Strategic Data Analyst: Quick Commerce & Partnerships

foodpanda; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

foodpanda in Kuala Lumpur is seeking a Data Analyst in the Quick Commerce & Partnerships Analytics team. You will conduct deep-dive analyses, maintain data consistency, and provide high-quality strategic insights that guide decisions on dark store expansion, assortment changes, and delivery fee adjustments.

This foundational role offers opportunities to grow technical skills, gain exposure to high-impact projects, and learn from data professionals who tackle big problems at a global scale using

Qualifications

• Experience in analytics across e-commerce or logistics domains.
• Proficiency with SQL and data modeling.
• Ability to build dashboards and reports for stakeholders.

Responsibilities

• Quick Commerce Analysis: measure impact and provide actionable recommendations on initiatives like dark store expansion, assortment changes, delivery fee adjustments, and discounting.
• Data Modeling & Measurement: develop measurement frameworks, create SQL models, and transform large datasets for insights using BigQuery, Excel, and dbt.
• Strategic Reporting & Visualization: build dashboards in Looker/Tableau to support business decisions for operators and leaders.
• Collaboration & Stakeholder Partnership: work with quick commerce, operations, and supply chain teams to align analytics with objectives.
• Data Quality & Tracking: monitor data quality and support QA processes across metrics.
• AI-Driven Analytics & Automation: explore AI-powered tools, agentic workflows, and prompt-engineered pipelines for scalable analytics.

Skills

Data modeling

SQL

Analytics

Visualization

Stakeholder comms

Tools

BigQuery

Excel

dbt

Looker

Tableau

Job description

foodpanda in Kuala Lumpur is seeking a Data Analyst in the Quick Commerce & Partnerships Analytics team. You will conduct deep-dive analyses, maintain data consistency, and provide high-quality strategic insights that guide decisions on dark store expansion, assortment changes, and delivery fee adjustments.

This foundational role offers opportunities to grow technical skills, gain exposure to high-impact projects, and learn from data professionals who tackle big problems at a global scale using