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- Tasks: Ensure data accuracy and consistency in maritime datasets while collaborating with various teams.
- Company: Join Windward, a leading maritime AI company transforming global trade with cutting-edge technology.
- Benefits: Enjoy remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in the maritime industry while working with innovative technology and a dynamic team.
- Qualifications: Bachelor's degree in Maritime Studies or related field; 5-10 years of maritime data management experience required.
- Other info: Ideal for those passionate about maritime data and eager to influence global information.
The predicted salary is between 36000 - 60000 £ per year.
Windward 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 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!
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; 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
Maritime Data Specialist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Maritime Data Specialist
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in maritime data management. Understanding how AI is transforming the industry will not only enhance your knowledge but also demonstrate your passion for the field during interviews.
✨Tip Number 2
Network with professionals in the maritime industry, especially those involved in data management. Attend relevant conferences or webinars to connect with potential colleagues and learn about the challenges they face, which can help you tailor your approach when applying.
✨Tip Number 3
Brush up on your analytical skills and become proficient in tools like SQL, Python, and Excel. Consider taking online courses or certifications that focus on data management and quality assurance processes to make your application stand out.
✨Tip Number 4
Prepare to discuss specific examples of how you've improved data accuracy and consistency in previous roles. Being able to share concrete experiences will showcase your expertise and problem-solving abilities, making you a more attractive candidate.
We think you need these skills to ace Maritime Data Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in maritime data management and showcases your analytical skills. Emphasise any specific tools you've used, such as SQL or Python, that are mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in maritime studies or data analysis to the role of Maritime Data Specialist. Discuss your understanding of the global shipping industry and how you can contribute to maintaining data accuracy and quality.
Showcase Relevant Experience: In your application, provide examples of past projects or roles where you ensured data accuracy and consistency. Highlight any experience with data acquisition processes or working with external data sources.
Highlight Collaboration Skills: Since the role involves collaboration with various internal teams, mention any previous experiences where you worked cross-functionally. This could include training team members or assisting customer support with complex queries.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Maritime Knowledge
Make sure to brush up on your understanding of the global shipping industry, including ownership structures and maritime regulations. Be prepared to discuss how your knowledge can contribute to the accuracy and consistency of the data you'll be managing.
✨Demonstrate Data Management Skills
Highlight your experience with data management tools like SQL, Python, and Excel. Be ready to provide examples of how you've used these tools in past roles to ensure data quality and streamline processes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding complex ownership queries or data inconsistencies. Think of specific scenarios from your past experience where you successfully resolved similar issues.
✨Emphasise Collaboration Experience
Since the role involves working with various internal teams, be prepared to discuss your experience collaborating with others. Share examples of how you've provided data expertise or training to colleagues, and how this has improved overall data quality.
