Work Location

31 International Business Park, #03-03. Singapore 609921.