Freight Analyst (SQL / Phyton) - Competitive Pay

The freight analyst is a member of the Chartering & Bunkering team within the Global Chartering organization. 

Responsibilities:

• To provide freight data analysis evaluations, making recommendation on freight trading strategies and tactics. 
• To analyse historical data and trends and to present freight market analytics/data summaries to support the Charterers in their market calls, trades, and cross trading opportunities between Clean and Dirty products. 
• To work closely with the Global Analytics Team, external brokers, and owners to track ship and monitoring Eastern Hemisphere Crude/Product productions, imports, and exports. 
• Prepare and present weekly freight balances, ensuring alignment with charterers' input.
• To develop and maintain complex Excel models and tools to support the analysis of freight data.
• Write and maintain Python scripts to automate data collection, processing, and reporting tasks.
• Think creatively and propose innovative solvers to improve freight analysis and reporting.
• Prepare and update daily freight grids and curves to support trading decisions.

Requirements:

• Strong organizational skills and ability to perform multiple tasks simultaneously, set priorities, and to work with diverse cultural background. 
• Strong collaborator and able to work independently. 
• Demonstrated analytical skills; Solution oriented with an excellent quality, attention to details, accuracy, efficiency, and meeting tight deadlines.
• Strong written/verbal communication, presentation, and people skills
• Proficiency in Excel and Python Coding
• Strong understanding of the Oil Tanker market and freight analysis

Interested candidates may apply through the application system. We regret to inform only shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.