Portcast is a venture-backed Singapore based startup that develops predictive supply chain technology for the logistics industry. We’re focused on building the next-gen logistics operating system to predict how cargo moves across the world and enable data-driven supply chain planning. Based out of Singapore, we’ve been building together since 2018, and are backed by some of the major investors in the tech industry, we believe that the logistics industry is at the inflection point of large-scale digitization.
Our mission is to transform international supply chains to be more resilient by helping logistics companies realize the full potential of their data. We cater to both shipping lines and cargo airlines, covering 90% of the world trade volume that travels via ocean and 35% of world trade value that travels via air. We use proprietary machine learning algorithms and real-time external market data (such as economic indices, marine weather, satellite-based data, etc.) to predict how much cargo will be shipped, when it will arrive, and deliver actionable insights.
About the Role:
You will be joining the Data Science team in this critical role of data management, quality assurance, and analytics. You will work on a data-heavy product that offers our customers end-to-end visibility of their cargo at each step of the ocean movement. Our prediction engine answers when, where, why, and by how many days the container would be delayed. You will ensure that the data ingested in the model and shared with the customers is error-free and of the highest quality. You will own internal performance dashboards and automation processes.
The right candidate would have experience in data analysis or data analyst roles, preferably in a startup environment, and possess a high level of ownership, efficiency, and a data-driven mindset. You will be analytical, comfortable with a fast-moving organization, and eager to collaborate with different teams to drive impact across the organization.
As a Data Analyst, you will:
To thrive in this role, you must have:
If this role sounds like you, then we would love to hear from you to discuss this great opportunity!
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