Senior Data Insights Analyst / Data Insights Analyst

Job Summary:

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