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Opportunity
APM Terminals is a port infrastructure leader, uniquely positioned to help both shipping line and landside customers grow their business and achieve better supply chain efficiency, flexibility, and dependability.
Part of A.P. Moller-Maersk, we leverage more than 100 years of industry experience to design and build high-quality container terminals.
Purpose
This position is responsible for monitoring and analyzing operational performance metrics to ensure efficient and effective container terminal operations. It involves conducting data analysis, identifying operational bottlenecks, and providing actionable insights to enhance overall performance and productivity.
Principal Accountabilities
Monitor the performance using dashboards and Power BI, ensure they run efficiently and meet user needs. Customize dashboards to meet specific user or departmental requirements, providing tailored solutions that enhance decision-making processes. Develop and implement automation scripts to reduce manual data processing and increase efficiency. Integrate Power BI with other business systems and tools to streamline data flow and improve reporting capabilities. Conduct thorough testing and validation of dashboards and datasets to ensure accuracy and reliability. Collaborate with different business units to understand their needs and provide customized reporting solutions. Perform trend analysis and forecasting to support strategic planning and decision-making. Apply advanced analytical techniques such as machine learning and statistical analysis to uncover deeper insights. Build and maintain strong relationships with port authority to ensure their reporting needs are met. Provide regular updates and reports to finance department on dashboard performance and enhancements. Function as the main point of contact with other shipping lines for billing-related issues. Compilation of reports for stakeholders, encompassing both internal and external audiences.
Who we are looking for
Masters/engineering degree in Data Science, Information Technology, or a related field Proven experience in performance analysis, data interpretation, and process optimization within the container terminal or logistics industry. Strong proficiency in data analysis tools and software such as Excel, SQL, and data visualization tools (e.g., Tableau, Power BI). Excellent communication skills, both verbal and written, with the ability to present complex data in a clear and concise manner. Demonstrated ability to work in a fast-paced, dynamic environment and collaborate effectively with cross-functional teams. Possess effective analytical, numeracy, reporting and problem-solving skills. Mast have a proactive approach to improving systems and procedures that will improve operational efficiency.
Critical Skills
Planning and Organizational Skills Lean knowledge Performance analysis & data interpretation Collaboration Customer Centricity Problem Solver mindset
You have been reading so far, we’re glad to see you are interested. If you could see yourself in this role and you are keen to be part of the journey to establish a world-class function at APM Terminals, we look forward to hearing from you!
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Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .
