Job descriptions: 

• Develop business applications using SAS enterprise guide, SAS Data Integration Studio , SAS Model Implementation Platform (MIP) and other SAS related software. 
• Develop professional deliverables such as Functional Specifications, Data Mapping, E2E Design, Business Rule. 
• Get requirements from customers, then analyze, design, consult, train users and support. 
• Analyze requirements and consult/provide solutions with design of flows, programs or methods. 
• Adapt to changing customer requirements. 
• Provide troubleshooting, Investigate defects and technical advice to clients. 
• Working and collaborating with others on consulting projects and special projects. 
• Collect Business Requirement Document and provide Requirement Traceability Matrix (RTM). 
• Design and develop Extract-Transformation-Loading (ETL).
• Configure and implement the enhancement Model
• Perform Prototype and Unit Test (UIS) document to review result and confirm logic. 
• Maintain and improve system follows Change or New requirement. 
• Support System Integration Test (SIT), User acceptance Test (UAT) and incident on Production by query data and investigate the root cause of incorrect.
• Performs other duties as assigned.

To be successful in this role, you will have the following qualifications & experience:

• Bachelor and/or Master degree in Statistics, Mathematics, Economics, Computer Science, Information Technology, MIS, IT, or any related fields. 
• 2-3 years background experience in data analyst, Banking or any related fields 
• Strong data analysis and problem-solving skills. 
• Excellent written and oral communication, analytical, problem solving and interpersonal skills, including the ability to communicate with users with various technical backgrounds. 
• Good technical skill, preferably in analytic and reporting software such as Base SAS, SAS Model Implementation Platform (MIP) SAS DI would be advantage.
• Knowledge of a variety of data structure, database, and data warehouse (e.g., structure data, unstructured data, data management).
• Experience using programming languages (R, Python, SQL, etc.) to extract, load, and transform data.
• Strong problem-solving skills.
• Motivation, drive, and a self-starting attitude.
• Ability to work in a fast paced, team environment.
• Have a CAN DO Attitude.
• Good time management with strong organizational skills.
• Good command of both written and spoken English.