Data Insights Analyst Position

4 days ago


Singapore PSA Singapore Full time
About the Role

We are seeking a skilled Data Insights Analyst to join our team at PSA Singapore.

The ideal candidate will have a strong background in data analysis and interpretation, preferably in a port or logistics environment.

Key Responsibilities
  1. Data Analysis
  • Conduct in-depth analysis of operational and performance data associated with port activities.
  • Utilize statistical methods and data visualization techniques to identify trends, patterns, and anomalies.
  • Work with large datasets to derive insights that contribute to the improvement of port operations.
Reporting and Dashboards
  • Develop and maintain comprehensive and intuitive dashboards for key performance indicators (KPIs).
  • Generate regular and ad-hoc reports to communicate insights and performance metrics to relevant stakeholders.
  • Collaborate with cross-functional teams to understand reporting needs and tailor outputs accordingly.
Domain Knowledge Building
  • Actively engage in learning and understanding port logistics and operations.
  • Collaborate with subject matter experts to enhance domain-specific insights.
  • Apply acquired domain knowledge to provide context and depth to analytical findings.
Collaboration
  • Work closely with port operations, finance, and other departments to understand their data needs and provide analytical support.
  • Collaborate with data management teams to ensure data integrity, quality, and accessibility.
Continuous Improvement
  • Identify opportunities for process improvement based on data-driven insights.
  • Stay abreast of industry trends and best practices in data analytics and incorporate them into the port's analytical processes.
Requirements
  • Bachelor's or Master's degree in Analytics, Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
  • Proven experience in data analysis and interpretation, preferably in a port or logistics environment.
  • Proficiency in programming languages such as Python.
  • Strong knowledge of data visualization tools (e.g., Power BI).
  • 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.

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