Manager, Digital Analytics & Insights

DHL Express; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

DHL Express in Singapore is seeking a Manager of Reporting and Business Analytics to own metrics, dashboards, and customer insight across the DCS product portfolio. You will partner with IT, BI, and Product Owners to ensure accurate data, timely reporting, and a friction-free customer experience.

Responsibilities include analytics configuration, KPI definitions, and data integration into the Data Lake, plus applying AI-assisted analytics to speed insights while ensuring governance and privacy

Qualifications

• University degree in Business, Analytics, Data Science, Computer Science, Marketing, or related field.
• Experience with Adobe Analytics and digital customer journey analysis.
• Strong written and verbal English; cross-cultural collaboration experience.
• Certified analytics or project management qualifications are a plus.

Responsibilities

• Develop, maintain, and refresh reporting dashboards and analytics assets with clear requirements and acceptance criteria.
• Manage end-to-end reporting lifecycle from requirements to adoption and improvement.
• Ensure dashboards are accurate, timely, reliable, and stakeholder-aligned.
• Collaborate with Product Owners, BI, and IT to ensure complete measurement and data lineage.
• Monitor health and customer friction in DCS applications using analytics and VOC tools.
• Integrate data from BI and Data Lake to provide an end-to-end view of customer behaviour.

Skills

Adobe Analytics

Power BI

Tableau

Data governance

AI analytics

Education

Bachelor's degree or higher in Business/Analytics/Data Science/CS/Marketing

Tools

Medallia

Decibel

FullStory

Amplitude

Data Lake/ETL tools

Job description

DHL Express in Singapore is seeking a Manager of Reporting and Business Analytics to own metrics, dashboards, and customer insight across the DCS product portfolio. You will partner with IT, BI, and Product Owners to ensure accurate data, timely reporting, and a friction-free customer experience.

Responsibilities include analytics configuration, KPI definitions, and data integration into the Data Lake, plus applying AI-assisted analytics to speed insights while ensuring governance and privacy