Data Operations Assistant
About Re-Hub
Re-Hub empowers global luxury and premium brands in China with market and competitive insights to inform their strategy and generate growth opportunities.
Our proprietary platforms provide comprehensive coverage of China’s digital ecosystem:
- COMPASS – Brand performance benchmarking platform
- SPECTRUM – Grey market monitoring platform
- SENTINEL – Pre-owned product tracking platform
Our clients include top-tier brands such as CHANEL, LOUIS VUITTON, GUCCI, and COACH.
About the Role
We are looking for a detail-oriented Data Operations Assistant to support our data workflows and contribute to delivering high-quality, insight-driven solutions to our clients. You will work closely with the Data and Strategy teams, under the supervision of our Data Manager. This position is remote, offering flexibility and the opportunity to gain hands-on experience with real-world data projects in the luxury industry.
Responsibilities
- Perform data entry and data labeling
- Support the training of machine learning models by labeling data and maintaining consistent tagging practices
- Conduct quality assurance checks to validate and verify data accuracy of data sets, such as e-commerce or social media
- Execute ad-hoc online research, using search engines, social media, and AI tools to summarize findings on specific topics
- Assist in gathering and cleaning data from external sources based on clearly defined guidelines
- Follow standard operating procedures (SOPs) to complete tasks using internal tools, Excel, and web browsers
Skills & Experience
- Native Mandarin Chinese speaker, with strong reading skills in English
- Able to handle repetitive and detail-oriented tasks with patience and dedication
- Familiar with social media and ecommerce ecosystem in China
- Proficient in Microsoft Excel and web-based tools
- Ability to work under pressure
- Responsible, proactive, and eager to learn
What we offer
- Remote work opportunity with flexible hours
- Exposure to projects from world-renowned luxury brands
- Real-world experience in data operations and digital research
Be part of a passionate, multicultural,