About the job

About the Role

Our client is a well-established internet platform company operating in the logistics and freight-matching space across multiple markets. They are looking for a Data Analyst to join their regional team, supporting data-driven decision-making across business strategy, operations, and risk management. This is an exciting opportunity to work at the intersection of analytics, product, and operations - with direct impact on platform efficiency, pricing, and integrity. The role offers exposure to complex, large-scale marketplace data and close collaboration with cross-functional teams including algorithm, product, and risk strategy.

Key Responsibilities

Drive end-to-end data analysis across key business domains including transaction matching efficiency, pricing strategy, freight operations, and platform risk management
Identify patterns, anomalies, and opportunities in large-scale marketplace data translate findings into actionable recommendations and strategy proposals
Design and evaluate A/B experiments, grey-scale releases, and causal inference frameworks to scientifically measure the impact of product and operational strategies
Build and maintain core metrics frameworks and monitoring dashboards covering multiple markets, proactively detecting anomalies and diagnosing root causes
Support risk and fraud analysis by identifying suspicious behavioural patterns, assessing rule and model effectiveness (e.g. intercept rate, false positive rate, financial loss), and driving iterative improvements
Develop reusable analytical frameworks, documentation, and tools to improve team-wide analytical efficiency and knowledge sharing
Collaborate closely with algorithm, product, operations, risk strategy, and engineering teams - including counterparts at headquarters - to ensure analytical insights are implemented and tracked
Continuously optimise experimental design methodologies, analytical approaches, and tooling to improve decision-making speed and conclusion reliability

Requirements

Bachelor's degree or above in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
Proficiency in SQL is essential working knowledge of Python for data processing and analysis is required familiarity with big data platforms such as Hive, Spark, or equivalent tools (is a bonus)
Experience in internet platforms, transaction marketplace, logistics, or fintech industries is preferred prior exposure to risk management or anti-fraud analytics (is a bonus)
Strong business acumen with the ability to break down ambiguous problems, form hypotheses, validate with data, and translate insights into executable solutions
High sensitivity to anomalous data, with an ability to identify suspicious patterns across user behaviour, transaction flows, and relational networks

If you are passionate about technology and meet the above requirements, please don't hesitate to apply. Please note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

Dada Consultants Pte Ltd

Website: www.dadaconsultants.com

EA License No.: 18S9037

Business Registration Number: 201735941W