As an analyst specializing in Data Analytics at PSA, you will play an important role in extracting meaningful insights from extensive datasets, contributing to informed decision-making within port operations. Beyond traditional data analysis, you will actively build domain knowledge in port operations and logistics to contextualize findings and provide deeper, industry-specific insights. Your primary responsibility is to analyze data, identify trends, and offer actionable recommendations to optimize processes, enhance efficiency, and fortify the overall success of the port.
Key Responsibilities:
1. Data Analysis and Reporting:
o Work with large datasets to improve port operations and conduct in-depth analysis of operational and performance data using
statistical methods and data visualization to identify trends and anomalies.
o Develop and maintain dashboards for key performance indicators (KPIs) and generate regular and ad-hoc reports for stakeholders,
collaborating with teams to understand and meet reporting needs.
2. Domain Knowledge Building and Stakeholder Management:
o Learn about port logistics and operations, especially through working with subject matter experts to enhance insights and apply them
to analytical findings.
o For senior role, drive projects and analysis to ensure outcomes are actionable, measurable, and aligned with stakeholder objectives.
3. Collaboration and Continuous Improvement:
o Work with various departments to understand their analytics needs.
o Ensure data integrity, quality, and accessibility with data management teams.
o Identify opportunities for process improvement and stay updated on industry trends and best practices in data analytics.
Qualifications:
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in data analysis and interpretation, preferably in a port or logistics environment.
(At least 3 years experience required for senior role)
• Proficiency in programming languages such as Python
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
• Proficiency in MS ACCESS and MS EXCEL (including VBA)
• Familiarity with database management systems, and SQL.
• Excellent problem-solving and critical-thinking skills.
• Effective communication skills to convey complex insights to non-technical stakeholders.
• Ability to work collaboratively in a dynamic, fast-paced environment.
Only shortlisted candidates will be notified
At PSA Singapore, we operate the world’s largest container transhipment hub 24/7, handling 40.9 million TEUs of containers in 2024.
We are at the confluence of major trade routes, with connections to over 600 ports worldwide. We play a pivotal role in bringing global economies together, moving mountains of goods across continents and oceans to people who need them.
We constantly innovate to anticipate, meet and exceed the future demands of global trade. Harnessing the latest in data, automation, smart engineering and energy management, we seek to become a leader in attaining new heights in port efficiencies while ensuring environmental sustainability for future generations. Our newest Tuas Port is set to be the world’s single largest fully automated terminal when completed in 2040, powered by smart technology and green energy.
Beyond port operations, PSA is also working alongside our stakeholders to develop innovative cargo solutions that orchestrate supply chains with reliability and efficiency. Building on our expertise in connecting containers, we now link communities by managing the ever-growing complexities of the logistics industry. Tuas Port will also be a key nucleus and multiplier of a wider Tuas Ecosystem that is poised to orchestrate creative supply chain solutions to further the connectivity of Singapore’s future economy.
At PSA, we also connect people – connecting people like you to this dynamic industry! Working alongside, we will empower you to realise your fullest potential. With our exciting development programmes and career opportunities, we will nurture you to become well-rounded leaders in PSA.
