Fleet Operations Analyst

Education: Engineering background from marine/naval architecture or related fields.

• Support Fleet group and Operational support lead with Operational Excellence initiatives.
• Support Fleet group with analysis on performance management.
• Maintain organized data and prepare analysis on monthly performance, identify gaps and present data vessels level for monthly performance review with vessels and Fleet group.
• Support the fleet group with cost down drive initiative and keeping a record of same
• Support the FSI with monitor cost and performance on vessel level and analyze variances.
• Track completion of TOP2 appraisals and quality of appraisals.
• Support the FG with inventory management.
• Build a backlog of cost saving initiatives and tradeoffs, incl risk reg which can be implemented on specific vessels and across the fleet.
• Support with development of a model for cost benefit analyses for operation excellence

Who we are looking for:

• You are a self-motivated and a strong team player.
• Your language skills are excellent in both written and spoken English, being the working language of the Company.
• Bachelors degree
• Strong analytical and problem-solving skills.
• Proficiency in use of analytics tools like Power BI, MS-Excel
• Exceptional attention to details
• Effective communication and interpersonal skills
• Ability to work as part of one team.
• Good to have working knowledge of programming languages like Python or R

Business Understanding & Mindset

• Strong understanding of the business goals and objectives.
• Ability to translate business needs into clear, actionable requirements for data analysis.

Technical Skills

• Proficient in Excel (advanced functionalities).
• Skilled in Power BI for data visualization and reporting.
• Strong SQL
• Comfortable coding and querying large datasets.

Domain Knowledge

• Engineering background preferred, ideally from marine/naval architecture or related fields.
• Experience or understanding of fleet operations, asset management and vessel maintenance.

Communication & Presentation

• Excellent presentation skills to effectively communicate insights and reports to stakeholders.

Machine Learning: Experience working with machine learning models.