Operations Data & Projects Excellence Lead

APM Terminals Gothenburg; Shah Alam; On-site; MYR 60,000 - 120,000; Full time

Job summary

Maersk is seeking a Projects & Business Excellence Support professional to analyse operational data, prepare dashboards, and support governance across site functions. You will consolidate data from multiple sources, produce timely reports, and enable informed decision-making for the Operations Manager and teams.

The role involves cross-functional coordination, continuous improvement initiatives, and documenting evidence-based findings to drive efficiency and standardisation across processes.

Qualifications

• Experience in data analysis and reporting with dashboards and KPI tracking.
• Ability to consolidate data from multiple sources for insights.
• Strong communication for presenting findings to non-technical audiences.

Responsibilities

• Analyse operational data and prepare dashboards to support decision-making.
• Develop and maintain performance reports across daily to monthly cycles.
• Support project coordination and cross-functional alignment across teams.
• Identify improvement opportunities using data-driven insights.
• Ensure data integrity and standardised reporting templates.
• Provide guidance to team members and assist onboarding.

Skills

Data analysis

Power BI

MS Excel (advanced)

Reporting

Project coordination

Data visualization

Education

Bachelor's degree in Business, Logistics, Supply Chain, Engineering, Data Analytics, or related field

Tools

Power BI

MS Excel

ERP / WMS / TMS systems

Job description

Maersk is seeking a Projects & Business Excellence Support professional to analyse operational data, prepare dashboards, and support governance across site functions. You will consolidate data from multiple sources, produce timely reports, and enable informed decision-making for the Operations Manager and teams.

The role involves cross-functional coordination, continuous improvement initiatives, and documenting evidence-based findings to drive efficiency and standardisation across processes.