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 is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

Job Description

As a Data Analyst in the Quick Commerce & Partnerships Analytics team, you will be part of our mission to drive impactful decisions and incremental value across our 16 markets. You'll support the team by conducting deep-dive analyses, maintaining data consistency and providing high-quality strategic insights that drive decisions on key quick commerce levers — from dark store expansion and assortment changes to delivery fee adjustments and discounting. This is a foundational role offering the opportunity to grow technical skills, gain exposure to high-impact projects, and learn from experienced data professionals who work on big problems at a global scale, leveraging the latest AI tools and analytical techniques.

• Quick Commerce Analysis: Utilize analytical methodologies ranging from data modeling to descriptive/predictive/prescriptive analytics in order to measure incremental impact and make actionable recommendations on quick commerce investments (e.g. dark store expansion, assortment changes, delivery fee adjustments, discounting), customer conversion funnel, cost/margin optimization, and tactical execution of quick commerce initiatives.
• Data Modeling & Measurement: Build and refine measurement frameworks and metric definitions for key quick commerce initiatives (e.g. Shops, dark store performance, fulfillment/delivery metrics); support the development of SQL models to implement frameworks and transform massive datasets into actionable insights using tools like BigQuery (SQL), Excel, and dbt.
• Strategic Reporting & Visualization: Build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents for delivery delays or stockouts) that facilitate decision-making for business operators and leaders.
• Collaboration & Stakeholder Partnership: Collaborate with quick commerce, operations, and supply chain partners to understand strategic objectives, recommend analytics solutions, and present insights effectively. Also, work closely with senior analysts and team leads, learning from their approach to data modeling, visualization, and storytelling.
• Data Quality & Tracking: Monitor data quality and participate in QA processes to ensure consistency across all reporting metrics.
• AI-Driven Analytics & Automation: Evaluate and implement AI-powered solutions that transform how quick commerce analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection on delivery/fulfillment metrics), LLM-assisted insight generation, and prompt-engineered pipelines. Help translate repeatable analyst workflows into scalable AI tools, and share knowledge across the team.

Find out more about our Data Analytics folks here:

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