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About the Role
As our Data Analyst, you will report directly to our Analytics Manager and work closely with our Data Science, Engineering, Product, and Commercial teams. You'll sit on a data-heavy product that gives customers end-to-end visibility of their cargo across the ocean journey, making sure the data we ingest into the models and share with customers is error-free and of the highest quality. You won't just run the query and close the ticket here. When an anomaly shows up, you'll chase why it's there, trace it to the real source, and fix the process so it doesn't come back. Curiosity isn't a nice-to-have on this team, it's how we build.
Responsibilities
- Documentation, reporting, and root-cause analysis of prediction issues, owning the problem end to end.
- Analyze ingested and system-generated data for anomalies and gaps, and refer to various data sources to plug those gaps.
- Turn data into stories: surface the pattern behind an issue, propose the fix, and own the subsequent plan and execution.
- Automate performance/accuracy review processes, report generation, and data visualization using Python and SQL.
- Support Engineering and Data Science on system-level data fixes.
- Understand how the engine makes predictions, and explore improvements by fixing or introducing new data and features.
- Support Customer Operations and Marketing with insights from the data.
- Maintain and own internal and customer dashboards based on trial/account requirements.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- At least 3+ years in a Data Analyst or Business Analyst role, preferably in a product-based, lean startup environment.
- Exceptionally skilled in Python and SQL, with a demonstrated ability to consistently produce reusable and highly scalable code.
- An eye for detail: proven experience turning messy data into clear visualizations.
- First Principles Thinker: able to explain past decisions, trade-offs, constraints, and alternatives considered.
- Curious by Default: digs deeper instead of following instructions to the letter, chases the why behind data surprises.
- Owns their output, AI included: uses AI tools where they make them faster, reads and validates AI output, and can explain findings without relying on AI.
- Empathy and Urgency: feels the customer's pain and reacts promptly to meet expectations.
- Communicates nuanced ideas clearly, from real-time remote brainstorming to explaining data decisions in writing.
- Experience working in a diverse, dynamic, and cross-cultural team, with a strong ownership mindset, efficiency, and a data-driven approach.
- Good to have: a basic understanding of machine learning algorithms.
Skills
- Python
- SQL
- Data Visualization
- Data Analysis
- Root-cause Analysis
- Machine Learning Algorithms
Location
- Singapore
- Remote
Work Type
- Remote-first
- Full-time
Experience Level
- 3+ years
Education Level
- Bachelor's degree
- Master's degree
Benefits
- Globally distributed, remote-first flexibility
- Work with a fully distributed team across Asia and Europe
- Accelerated growth opportunities
- Impactful work with visible results
About the Company
- Portcast is a venture-backed, Singapore-based logistics technology startup building a real-time transportation visibility platform for global supply chains.
- We help shippers, manufacturers, and logistics service providers turn data into decisions and decisions into measurable business impact.
- Our platform goes beyond visibility. Portcast enables action at scale by surfacing the right risks early, helping teams prevent detention and demurrage, accelerate exception management, and close invoices faster with built-in evidence.
- We turn visibility into outcomes: reduced costs, improved operational control, and more predictable supply chains.
- Founded in 2018 and backed by leading technology investors, we are building for an industry at a critical inflection point of digital transformation.
- Our team of software engineers, data scientists, and logistics experts is on a mission to make supply chains not just visible, but decisively actionable: end to end.
- Join us at Portcast and be part of a high-performing team that is shaping the future of the logistics and shipping industry through cutting-edge predictive analytics!