Data Analyst

Dada Consultants Pte Ltd; Singapore; Vor Ort; SGD 60.000 - 100.000; Vollzeit

Zusammenfassung

Dada Consultants Pte Ltd in Singapore is seeking a Data Analyst to drive data-driven decision making across business strategy, operations, and risk management. You will work with cross-functional teams on pricing, platform integrity, and efficiency using large-scale marketplace data.

The role requires Mandarin proficiency for daily collaboration with Chinese-speaking teams at headquarters, and you will design experiments, build dashboards, and develop reusable analytical tools to improve

Qualifikationen

• Bachelor's degree or above in a quantitative field.
• Proficiency in SQL is essential; Python is required.
• Experience with Hive/Spark is a plus.
• Experience in internet platforms or fintech preferred.
• Strong problem solving and data storytelling skills.
• Mandarin proficiency required for cross-border collaboration.

Aufgaben

• Drive end-to-end data analysis across domains including transaction matching, pricing, operations, and risk.
• Identify patterns and translate findings into actionable strategy recommendations.
• Design and evaluate A/B experiments and causal inference frameworks.
• Build metrics frameworks and dashboards across markets.
• Support risk and fraud analysis by detecting suspicious patterns and evaluating models.
• Develop reusable analytical frameworks and share knowledge across teams.
• Collaborate with algorithm, product, operations, risk strategy, and engineering teams worldwide.
• Refine experimental designs and analysis methods to speed decision making.

Kenntnisse

SQL

Python

Mandarin

Data analysis

Statistics

Ausbildung

Bachelor's degree or above in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field

Tools

Hive

Spark

Jobbeschreibung

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
• Proficiency in Mandarin (written and spoken) is required, as the role involves daily collaboration with Chinese-speaking teams at headquarters, including reviewing Chinese-language documents and system materials