Senior Data Operations Analyst
NIQ Global Intelligence - Shanghai, SH, China
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $61,842 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +1.9% - Slower
Matched to SOC 11-1021 - Operations aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Data Operations Analyst Shanghai, SH, China Company Description: Job Description: We are looking for a passionate associate to join the Data Operations team at NielsenIQ as (Sr.) Data Operations Analyst (AI & Automation). We are looking for an associate who has strong hands-on experience with AI/GenAI tools, is interested in leveraging AI to drive operational excellence, and thrives in a collaborative and fast-paced environment. The role as a (Sr.) Data Operations Analyst will support our data coding and quality initiatives in the APAC Region and will be situated in our Shanghai, China office. At NielsenIQ, we put our clients at the center of what we do, we work hard, and everyone contributes to a team environment of learning and fun. As a Data Operations Analyst, you will be leveraging AI-powered workflows and automation to enhance item coding accuracy, streamline data processes, and collaborate closely with both local and global teams to ensure smooth and quality project execution from data intake through delivery. Responsibilities Leverage GenAI tools (e.g., LLMs, Copilot, ChatGPT, etc.) to improve data coding accuracy, automate repetitive tasks, and streamline operational processes. Design, test, and refine prompts to achieve high-quality, consistent outputs in production-level coding workflows (prompt engineering). Use Python, SQL, or similar tools to process, clean, and transform large-scale datasets; develop automation scripts to support daily operations. Build and maintain dashboards (e.g., Power BI) and perform data analysis to track operational KPIs such as accuracy, completion rates, and delivery timelines. Monitor data quality, identify root causes of
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