Specialist, Data Science and Analytics (with Engineering Focus)
At a glance
Mid-level Data Science role at GoGoX. Hong Kong · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Gather and prepare operational, customer and market data, then analyze it for logistics and business insights
- Examine delivery routes, driver performance and costs to find ways to improve logistics operations
- Use customer behavior patterns to recommend improvements to customer experience and retention
- Build dashboards and reports that track KPIs, and explain findings to stakeholders
- Maintain data pipelines, warehouse schemas and workflow automation while addressing data quality and flow issues
What you bring
- At least one year in data science or analytics, including hands-on data pipeline development
- Expert-level SQL, plus Python skills for data work and scripting
- Practical ETL/ELT knowledge and experience with automation tools such as Airflow or Prefect
- A relevant technical degree is preferred, with statistics and mathematics also accepted
- Fluent written and spoken English and Cantonese for collaboration across local and international teams
Who this fits
This role suits someone who combines analytics with practical data engineering, including pipeline development and SQL schema work. You’ll work across departments and communicate findings to stakeholders. The position is based in Hong Kong.
From the employer
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.
- 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.
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