Specialist, Data Science and Analytics (with Engineering Focus)

GoGoVan; Hong Kong; On-site; HKD 360,000 - 600,000; Full time

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

We are seeking a highly motivated and analytical Specialist, Data Science and Analytics to join our team in Hong Kong. You will be responsible for collecting, analyzing, and interpreting large datasets while also taking on minimum data engineering responsibilities to ensure data quality and flow. You will work closely with various departments to optimize our logistics operations, improve customer satisfaction, and drive business growth through both insights and infrastructure support.

What You'll Deliver

Core Data Science and Analytics:

• 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 key performance indicators (KPIs) and track business performance using data visualization tools (Tableau, Power BI, etc.).
• Present findings and recommendations to stakeholders in a clear and concise manner.

Minimum Data Engineering Support

• Develop, maintain, and optimize ETL/ELT pipelines to ingest, transform, and load operational data into our analytical platforms.
• Design and manage data schemas in SQL databases and data warehouses to ensure scalability and query performance.
• Monitor data pipeline health and performance, proactively identifying and resolving data flow issues and quality anomalies.
• Automate data workflows and infrastructure setup using tools like Airflow or cloud-native scheduling services.

Who You Are

• Bachelor's degree in Computer Science, Data Science, or a closely related technical field is highly preferred. Degrees in Statistics or Mathematics are also acceptable.
• Minimum of 1 year of relevant experience in data science and analytics, with demonstrated experience in data pipeline development.
• Expert proficiency in SQL for data querying, manipulation, and schema design/optimization.
• Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn) for both data manipulation and scripting/pipeline tasks.
• Experience with data visualization tools (Tableau, Power BI, etc.).
• Strong practical experience with ETL/ELT pipeline concepts and automation tools (e.g., Airflow, Prefect, or cloud-native services).
• Good communication skills in English and Cantonese (written and verbal) are necessary to collaborate effectively with local and international teams.
• Experience with real-time data analysis is a plus.
• Experience with spatial data analysis is highly desirable.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Experience with Git or another version control system.

What We Offer

• A diverse, multi-cultural team that values collaboration and innovation.
• Opportunities for continuous learning and professional development in modern data engineering tools.
• The chance to build the data foundation that powers impactful business decisions.
• Contribute to the growth of a leading technology-driven logistics platform in Asia.
• Work on an exciting and high-impact product used by thousands of users.
• Opportunity to work with cutting-edge technologies and shape data infrastructure.
• Dynamic and international work environment.