Manager, Data Analytics (Marketing Analytics)
Kuala Lumpur, Malaysia
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead and mentor an analytics team, including hands-on support where needed
Design A/B, geo, holdout and MMM studies to measure incremental marketing ROI
Build complex SQL models and data products using BigQuery and dbt
Identify and build AI-powered analytics workflows and tools for the team
Turn KPI trends and performance drivers into executive-ready narratives
From the employer’s posting
Lead and mentor a high-performing analytics team—providing hands-on support where needed
Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling
Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
Identify, design, and implement AI-powered solutions that transform how marketing analytics operates
Translate data into executive-ready insights, synthesizing marketing KPIs, trends, and performance drivers into clear narratives
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in a quantitative field or equivalent practical experience, with 7+ years in analytics/data science and a track record of building and leading high-performing teams.
- Experience partnering with senior stakeholders, influencing without authority, and driving strategic alignment across cross-functional teams in fast-paced environments.
Qualification wording
Bachelor’s degree in a quantitative field or equivalent practical experience, with 7+ years in analytics/data science and a track record of building and leading high-performing teams.
Experience partnering with senior stakeholders, influencing without authority, and driving strategic alignment across cross-functional teams in fast-paced environments.
Education & alternatives
Qualifications - Bachelor’s degree in a quantitative field or equivalent practical experience, with 7+ years in analytics/data science and a track record of building and leading high-performing teams. - Strong technical depth in SQL and Python, with experience in statistical modeling, experimentation (A/B testing/causal inference), and building scalable data products or analytical solutions.
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
Source — Tool mentions in context
- Bachelor’s degree in a quantitative field or equivalent practical experience, with 7+ years in analytics/data science and a track record of building and leading high-performing teams. - Strong technical depth in SQL and Python, with experience in statistical modeling, experimentation (A/B testing/causal inference), and building scalable data products or analytical solutions. - Exceptional problem-solving in ambiguous environments, with the ability to structure complex business problems and translate insights into clear decisions and actions.
- Drive strategic alignment with function's leadership, shaping the analytics roadmap and translating business priorities into high-impact analytical initiatives in a fast-paced environment. - Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt. - Translate data into executive-ready insights, synthesizing marketing KPIs, trends, and performance drivers into clear narratives that highlight risks, opportunities, and actions for efficiency gains.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 14 days ago
- Recorded sightings
- 114
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Oct 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
As the Manager, Marketing Analytics, you will lead a team responsible for directly impacting the marketing 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 marketing stakeholders to influence strategy and marketing tactics, leveraging AI to build the future of marketing analytics. Your mandate as manager will include elevating talent density, standardizing methods and tools, and elevating the data-driven decision-making culture in our business.
Responsibilities:
- Lead and mentor a high-performing analytics team—providing hands-on support where needed—in structuring and solving complex marketing problems, leveraging agentic AI tools and advanced analytics to deliver actionable insights and scalable data products that drive measurable business impact.
- Elevate team capability and talent density by upskilling analysts and transforming the function from traditional BI reporting into a decision-science partner influencing strategy, closely aligned with business outcomes.
- Own the function's analytics outcomes end-to-end, managing complex projects from problem framing to execution and communicating clear, actionable recommendations to senior leadership.
- Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives.
- Drive strategic alignment with function's leadership, shaping the analytics roadmap and translating business priorities into high-impact analytical initiatives in a fast-paced environment.
- Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
- Translate data into executive-ready insights, synthesizing marketing KPIs, trends, and performance drivers into clear narratives that highlight risks, opportunities, and actions for efficiency gains.
- Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), 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 analysts.
Find out more about our Data Analytics folks here:
- Turn insights into impact!
- Looking for a career in data analytics? This could be the opportunity for you!
Qualifications
- Bachelor’s degree in a quantitative field or equivalent practical experience, with 7+ years in analytics/data science and a track record of building and leading high-performing teams.
- Strong technical depth in SQL and Python, with experience in statistical modeling, experimentation (A/B testing/causal inference), and building scalable data products or analytical solutions.
- Exceptional problem-solving in ambiguous environments, with the ability to structure complex business problems and translate insights into clear decisions and actions.
- Experience partnering with senior stakeholders, influencing without authority, and driving strategic alignment across cross-functional teams in fast-paced environments.
- Track record of raising the bar—hiring, mentoring, and developing talent, while elevating analytics from reporting to a decision science function that drives business outcomes.
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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- Location & working pattern
Kuala Lumpur, Malaysia
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