Data Operations Analyst (Taiwan) – Flexible, Detail‑Oriented Data

NielsenIQ; Subang Jaya; On-site; MYR 45,000 - 78,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ is a leading consumer intelligence company headquartered globally with a strong presence in 100+ markets. This role supports Reference Data functions, focusing on data cleaning, validation, and category assignment for multiple industries including Beverages, Food, and Health & Beauty.

The Data Operations Analyst collaborates with clients and internal teams to ensure accurate, timely outputs and becomes a category expert through hands-on training and experience.

Qualifications

• Bachelor’s degree in Business Admin / Statistics or any relevant subjects.
• Fresh graduate or 1–2 years’ experience in data/operations are welcome.
• FMCG background or encoder experience is a plus.

Responsibilities

• Handle data input validation for specific industry/category.
• Perform cross coding and item quality checks daily.
• Back-up to other coders and validate item-related information.
• Track and document special instructions for category assignment.
• Plan and manage a complex daily workload to meet schedules.
• Ensure accuracy from validation to database setup and samples management.
• Respond to client questions, liaise with clients and stakeholders to resolve data/process issues.
• Willing to be trained to become a category expert.
• Support Taiwan market.

Skills

Excel

Team collaboration

Attention to detail

Data thinking

Education

Bachelor's degree in Business Admin / Statistics

Tools

SQL

R

Python

Job description

NielsenIQ is a leading consumer intelligence company headquartered globally with a strong presence in 100+ markets. This role supports Reference Data functions, focusing on data cleaning, validation, and category assignment for multiple industries including Beverages, Food, and Health & Beauty.

The Data Operations Analyst collaborates with clients and internal teams to ensure accurate, timely outputs and becomes a category expert through hands-on training and experience.