Salary: 20-30k
Experience requirements: Unlimited experience
Educational requirements:PhD
Job Description:
Job Responsibilities:
1. Responsible for the requirement docking of data systems, mining, guiding, and summarizing requirements, and managing requirement expectations reasonably
2. Responsible for requirement analysis, reasonable abstraction, refinement, summarization, and transformation into system data and functional requirements
3. Responsible for researching and exploring the new retail industry, tracking the latest data model algorithms in the industry, and leading the advancement of data optimization based business
4. Responsible for data business development planning, integrating data from multiple business processes, multiple perspectives, and long-term spans, and organizing data teams to form clear outputs to achieve effective decision-making
5. Responsible for data analysis and business insights on smart marketing traffic, users, activities, and product dimensions in retail, driving smart marketing decisions with data insights
6. The analysis field involves user behavior, product labeling, marketing strategies, user profiling and feature mining, trend prediction, product iteration, etc., providing scientific basis for improving business strategies
7. Based on high-quality data analysis, identify and locate problems for decision-makers, business lines, and product lines, identify patterns, and propose optimization solutions, including but not limited to products, strategies, and algorithms, to ensure project execution and effectiveness
8. Have a keen insight into business gaps, propose solutions and suggestions through data analysis, and implement them effectively
Job requirements:
1. Having agile logical thinking, some communication and coordination skills, expression ability, and teamwork awareness, as well as the ability to analyze and handle complex problems
2. Having excellent logical thinking, strong business insight and sensitivity, strong curiosity, and the ability to integrate knowledge from multiple fields such as business, products, technology, and algorithms
3. Has high data sensitivity and business analysis ability, good reporting and cross team communication skills, and proposes optimization solutions that can be implemented
4. Priority is given to data mining, recommendation systems, machine learning, and statistical backgrounds
5. Good team spirit and adept at communication and expression
Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: 'Name + Position + Company Name + Location'.