Retail Data Auditor (Onsite) — Flexible Hours & Field Impact

NielsenIQ; Malaysia; On-site; MYR 28,000 - 50,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ in Malaysia is seeking a field data collection specialist to conduct in-store data collection and retail audits, recruit and maintain panel stores, distribute incentives, and build strong retailer relationships.

You will support auditor hiring, training, supervision, and performance monitoring; handle ad-hoc requests and administrative tasks; ensure data quality by revisiting stores and troubleshooting, and collaborate with MDQC, Data Ops, Data Sci, and CSM to uphold reporting

Qualifications

• 2+ years' experience in data collection or retail environment.
• Strong communication skills in Bahasa Melayu and English.

Responsibilities

• Conduct in-store data collection and retail audits.
• Recruit and maintain panel stores, distribute incentives, and build strong retailer relationships.
• Support auditor hiring, training, supervision, and performance monitoring.
• Handle ad-hoc requests, UC processes, and administrative tasks (cash advances, liquidation, etc.).
• Ensure data quality by revisiting stores, troubleshooting issues, and supporting backend systems.
• Collaborate with teams (MDQC, Data Ops, Data Sci, CSM) to uphold reporting integrity.
• Contribute to team learning, share best practices, and support continuous improvement initiatives.

Skills

Data collection

Retail environment

Fieldwork coordination

Bahasa Melayu

English

Education

SPM/STPM

Certificate/Diploma or higher

Tools

Google Suite

MS Office

Skype

Job description

NielsenIQ in Malaysia is seeking a field data collection specialist to conduct in-store data collection and retail audits, recruit and maintain panel stores, distribute incentives, and build strong retailer relationships.

You will support auditor hiring, training, supervision, and performance monitoring; handle ad-hoc requests and administrative tasks; ensure data quality by revisiting stores and troubleshooting, and collaborate with MDQC, Data Ops, Data Sci, and CSM to uphold reporting