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Senior Data Operations Analyst

NIQ Global Intelligence - Shanghai, SH, China

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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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
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Childcare support
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Learning budget
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Verification
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Salary
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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

Role function
Operations From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
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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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