Portcast is a venture‑backed logistics technology startup headquartered in Singapore. Founded in 2018, the company builds a real‑time transportation visibility platform that helps shippers, manufacturers and logistics service providers turn raw data into actionable decisions. By predicting container delays, surfacing risks early and automating exception management, Portcast enables its customers to cut detention and demurrage costs, accelerate invoice closure and achieve more predictable supply chains. Backed by leading technology investors, the firm combines deep domain expertise in shipping with cutting‑edge data science, AI and cloud engineering to create a truly end‑to‑end solution for global trade. The Data Analyst Intern role sits within the core Data team that powers the predictive engine. Reporting to the Data Lead, the intern will work side‑by‑side with senior Data Analysts and Data Scientists, gaining hands‑on exposure to large‑scale data pipelines, quality assurance frameworks and customer‑facing analytics. The position is designed as a learning‑by‑doing experience – interns are expected to own real tasks, not just shadow. When anomalies appear in the data, the intern will investigate root causes, propose fixes and document findings so the team can prevent recurrence. This blend of curiosity‑driven problem solving and practical implementation makes the role ideal for students who want to transition from academic projects to production‑grade analytics. Key responsibilities include: 1. Monitor ingested and system‑generated data for gaps, inconsistencies and outliers. 2. Trace data quality issues back to source systems and work with engineering to resolve them. 3. Develop and maintain automated QA checks, reports and dashboards using Python and SQL. 4. Assist Data Analysts with ad‑hoc customer queries and dashboard upkeep. 5. Support integration of new carrier and market data sources, following documented pipelines. 6. Write clear documentation for scripts, data flows and troubleshooting guides. 7. Participate in code reviews and contribute to best‑practice standards for data handling. 8. Collaborate with cross‑functional teams (Product, Engineering, Customer Success) to understand data requirements. 9. Continuously improve data validation processes based on feedback and observed patterns. 10. Stay updated on emerging data tools and suggest enhancements to the stack. The tech stack revolves around Python (pandas, numpy), SQL (PostgreSQL/BigQuery), Airflow for orchestration and Git for version control. Exposure to cloud platforms (AWS/GCP) and containerisation (Docker) is a plus. Successful interns often receive a full‑time offer, progressing to Data Analyst or Junior Data Scientist roles, with clear mentorship pathways and opportunities to lead larger data projects. Joining Portcast means working in a globally distributed, remote‑first environment that values curiosity, ownership and impact – perfect for fresh talent eager to shape the future of logistics through data.