Logistics Data Science & Analytics Specialist

GoGoVan

Hong Kong

On-site

HKD 360,000 - 600,000

Full time

14 days+

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Benefits offered by this job

Diverse team
Professional development

Job summary

GoGoVan is seeking a highly motivated Specialist, Data Science and Analytics in Hong Kong to collect, analyze, and interpret large datasets while supporting data engineering tasks to ensure data quality and flow across the business. You will collaborate with multiple departments to optimize logistics operations and drive growth through insights and infrastructure support.

You will build dashboards and reports, perform analyses of delivery routes and customer behavior, and develop scalable data

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or closely related technical field preferred.

Responsibilities

  • Collect, clean, and analyze large datasets from various sources (operational, customer, market data).
  • Conduct in-depth analysis of logistics operations, including delivery routes, driver efficiency, and cost optimization.
  • Analyze customer behavior and identify trends to improve customer experience and drive customer retention.
  • Perform spatial data analysis to optimize delivery routes and improve logistics efficiency.
  • Develop and maintain business analytics dashboards and reports to visualize KPIs and track business performance using Tableau, Power BI, etc.
  • Present findings and recommendations to stakeholders clearly.

Skills

SQL
Python
Tableau
Power BI
ETL/ELT
Airflow
Prefect
Git
Data visualization
English
Cantonese

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow
Prefect
Tableau
Power BI

Job description

GoGoVan is seeking a highly motivated Specialist, Data Science and Analytics in Hong Kong to collect, analyze, and interpret large datasets while supporting data engineering tasks to ensure data quality and flow across the business. You will collaborate with multiple departments to optimize logistics operations and drive growth through insights and infrastructure support.

You will build dashboards and reports, perform analyses of delivery routes and customer behavior, and develop scalable data

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