Data Insights Analyst
2 weeks ago
Job Title: Data Insights Analyst
About the Role:
We are seeking a highly skilled Data Insights Analyst to join our team at PSA Singapore. As a key member of our analytics team, you will play a critical role in extracting valuable insights from large datasets, driving informed decision-making, and contributing to the success of our port operations.
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.
2. 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.
3. 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.
4. 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.
5. 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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