Mô Tả Công Việc
Primary ObjectivesOptimize customer data to get insights to understand and predict customers behaviours to support business decision makingMain responsibilities
Conceptualize, develop, and maintain models to measure, analyze and forecast performance of customer segments and business initiatives/ policies
Identify, analyze and interpret trends and patterns in customer behaviours/ profile and customer journey
Build machine learning models to support business growth
Based on analysis of customer data, provide recommendations to promote sales and improve customer value management
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Yêu Cầu Công Việc
1. Educational levelUniversity degree in the field of computer science or information systems or in related fields. 2. Knowledge & Experiences
3-5 years of experience in Data warehouse design and implementation
3-5 years of experience in Self-service BI (Power BI)
3-5 years of experience with programming languages like SQL, and Python
Good understanding of database design development, data models
3. Technical skills
Knowledge in Data warehouse, Data processing, Programming, ETL, SQL, Self-service BI, Pỵthon, data algorithms, data model and data structures, business domain knowledge
Good analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Knowledge in machine learning
4. Soft skills
Ability to exercise judgment and discretion when handling confidential information.
Verbal and written superb communication skill.
Time management skill
Conflict resolution skill
Proactive problem solving
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Quyền Lợi
Understanding candidates' expectations of the ideal workplace, we always put the people element at the top of our priorities. Primary benefits:
Attractive KPI Bonus annual
Review Salary and performance annual
16+ Annual Leaves, 5 sick leaves, 1 day off birthday
Full Social Insurance, Annual Medical Check- up, Health insurance
Team Building and company activities: Year- end Party, New-year Party, Company trip, Charity activities
Learning workshops: e-learning, English courses, career development training programs
Sports clubs: gym, yoga, running, football, tennis, badminton