Senior Logistics Analytics Lead

foodpanda; Singapore; On-site; SGD 110,000 - 170,000; Full time

Benefits offered by this job

Dynamic work environment

Professional development

Team events

Diversity & inclusion

Global company

Job summary

foodpanda in Singapore is seeking a Senior Data Analyst (Logistics Analytics) to deliver actionable insights and analytics solutions that drive cost, efficiency, and service improvements across our markets.

You will partner with senior stakeholders, mentor junior analysts, and shape the analytics function, using SQL, Python, and cloud-based data tools to build scalable data products and self‑service analytics.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent practical experience.
• 5–8 years of analytics or data science experience, with logistics/operations focus.
• Strong SQL and Python with large-scale datasets and distributed data systems.
• Experience with modern cloud data platforms, preferably Google Cloud.
• Experience applying advanced analytics methods and causal inference.

Responsibilities

• Own logistics problem domains end-to-end and deliver analytical solutions driving cost, efficiency, and service improvements.
• Partner with business leads to shape problem statements and co‑develop data‑driven solutions.
• Apply simulation, optimization, and statistical modeling to complex logistics problems.
• Design and analyze experiments (A/B, cluster, switchback) and apply quasi-experimental methods.
• Build and scale data products and analytics tools for self‑serve analytics.
• Conduct exploratory and root-cause analyses to identify performance drivers.
• Collaborate with data & engineering teams on data modeling and metric definitions.
• Translate complex analyses into actionable recommendations for stakeholders.

Skills

SQL

Python

Analytical thinking

Problem solving

Communication

Education

BSc in quantitative field

Tools

BigQuery

Vertex AI

Google Colab

NoSQL databases

Job description

foodpanda in Singapore is seeking a Senior Data Analyst (Logistics Analytics) to deliver actionable insights and analytics solutions that drive cost, efficiency, and service improvements across our markets.

You will partner with senior stakeholders, mentor junior analysts, and shape the analytics function, using SQL, Python, and cloud-based data tools to build scalable data products and self‑service analytics.