Data Analyst

Job Summary As a Data Analyst on our data team, you will work directly with Product and Content teams to provide analytical insights and context for maritime analytics business operations. Your work will directly support content strategy through research and analysis of maritime industry trends, vessel tracking insights, and global shipping intelligence, while also driving organizational insights through internal analytics dashboards and reporting.

To be successful in this role, you should have strong analytical skills, comfort with data visualization tools, and an eagerness to derive actionable insights from maritime data. You should have a passion for maritime research and analytics, along with the technical skills needed to support both content creation and business intelligence initiatives in the shipping, logistics, and maritime security sectors.

Roles & Responsibilities

• Research and analyze maritime industry trends, global shipping patterns, and vessel tracking data to provide context and background information for blog posts and content creation.
• Build and maintain interactive dashboards and reports using Amazon Quick Sight for internal stakeholders, focusing on maritime intelligence and vessel performance metrics.
• Extract, transform, and analyze data from multiple maritime data sources including AIS data, port information, and shipping intelligence to support business decision-making.
• Collaborate with content teams to ensure maritime data-driven insights are incorporated into blog posts, thought leadership content, and marketing materials.
• Monitor and report on key performance indicators (KPIs) related to vessel tracking, maritime compliance, and shipping analytics.
• Create self-service analytics solutions to empower other teams with access to maritime intelligence and shipping data insights.

Required Skills & Qualifications With strong Python, SQL and Advance Excel experience.

2-4 years of data analysis experience, preferably in maritime, logistics, or transportation industries.

Experience with data visualization and business intelligence tools, preferably Amazon Quick Sight.

Proficiency in SQL and experience with relational databases (PostgreSQL preferred).

Strong research and analytical skills with the ability to synthesize complex maritime and shipping information.

Experience with statistical analysis and data interpretation, particularly time series and geospatial data.

Proficiency in Python or R for data analysis and manipulation of large maritime datasets.

Experience working on end-to-end analytical projects independently.

Strong written communication skills for translating maritime data insights into compelling narratives for industry audiences.

Experience With AWS Data Services (S3, RDS, Glue) Preferred. Knowledge of the maritime industry, global shipping patterns, and vessel operations preferred.