Windward (LON: WNWD) is a leading maritime AI company, offering advanced risk management, intelligence, and logistics solutions. Our state-of-the-art platform utilises cutting-edge AI technology to provide actionable insights, driving growth and transformation within the global trade industry.
We are looking for a Maritime Editorial Data Specialist to provide editorial supervision over our datasets, to ensure data accuracy, resilience, consistency, and timeliness.
Join us and help influence global maritime information!
聽What will you do?
- Ensure accuracy and consistency in ship ownership and shipping company data
- Track changes in ownership, addresses, and registrations, including changes occurring as a result of new Sanctions, and ensure records are updated in a timely manner
- Track and maintain high quality data across our datasets, and implement processes to ensure data quality improvement where needed
- Assist customer support team with complex Ownership queries and investigations
- Provide guidelines and training to members of our remote Editorial Team on data collection processes, and data investigations
- Collaborate with internal teams (R&D, Product, Support) and provide them with maritime data expertise
- Prospect for new data sources according to Product needs, and help manage and expand existing vendors relations
Who are you?
- Bachelor's degree in Maritime Studies, Data analysis, or any other related field;聽
- 5-10 years of experience in maritime data management - a must
- In-depth knowledge of the global shipping industry, including ownership structures and maritime regulations
- Ability to work with external data sources and streamline data from various inputs
- Strong analytical skills with proficiency in data management tools (e.g., SQL, Python, Excel) and quality assurance processes
- Experience in data selling and/or data acquisition processes (e.g. data catalogues, data samples, API requirement etc)
- Ability to work in a fast paced environment, involving sensitive data needing immediate attention