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Senior Data Analyst (Quick Commerce)

Singapore, Singapore

Pay
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Work setting
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Work setup in the employer’s posting: On-site
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
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What you’ll bring

All qualifications

Core experience

  • Bachelor's or advanced degree in Statistics, Data Science, Analytics, Mathematics, Economics, Computer Science, or related field.
  • 5+ years of experience in data analytics with a strong focus on SQL, Python, data modeling, and data visualization.
  • 3+ years of experience supporting Quick Commerce, Operations, Supply Chain, or Commercial teams (online or offline retail), or similar, is preferred but not required; a track record of influencing quick commerce/operations leadership and driving quick commerce optimizations via actionable, data-backed recommendations is a strong plus
  • Proficiency with advanced SQL (preferably with BigQuery or similar DWH) and experience in Looker or Tableau.
  • Experience leading or mentoring other analysts, with an ability to foster teamwork and collaboration.
  • Ability to work independently on complex projects and deliver high-impact results in a fast-paced environment.

Preferred experience

  • Familiarity with dbt/Airflow is a plus.
Qualification wording
Bachelor's or advanced degree in Statistics, Data Science, Analytics, Mathematics, Economics, Computer Science, or related field.
5+ years of experience in data analytics with a strong focus on SQL, Python, data modeling, and data visualization.
3+ years of experience supporting Quick Commerce, Operations, Supply Chain, or Commercial teams (online or offline retail), or similar, is preferred but not required; a track record of influencing quick commerce/operations leadership and driving quick commerce optimizations via actionable, data-backed recommendations is a strong plus
Proficiency with advanced SQL (preferably with BigQuery or similar DWH) and experience in Looker or Tableau. Familiarity with dbt/Airflow is a plus.
Experience leading or mentoring other analysts, with an ability to foster teamwork and collaboration.
Ability to work independently on complex projects and deliver high-impact results in a fast-paced environment.
Education & alternatives
Qualifications - Bachelor's or advanced degree in Statistics, Data Science, Analytics, Mathematics, Economics, Computer Science, or related field. - 5+ years of experience in data analytics with a strong focus on SQL, Python, data modeling, and data visualization.

Tools in this posting

  • Python
  • SQL
  • BigQuery
  • dbt
  • Looker
  • Tableau
  • Airflow
Source — Tool mentions in context
- Bachelor's or advanced degree in Statistics, Data Science, Analytics, Mathematics, Economics, Computer Science, or related field. - 5+ years of experience in data analytics with a strong focus on SQL, Python, data modeling, and data visualization. - 3+ years of experience supporting Quick Commerce, Operations, Supply Chain, or Commercial teams (online or offline retail), or similar, is preferred but not required; a track record of influencing quick commerce/operations leadership and driving quick commerce optimizations via actionable, data-backed recommendations is a strong plus
- Stakeholder Engagement & Influence: Collaborate closely with senior quick commerce, operations and supply chain partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively. - Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key quick commerce initiatives (e.g. Shops, dark store performance, fulfillment/delivery metrics); lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt. - Strategic Reporting & Visualization: Design and 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 leaders.
- 3+ years of experience supporting Quick Commerce, Operations, Supply Chain, or Commercial teams (online or offline retail), or similar, is preferred but not required; a track record of influencing quick commerce/operations leadership and driving quick commerce optimizations via actionable, data-backed recommendations is a strong plus - Proficiency with advanced SQL (preferably with BigQuery or similar DWH) and experience in Looker or Tableau. Familiarity with dbt/Airflow is a plus. - Solid background in statistical analysis and data modeling.
- Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key quick commerce initiatives (e.g. Shops, dark store performance, fulfillment/delivery metrics); lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt. - Strategic Reporting & Visualization: Design and 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 leaders. - Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 21, 2026 · 8 days ago
Recorded sightings
101
Last seen by us
Oct 30, 2026

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Job description

View original posting ↗

Job Description

As a Senior Data Analyst in the Quick Commerce & Partnerships Analytics team, you will leverage your expertise to directly impact the quick commerce strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you'll work as an embedded thought partner with senior quick commerce stakeholders to influence strategy and tactics, mentor junior analysts, and leverage AI to build the future of quick commerce analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

  • Strategic Analysis: Design and execute robust analytical methodologies including causal impact modeling and measuring incremental ROI on quick commerce investments (examples: dark store expansion, assortment changes, delivery fee adjustments, discounting) and make actionable recommendations on capital allocation and tactical execution of quick commerce initiatives.
  • Stakeholder Engagement & Influence: Collaborate closely with senior quick commerce, operations and supply chain partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
  • Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key quick commerce initiatives (e.g. Shops, dark store performance, fulfillment/delivery metrics); lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
  • Strategic Reporting & Visualization: Design and 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 leaders.
  • Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
  • AI-Driven Analytics & Automation: Identify, design, 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. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

Qualifications

  • Bachelor's or advanced degree in Statistics, Data Science, Analytics, Mathematics, Economics, Computer Science, or related field.
  • 5+ years of experience in data analytics with a strong focus on SQL, Python, data modeling, and data visualization.
  • 3+ years of experience supporting Quick Commerce, Operations, Supply Chain, or Commercial teams (online or offline retail), or similar, is preferred but not required; a track record of influencing quick commerce/operations leadership and driving quick commerce optimizations via actionable, data-backed recommendations is a strong plus
  • Proficiency with advanced SQL (preferably with BigQuery or similar DWH) and experience in Looker or Tableau. Familiarity with dbt/Airflow is a plus.
  • Solid background in statistical analysis and data modeling.
  • Experience leading or mentoring other analysts, with an ability to foster teamwork and collaboration.
  • Strong business acumen with excellent communication and presentation skills.
  • Ability to work independently on complex projects and deliver high-impact results in a fast-paced environment.

Additional Information

What we offer:

  • A dynamic and challenging work environment.
  • A company committed to developing you personally and professionally.
  • A great working atmosphere with regular company and team events.
  • A vibrant and international team committed to diversity and inclusion.
  • Responsibility from day one in a fast growing and global company.

foodpanda is operated by Delivery Hero Group (“DH Group”) - the world’s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.

In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 17 markets in both regions.

Company 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.

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Singapore, Singapore

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