1. Data mining and analysis
- Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
- Clearly communicating the findings from the analysis to turn information into action through visualized /graphic reports, dashboards, and/or presentations.
- Preparing KPI report and continuously tracking campaign performance evaluation.

2. Business Strategy and Sales
- Product category/ segmentation/ behavior analysis to explore member insights and opportunity to increase sales through using various techniques and approaches.
- Understanding the business requirements, through using model/ segmentation data analysis to explore the fact to answer specific business answers/requirement.
- Using A/B testing model to apply to each campaign and quantified valuable result and sales.
- Keeping up to date with knowledge of CRM Data Analytics trends and advising on new approaches to adopt.

3. Cross function Communication
- Working closely with cross-functional teams to ensure effective communication and coordination of CRM Data Analytics initiatives.
- Cross function data analysis (product view, sales view) support for seek uncover opportunities.

4. BI reporting and CRM platform enhancement
- CRM report BI tools and report build up for member performance/ sales performance/ campaign evaluation automatically.
- CRM campaign automation platform management and identify areas to increase efficiency and automation of processes

1. Minimum education requirement
- Bachelor degree required from Mathematics, Statistic , Economic, Information science, Computer Science, Information Management.

2. Relevant experience and minimum years required
- A minimum of 2-5 years relevant experience
- Proficiency in using query languages: strong SQL skills. Knowledge of statistics and experience using statistical packages for analyzing datasets. (Python, R, etc.)
- Possess a keen sense for numbers and the ability to uncover potential business opportunities within them.
- Experience with experimental design.
- Experience with statistical and machine learning techniques.
- Independently perform daily tasks.

3. Basic skills requirements/Competence Requirements
- Strong business sense adoption to understand business needs and target.
- Good statistical, mathematical and logical reasoning skills.
- Have strong logical thinking abilities, capable of independently identifying, defining, and solving problems skills.
- Including but not limited to the ability to use Python/R and SQL to solve business problems in their work.
- Team work and capable to work alone to complete project
- Self-motivated with the energy and ability to take initiative on relevant issues.
- Good English verbal and written skills.