Executive (Data Quality Management)

4 days ago


Tanglin, Singapore Institute of Policy Studies Full time

The Institute of Policy Studies (IPS) is a policy research think-tank in the Lee Kuan Yew School of Public Policy, National University of Singapore. IPS Social Lab, is seeking to hire an Executive who will oversee the QC data administration and provide support to audit checks of survey fieldwork; will provide day-to-day operational support on QC and data Management. This individual will report to the Head of the IPS Social Lab and Senior Associate Director. IPS is looking for a Project Executive for the Social Lab on a yearly renewable contract.

**The job scope includes**:

- Manage projects, including performing QC checks / audits on interviewers via telephone validations, audio audits, onsite checks, observations.
- Supervise Data and QC Team to ensure that work is done in accordance with project specifications.
- Review, rectify data discrepancies and upkeep multiple datasets by compiling, cleaning, and sorting information according to establish data fields to support the overall data management.
- Scripting and User Acceptance Testing (UAT) - Checking, formatting, reviewing and testing survey links for questionnaire.
- Ensuring data consistency and accuracy across multiple variables and different datasets in accordance with project specifications and the conventions used within the dataset.
- Performing data coding, cleaning and processing to ensure that it is in accordance with industrial standards of SSOC and SSIC or the related code frame provided.
- Managing longitudinal panel data, including merging and stacking of panel data, across different waves via syntax.
- Operational Data Analysis and Reporting: Using SPSS/Excel to perform data validation and updates on key variables to identify issues related to data collection and quality to generate quality reports.
- Using SPSS to visualise relevant key variable using tables, or other relevant visualisation tools, to identify possible issues/ understand the breakdown of these key variables for decision making.
- Training interviewers in accordance with project’s specification to ensure that the quality of interviews is kept at high standards.
- Provide timely feedback to the Field team based on the validation results to rectify any data discrepancies.
- Evaluate and generating report for the quality of data collected by the interviewers.
- Liaise with vendors on project-related logistic matters.
- Liaise with clients to process data within their requirements.
- Assist in vetting of translation on survey questionnaires when required.

**Applicants must**:

- Must have at least a bachelor’s degree or equivalent qualification.
- Must have at least 3 years experience working with data related to government-related research projects and longitudinal panel datasets.
- Must have at least 3 years experience in market research field
- Must have experience in coding SSOC & SSIC.
- Have prior experience in training of new staff.
- Must be keen and interested in data analysis.
- Must possess strong data management skills; have strong computer knowledge, programming knowledge and web development experience in SPSS, Python, R and HTML.
- Must know how to use and have experienced using Case Management System, SPSS DimensionNet and Qualtrics for Data Collection; have solid knowledge of writing SPSS syntax for data logic check and data processing.
- Must be fluent in at least 2 languages in terms of speaking, writing and listening.
- Must be meticulous and good with details.
- Must have the ability to prioritise workload, be resourceful in getting things done to meet deadlines and cope well with stress.

**To Apply**

Please submit your cover letter and curriculum vitae.

Your cover letter/CV should include details such as your highest qualifications, last drawn salary, expected salary, and reasons for leaving your last/current position. Please also state when you expect to be able to begin work if this position is offered to you.

**Salary**: $3,000.00 - $4,000.00 per month

Schedule:

- Monday to Friday

Supplemental Pay:

- Performance bonus



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