Data Analyst – Python & Tableau/Power BI (Up to $6k/AWS) (ID: 663647) ID-4349

Job Summary:

As a Data Analytics Analyst, you will play a pivotal role in deriving actionable insights from large datasets to support data-driven decisions in port operations. In addition to performing standard data analysis, you will develop a deep understanding of port logistics and operations to provide more nuanced, industry-relevant insights. Your core responsibilities will involve analyzing data, spotting patterns, and delivering recommendations to streamline processes, improve efficiency, and contribute to the overall success of port operations.

Key Responsibilities:

Data Analysis and Reporting:

Analyze extensive datasets to enhance operational efficiency in port activities, applying statistical techniques and data visualization to detect patterns and outliers.
Design and maintain dashboards to track key performance indicators (KPIs), and prepare both routine and ad-hoc reports in collaboration with stakeholders to address their reporting needs.

Domain Expertise Development and Stakeholder Engagement:

Acquire in-depth knowledge of port operations and logistics by working closely with industry experts to contextualize and enrich analytical insights.
For senior roles, lead analysis and projects to ensure results are measurable, actionable, and aligned with stakeholder goals.

Collaboration and Continuous Improvement:

Partner with various teams to identify and address their analytics requirements effectively.
Collaborate with data management teams to maintain data accuracy, quality, and accessibility.
Proactively identify areas for process optimization while staying informed on the latest trends and advancements in data analytics.

Qualifications:

Other Jobs You May Be Interested In

A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
Demonstrated expertise in data analysis and interpretation, ideally within the port or logistics sector (3+ years of experience required for senior roles).
Proficiency in programming languages such as Python.
Advanced knowledge of data visualization tools like Tableau or Power BI.
Competency in MS Access and MS Excel (including VBA).
Familiarity with database systems and SQL.
Strong analytical and problem-solving capabilities.
Excellent communication skills for translating complex data findings into actionable insights for non-technical audiences.
Ability to thrive in a collaborative and dynamic work environment.