Job SummaryWe are seeking a critical- thinking Data Analyst to join our team. This role is essential in defining key business metrics, monitoring product performance, and identifying risk factors such as fraud. You will work closely with Data Platform, Product, and Operations teams to interpret complex data into actionable insights, helping GHN maintain its competitive advantage in the e- commerce logistics sector.
Why Join GHN?
At GHN, our highly motivated Data & AI team is dedicated to establishing GHN as the fastest, most reliable, and convenient delivery service in Vietnam. We aim to make data capability a core business driver for operational efficiency, scalability, and customer trust.
About the Data & AI Team
This is a pivotal opportunity to join a rapidly growing e- commerce delivery leader in Vietnam (expected YoY growth >30%). You will be part of a team that embraces cutting- edge technologies and data- driven innovation to solve real- world problems. We offer a dynamic environment where you can leverage your expertise to optimize operations alongside a team of 300 proficient middle managers.
About GHNGiao Hang Nhanh (GHN) is one of Vietnam&039;s leading logistics enterprises, confidently providing superior services: "SMARTER, FASTER, MORE COST- EFFECTIVE." We support millions of businesses in optimizing their operations and create thousands of jobs for the Vietnamese people. Established with the mission to revolutionize the logistics industry, GHN continuously applies advanced technological solutions to streamline operational processes and enhance delivery efficiency.
Key Responsibilities
Analysis & Insights: Perform deep- dive analysis on user behaviors, product performance, and pain points. Apply statistical techniques and domain knowledge to provide actionable recommendations for product and solution development.
Cross- Functional Collaboration: Work closely with the Data Platform team to ensure data accuracy and quality. Partner with Software Engineers and Product teams to validate the impact of solutions (coverage, false positives, drop- off rates) and adapt to changing conditions.
Data Metrics & Reporting: Define key business metrics and build dashboards using visualization tools to track product performance and cross- functional objectives.
Risk & Fraud Monitoring: Monitor and identify abnormal user activities, including fake accounts, promotion abuse, and driver misbehaviors. Collaborate with Risk Strategy & Ops teams to track the effectiveness of rules and policies.
Qualifications
Experience:
Minimum 2 years of experience as a Data Analyst.
Experience working directly with software engineers and cross- functional teams; background in e- wallet, e- commerce, or technical products is a strong plus.
Skills:
Excellent organizational and communication skills, with the ability to manage multiple tasks in a fast- paced environment.
Strong command of SQL (e.g., Google BigQuery) and Python for data analysis.
Familiarity with data orchestration tools like Airflow is a plus.
Experience with BI tools (e.g., Looker Studio) and big data computation engines (e.g., Spark) is preferred.
Ability to think critically, analyze problems with strong attention to detail, and distill insights to meet business needs.
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