Senior Executive / Assistant Manager (Data Quality Management)

About the role

The Institute of Policy Studies (IPS), an autonomous research institute within the National University of Singapore, is hiring a Senior Executive / Assistant Manager (Data Quality Management) for its Social Lab. The appointee assists the Assistant Senior Manager in running the Data/QC team's daily operations so that high-quality data is delivered on time. The role covers quality control, data administration and audit checks on survey fieldwork, with exposure to advanced data processing and analysis.

Key responsibilities

• Manage QC data for assigned projects, coordinating freelancers for telephone validations, audio audits, onsite checks and observations
• Supervise the Data and QC team and ensure work follows project specifications
• Review, clean and rectify data discrepancies across datasets, and ensure data consistency and accuracy
• Conduct User Acceptance Testing (UAT) for survey links and questionnaires
• Code, clean and process data according to SSOC and SSIC or other code frames and data dictionaries
• Manage longitudinal panel data by merging and stacking waves using syntax
• Analyse and report operational data with SPSS/Excel, and prepare quality reports and visual summaries
• Train interviewers, give feedback to the Field team, evaluate data quality and liaise with vendors and clients
• Vet survey questionnaire translations when needed and carry out other QC duties as assigned

Required profile

• Bachelor's degree or diploma with relevant work experience
• Experience in SSOC and SSIC coding
• Fluent in at least two languages, written and spoken
• Meticulous, detail-oriented, able to work under pressure, with strong organisation and time management

Required skills

• SPSS, Python, R and HTML
• Case management system, SPSS DimensionNet and Qualtrics
• SPSS syntax for data validation, quality checks and processing

To apply, upload a cover letter and CV through the NUS Career Portal, including highest qualification, last drawn salary, expected salary, reasons for leaving and expected start date. Only shortlisted candidates will be invited to an interview.