SINGAPORE UNIVERSITY OF SOCIAL SCIENCES

Executive/Senior Executive

Location
Singapore
Posted
15 Jul 2021
End of advertisement period
23 Jul 2021
Ref
582982210
Contract Type
Permanent
Hours
Full Time

Quality Assurance Unit

Job Description

  • Conduct mining and analysis on the semesterial open-ended student textual feedback on Learning Resources using the existing text analysis model to identify upcoming topics and sentiments;
  • Develop and improve the text analysis model with newly discovered trends and sentiments
  • Produce lists of grouped comments made by students pertaining to each relevant department
  • Produce a communique to students on prevailing sentiments based on department replies to the student comments;
  • Produce a report each semester to management on student sentiments and trends based on analysis done on the student feedback;
  • Produce a report each semester to management on quantitative ratings given by students on various aspects of Learning Resources, including trends of these scores across semesters;
  • Assist the Head, Quality Assurance Unit in any ad-hoc duties given from time to time, e.g. to assist the schools, departments or related entities in their quality audit tasks;
  • Coordinate, obtain, analyse and prepare for presentation of the data and information, performance indicators, etc., as required for meetings and reports;
  • Perform general co-ordination and admin tasks to support the five-yearly Quality Assurance Framework for Universities (QAFU) review exercise conducted by MOE0.
  • Explore possible new quality or compliance themed analytics initiatives

Job Requirements

(a) Academic Education

  •  Bachelor’s Qualification in IT / Computer Science / Software Engineering / Computer Engineering / Statistics / Mathematics / Business / Business Analytics

(b) Technical Skills & Experience

  • Proficient in Microsoft Office applications and Adobe Acrobat
  • Proficient in or Experience with Natural Language Processing – including Text and Sentiment Mining
  • Proficient in Statistical and Data Analysis
  • Experience in some or all of the following tools will be advantageous:
    • Data Visualization tools such Power BI / Tableau
    • Open-source data mining tools such as Python and R
    • Enterprise grade mining tools such as SAS, SPSS and JMP
    • Lean six-sigma and Operations Management

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