Greece
EuropeVessel Data Manager
3 мес. назад
GreeceEuropeHybrid
Manage and oversee vessel-related data to support decision-making in commodities, energy, and maritime sectors.
О компании
- At , we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
Другое
- Lead, coach, and develop a team of data analysts, fostering growth, ownership, and continuous improvement.
- Act as the subject matter expert on Vessel Particulars & Companies business logic, rules, and datasets.
- Identify and integrate new datasets into our databases.
- Develop and test business logic, create dashboards, and curate datasets.
- Allocate resources, support team members, and identify training needs.
- Implement automation solutions, integrate new data sources, and maintain related platforms.
- Collaborate with tech stakeholders for infrastructure needs and support commercial teams with data insights.
- Enhance proprietary data quality and keep the team aligned with company objectives.
- Manage KPIs and OKRs, provide insights for improvement, and support product development.
- 8+ years of experience in data management, analytics, or related roles, including 2+ years of direct people management experience.
- Subject Matter Expert (SME)-level knowledge of the maritime industry, including vessel data, shipping operations, or related maritime domains.
- Proven People Manager experience managing, building, and developing technical data teams.
- Advanced, hands-on proficiency in SQL and Python
- Proven experience designing, optimizing, and maintaining ETL processes, working with APIs for data ingestion, and utilizing web-scraping frameworks.
- Practical familiarity with data visualization tools (e.g., Tableau, Looker)
- A strong understanding of statistical methodologies to build automated data validation logic.
- Project management experience.
- Experience with Dataiku or similar data science and workflow automation platforms.
- Strong people leadership skills with a focus on coaching, development, and team empowerment.
- Ownership mindset with accountability for data quality and operational excellence.
- Structured and process-oriented approach, with the ability to prioritise effectively.
- Strong communication skills and ability to collaborate with diverse stakeholders.
- Analytical thinking and curiosity with a continuous improvement mindset.
- Ability to balance strategic thinking with hands-on problem solving.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Maritime Studies or a related field.