ลักษณะงาน
- Conduct data extraction and data gathering from MIS DataBase, OLAP, Data mart and warehouse, and other systems to perform customer and segmentation analysis, including studying of customer' s characteristics, behaviors, and credit standing
- Analyze and recommend effective segmentation to segment management team
- Develop and implement consumer insight to support segment, product and channel Analytic tools used including cluster, decision tree and propensity model, regression
- Prepare and update periodic Correlation reports of credit scoring and payment grading and predict estimated loss
- Advise and collaborate with Application Development & Database Management Team in maintaining high data integrity to support decision support system (DSS)
คุณสมบัติ
- Master's degree in MBA, Computer Science , IT, Statistical or related fields
- Good background in database management skill, MIS
- Solid knowledge and experienced on Statistical tools- SPSS or other related tools
- At least 1-2 years of working experience in MIS, Business Analyst, Business solution analyst, CRM, Data Mining, research marketing and database management
- Strong leadership with highly internal achievement drive
- Good communication, interpersonal and negotiating skills
- Good analytical skills and problem-solving ability
- Able to work independently and work beyond regular hours under deadline pressure