数据分析师 实习生
Data Analyst Intern
Portcast 是一家位于新加坡的物流科技初创公司，由风险投资支持，致力于打造一个实时运输可视化的平台，服务于全球供应链。我们帮助发货人、制造商和物流服务提供商将数据转化为决策，并将决策转化为可衡量的业务影响。
我们的平台超越了可视化。Portcast 通过提前揭示正确的风险，使团队能够防止滞期费和延滞费，加快异常处理，并通过内置证据更快地完成发票结算，从而实现规模化行动。我们将可视化转化为成果：降低成本、提高运营控制力，并使供应链更加可预测。
自2018年成立以来，我们得到了领先的科技投资者的支持，正在为一个正处于数字化转型关键转折点的行业打造解决方案。我们的软件工程师、数据科学家和物流专家团队正致力于让供应链不仅可见，而且可以果断行动：端到端。
关于该职位：
Portcast 依赖数据运行，我们的系统能预测集装箱何时、何地、为何以及会延迟多少天，客户信任这些预测来做出可操作的决策。这种信任取决于底层数据的干净、连接和可靠。
作为我们的数据分析师实习生，你将加入数据团队，与我们的数据分析师和数据科学家紧密合作，向数据负责人汇报。你的重点将是数据集成和质量，将新的数据源连接到我们的系统中，检查我们摄入的数据是否存在缺口和异常，并支持保持预测准确性的 QA 和自动化工作。这是一个实践性很强的学习岗位：你不会只是被交给一份清单。当数据看起来有问题时，我们会希望你深入探究原因，而不仅仅是标记它。在这里，好奇心和努力比已经知道一切更重要，表现优异的实习生有真正的转正路径。
加入 Portcast，成为一支高绩效团队的一员，通过尖端的预测分析技术，共同塑造物流和航运行业的未来！
你将负责：
- 检查摄入和系统生成的数据是否存在异常和缺口，并协助追踪其来源。
- 协助构建和运行 QA 检查、报告生成和自动化流程，使用 Python 和 SQL。
- 协助数据分析师处理日常客户数据查询和仪表板维护。
- 支持新数据源的集成，将承运商和市场数据连接到我们的系统，在指导下进行操作。
查看英文原文
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.
ABOUT THE ROLE:
Portcast runs on data, our engine predicts when, where, why, and by how many days a container will be delayed, and our customers trust those predictions to make actionable decisions. That trust depends on the data underneath being clean, connected, and reliable.
As our Data Analyst Intern, you'll join the Data team and work closely with our Data Analysts and Data Scientists, reporting to our Data Lead. Your focus will be on data integrations and quality, connecting new data sources into our system, checking the data we ingest for gaps and anomalies, and supporting the QA and automation work that keeps our predictions accurate. This is a hands-on learning role: you won't just be handed a checklist. When something in the data looks off, we'll want you to dig into why, not just flag it. Curiosity and effort matter more here than knowing everything already and exceptional A+ player interns have a real path to a permanent role.
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!
WHAT YOU'LL OWN:
- Check ingested and system-generated data for anomalies and gaps, and help trace them to the source.
- Help build and run QA checks, report generation, and automations using Python and SQL.
- Assist the Data Analysts on day-to-day customer data queries and dashboard upkeep.
- Support new data-source integrations, connecting carrier and market data into our system, with guidance from the team.
- Document what you build and what you find, so the team can rely on and reuse your work.
WHAT WE'RE LOOKING FOR:
- Currently pursuing (Final-year student) or recently completed a degree in Computer Science, Data Analytics, Data Science, Engineering, Information Technology, Statistics, or a related field.
- Working knowledge of Python and SQL, you don't need years of experience, but you should be able to write a query and a script and want to get sharper fast.
- Prior internship experience in a Data Analyst or Business Analyst role, preferably in a product-based, lean startup particularly in logistics, ecommerce or B2B SaaS data-heavy domain.
- Willing to learn over "already knows everything": we hire interns for curiosity and effort. You put in the work to understand our domain, product, data, and customers.
- Curious by Default: when the data surprises you, you chase the why. You ask good questions early and treat every gap as something worth understanding.
- You own your output, AI included. You can use AI tools to move faster, but you read and validate what they produce, you don't just paste it. If one day the tool isn't there, you can still write the query yourself. You can explain what you did and why, without saying "the AI did it."
- An eye for detail: you notice when a number looks wrong before anyone else does.
- Empathy and urgency: you understand that clean data is what customers are counting on, and you move promptly day to day.
- Fluent in written and verbal English, and comfortable working in a diverse, fully remote team.
WHAT'S IN IT FOR YOU:
- Real work from day one: you'll touch live data and integrations that customers actually depend on.
- Mentorship: you'll learn directly from our Data Analysts and Data Scientists.
- A path to permanent: strong & exceptional A+ player interns here have a real shot at converting to a full-time role.
- Globally distributed, lean team remote-first flexibility: work with a fully distributed team across Asia and Europe, built on trust, accountability, and collaboration.
Our CORE Values Guide Everything We Do:
- Curiosity: We read the data before we trust it. We dig into why a number looks the way it does, not just how to make the anomaly disappear.
- Ownership: We act like owners, not ticket-takers. We stay on a problem until it's actually fixed at the source.
- Raising the bar: We don't settle for a report that only works this once. We aim for data pipelines and dashboards that are reliable, reusable, and easy for the team to trust.
- Effectiveness: We focus on analysis that creates real product and customer impact. We prioritize the right problems, make practical trade-offs, and ship work that improves outcomes, not just output.