Assistant Manager, Data Analytics SEA

DHL Supply Chain; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading logistics company in Singapore is looking for a skilled data analyst to develop innovative solutions that enhance transportation efficiency. You will gather and analyze data, prepare performance reports, and collaborate across teams to drive process improvements. Candidates should possess a relevant bachelor's degree and experience in the logistics industry. Join a diverse and inclusive workforce committed to excellence.

Qualifications

• Proven experience in data analysis, reporting, and solution development within the logistics industry.
• Strong analytical mindset with keen attention to detail.
• Ability to work independently and manage multiple projects.

Responsibilities

• Collaborate with teams to design innovative solutions.
• Gather, clean, and analyze transportation data.
• Prepare performance reports and dashboards.
• Collaborate with Finance for spend optimization.
• Evaluate and enhance existing processes.

Skills

Data analysis

Problem-solving

Communication skills

Excel

Tableau

Power BI

Python

Logistics knowledge

Education

Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, or a related field

Tools

Transportation Management Systems (TMS)

Warehouse Management Systems (WMS)

Job description

Responsibilities

Solution Development: Collaborate with the Operations and Distribution team to design and develop innovative solutions that align with customer requirements and DHL Supply Chain's service standards. Utilize your expertise in data analysis to identify opportunities for process optimization, route efficiency, and cost reduction.

Data Collection and Analysis: Take charge of gathering, cleaning, organizing, and analyzing transportation data from various sources, including transportation management systems (TMS), carriers, Warehouse management systems (WMS) and other relevant databases. Conduct thorough data analysis to identify trends, patterns, and performance metrics that influence transportation decisions.

Fleet analysis & optimization – Support the transport team by understanding and analyzing Fleet operational data to create high quality, insightful analytical products & synergies that enable the business to make proactive decisions.

Reporting and Performance Metrics: Prepare comprehensive transportation performance reports, dashboards, and key performance indicators (KPIs) for management and stakeholders. Use data insights to provide actionable recommendations for continuous improvement in transportation operations.

Spend Optimization: Collaborate with the Finance team to analyze spend and identify opportunities to optimize spend. Implement strategies for cost reduction and support the negotiation of contracts (e.g. carriers) to achieve cost-effective transportation solutions.

Technology and Automation: Stay updated with the latest management technologies and automation tools. Propose, implement, and optimize technological solutions to enhance data analysis, reporting capabilities, and overall transportation efficiency.

Continuous Improvement (CI): Evaluate existing processes and workflows (e.g. Warehouse, Transport), identifying bottlenecks and areas for improvement. Develop and implement process enhancements to streamline operations, reduce lead times, and enhance customer satisfaction. Assist team with creating CAPA where applicable, to strive for the best performance.

Cross-Functional Collaboration: Work closely with cross-functional teams, including Operations, Business Development, and IT, to ensure seamless integration with overall supply chain strategies. Be open to interact with customers and take them through the analysis, benefits and challenging the status-quo where applicable.

Qualifications

• Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, or a related field.
• Proven experience in data analysis, reporting, and solution development within the logistics industry.
• Advanced proficiency in data analysis tools such as Excel, Tableau, Power BI, Python (preferred) or similar software.
• Familiarity with transportation management systems (TMS), warehouse management systems (WMS) is an advantage.
• Strong analytical mindset and problem-solving skills, with a keen attention to detail.
• Excellent communication and presentation skills to convey complex data insights to non-technical stakeholders effectively.
• A passion for staying updated with industry trends, emerging technologies, and best practices related to transportation logistics and data analysis.
• Ability to work independently and as part of a team, managing multiple projects simultaneously.
• Be willing to challenge the status-quo and motivate the team to foster the data-driven culture.

At DHL Supply Chain we take pride in our commitment to fostering a workplace that celebrates diversity and promotes inclusion for all. We believe that the diverse backgrounds, perspectives, and experiences of our employees are integral to our success. Our inclusive culture is built on the principles of equality, respect, and belonging, where every team member is valued and empowered.

We actively encourage individuals from all walks of life, regardless of age, race, gender, sexual orientation, religion, nationality, disability, or any other characteristic, to apply for positions with us. We are dedicated to providing equal opportunities, removing barriers, and creating an environment where everyone feels they truly belong.