Data Analyst Intern

Portcast’s interview process typically starts with a timed online assessment focusing on aptitude, SQL and basic Python. The technical interview dives deeper into data cleaning, QA automation and scenario‑based problem solving, often with live coding. The final HR round assesses cultural fit, curiosity and communication skills. Candidates who demonstrate analytical rigor and a proactive attitude tend to succeed.

Portcast promotes a remote‑first, trust‑based culture where engineers and analysts enjoy high autonomy and clear ownership of their work. The company encourages continuous learning, offers mentorship and provides ample growth opportunities as the business scales globally. Work‑life balance is respected, with flexible hours and a focus on results rather than rigid schedules.

Final‑year undergraduate or recent graduate (2025‑2027) in Computer Science, Data Science, Statistics, Information Technology, Engineering or related fields; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs; strong analytical mindset; fluent in English (written & verbal).

Round 1: Online assessment (aptitude, SQL & Python basics) → Round 2: Technical interview (data quality, QA automation, problem solving) → Round 3: HR interview (culture fit, motivation, career goals)

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. Backed by leading technology investors, Portcast combines advanced predictive analytics with a deep understanding of global supply chains to reduce costs, improve operational control and make supply chains more predictable. The team is lean, globally distributed and operates in a remote‑first mode, allowing talent from across Asia and Europe to collaborate on high‑impact problems. As a Data Analyst Intern, you will become an integral part of the Data team that powers the core prediction engine. The role is hands‑on and goes beyond routine checklist tasks – you will be expected to investigate data anomalies, build quality assurance pipelines, and support the integration of new carrier and market data sources. You will work closely with senior Data Analysts and Data Scientists, gaining mentorship while contributing to live production systems that customers rely on daily. Key responsibilities include: 1. Inspect ingested and system‑generated data for gaps, anomalies and inconsistencies, and trace issues back to source systems. 2. Develop, maintain and automate QA checks, reporting scripts and dashboards using Python and SQL. 3. Assist Data Analysts with ad‑hoc customer queries, data extractions and dashboard upkeep. 4. Support the onboarding of new data sources, ensuring seamless integration with existing pipelines. 5. Document data flows, scripts, and findings to enable knowledge sharing across the team. 6. Participate in code reviews and contribute to improving data‑pipeline reliability. 7. Collaborate with cross‑functional teams to understand business requirements and translate them into technical solutions. 8. Continuously learn and apply new tools, including AI‑assisted coding, while validating outputs manually. 9. Provide timely updates on data quality issues and propose corrective actions. 10. Contribute ideas to enhance the overall data strategy and product roadmap. The tech stack revolves around Python (pandas, NumPy), SQL (PostgreSQL/BigQuery), version control (Git), and data‑visualisation tools such as Tableau or PowerBI. Exposure to cloud platforms (AWS/GCP) and containerisation (Docker) is a plus. Successful interns often transition to full‑time roles, moving from data quality tasks to more advanced analytics, model validation and product ownership. Joining Portcast offers the chance to work on cutting‑edge predictive logistics, receive mentorship from seasoned data professionals, and be part of a culture that values curiosity, ownership and impact.