Data Analyst Opportunity - Maritime Technology & intelligence
Pole Star Global, London, KY, United States
About Pole Star
As the leader in maritime intelligence, Pole Star empowers better decision‑making and protects clients’ business interests, assets, seafarers, vessels, cargo, infrastructure, investments, profitability, and reputation – through provision of high‑performance, cyber‑secure solutions underpinned by immense service and constant technological innovation. We have offices in London, USA, Singapore, Hong Kong and Panama, alongside presence in Australia. Teams are made up of over 19 nationalities, speaking 25 different languages.
The Opportunity
As a Data Analyst on the Pole Star data team, you will work directly with Product teams and Content teams to provide analytical insights and context for our maritime analytics business operations. Your work will directly support our 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 with the technical skills needed to support both content creation and business intelligence initiatives in the shipping, logistics and maritime security sectors.
Responsibilities
Research and analyse 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 Azure‑based platforms like Power BI, Azure Analysis Services, Microsoft Fabric, or similar platforms like Amazon QuickSight for internal stakeholders, focusing on maritime intelligence and vessel performance metrics.
Extract, transform, and analyse 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
Demonstrated knowledge of the maritime industry, global shipping patterns and vessel operations.
An understanding of AIS (Automatic Identification System) data and vessel tracking systems.
Knowledge of port operations, shipping routes and global trade patterns.
3–5 years of data analysis experience, preferably in the maritime, logistics or transportation industries.
Experience with data visualisation and business intelligence tools such as Power BI or Microsoft Fabric.
Proficiency in SQL and experience with relational databases (PostgreSQL preferred).
Strong research and analytical skills with the ability to synthesise 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 Microsoft Azure‑based Data Services, such as Azure Blob Storage and Azure SQL Database is preferred.
Additional Skills (Nice to Have)
Experience in maritime industry content research and fact‑checking for industry publications.
Experience with Microsoft Azure‑based data services and Microsoft Azure Data visualisation platforms.
Familiarity with time‑series analysis and trend identification for vessel movements and shipping patterns.
Experience with A/B testing and experimental design.
Strong knowledge of geospatial data analysis and mapping technologies for vessel tracking.
Understanding of maritime compliance and sanctions screening processes.
Experience with real‑time data processing and vessel tracking systems.
Knowledge of maritime regulations, IMO standards and shipping industry best practices.
Understanding of web analytics platforms (Google Analytics, etc.).
Experience with data pipeline tools and ETL processes for maritime data integration.
Education/Certifications
Bachelor’s degree in data science, statistics, economics, maritime studies, international trade or related field.
Employee Benefits
Competitive salary
Health insurance
Life assurance (funded to 3x salary) and EAP programme
Private pension scheme
30 days annual leave
5 wellness days
Refer‑a‑friend recruitment bonus
Unlimited learning and development opportunities
#J-18808-Ljbffr
As the leader in maritime intelligence, Pole Star empowers better decision‑making and protects clients’ business interests, assets, seafarers, vessels, cargo, infrastructure, investments, profitability, and reputation – through provision of high‑performance, cyber‑secure solutions underpinned by immense service and constant technological innovation. We have offices in London, USA, Singapore, Hong Kong and Panama, alongside presence in Australia. Teams are made up of over 19 nationalities, speaking 25 different languages.
The Opportunity
As a Data Analyst on the Pole Star data team, you will work directly with Product teams and Content teams to provide analytical insights and context for our maritime analytics business operations. Your work will directly support our 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 with the technical skills needed to support both content creation and business intelligence initiatives in the shipping, logistics and maritime security sectors.
Responsibilities
Research and analyse 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 Azure‑based platforms like Power BI, Azure Analysis Services, Microsoft Fabric, or similar platforms like Amazon QuickSight for internal stakeholders, focusing on maritime intelligence and vessel performance metrics.
Extract, transform, and analyse 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
Demonstrated knowledge of the maritime industry, global shipping patterns and vessel operations.
An understanding of AIS (Automatic Identification System) data and vessel tracking systems.
Knowledge of port operations, shipping routes and global trade patterns.
3–5 years of data analysis experience, preferably in the maritime, logistics or transportation industries.
Experience with data visualisation and business intelligence tools such as Power BI or Microsoft Fabric.
Proficiency in SQL and experience with relational databases (PostgreSQL preferred).
Strong research and analytical skills with the ability to synthesise 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 Microsoft Azure‑based Data Services, such as Azure Blob Storage and Azure SQL Database is preferred.
Additional Skills (Nice to Have)
Experience in maritime industry content research and fact‑checking for industry publications.
Experience with Microsoft Azure‑based data services and Microsoft Azure Data visualisation platforms.
Familiarity with time‑series analysis and trend identification for vessel movements and shipping patterns.
Experience with A/B testing and experimental design.
Strong knowledge of geospatial data analysis and mapping technologies for vessel tracking.
Understanding of maritime compliance and sanctions screening processes.
Experience with real‑time data processing and vessel tracking systems.
Knowledge of maritime regulations, IMO standards and shipping industry best practices.
Understanding of web analytics platforms (Google Analytics, etc.).
Experience with data pipeline tools and ETL processes for maritime data integration.
Education/Certifications
Bachelor’s degree in data science, statistics, economics, maritime studies, international trade or related field.
Employee Benefits
Competitive salary
Health insurance
Life assurance (funded to 3x salary) and EAP programme
Private pension scheme
30 days annual leave
5 wellness days
Refer‑a‑friend recruitment bonus
Unlimited learning and development opportunities
#J-18808-Ljbffr