Junior Data Analyst
1 week ago
**WHAT IS INVOLVED**:
Shipping is the glue that keep the global trade together and managing freight costs and risks is a key
element of strategy for any player in commodity markets. Research & data analytics are a rapidly
growing portfolio at BRS Group with plenty of opportunities to grow. If this interest you, we’d love to hear
from you
**WHAT WE’RE LOOKING FOR**:
At a daily basis, the Data Analyst will develop & be responsible for BRS Group’s Drybulk Research freight
& commodity database(s) & models. Ensure the smooth publication of the BRS Drybulk Monthly
Newsletter. You will be working alongside with other analyst(s) to cover the outlook of Iron ore / Coal /
Grains in the Drybulk Freight market. Other minor bulk commodities would be covered from time to time
depending on commercial request(s). In addition, you will also be keeping track of vessel supply
(deliveries/orderbook /demolition) and freight prices. Lastly, we offer an open & collaborative working
environment whereby each Analyst is encouraged to take initiative, to develop & take ownership of
greenfield projects that can bring BRS Drybulk Research to the next level.
**KEY RESPONSIBILITIES**:
Development and maintenance of various analytical models relating to freight and commodities
Identify maritime and/or commodity data sources to bolster BRS database
Developing an in-house screen to facilitate real-time information exchange within BRS Group
Provide our broker(s) & clients with up-to-date data/information on Freight & Commodity market(s)
Involved & support team members in preparing presentations, delivered to key clients / management
Developed and maintained BRS Drybulk Monthly Newsletter with a detailed approach
Work effectively with the Research Team across different offices to meet deliverables
**SKILLS AND EXPERIENCE**:
Fresh graduate(s) are strongly encouraged to apply
Degree in Business, Business Analytics / Maritime Business / Trading or related areas
Proficiency in Microsoft Office / BI- based business tools needed. Python / SQL will be advantageous
Knowledge of the freight and commodity sectors useful
Ability to work effectively with management and colleagues across various offices to meet targets in a
fast-paced deadline-driven environment
Self-starter, team player with very good time management and quality control skills
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