NielsenIQ
Technology
SeniorDataOperationsAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Operations Analyst at NielsenIQ. Skills: Data Operations, SQL, Data Warehousing. Monitor and maintain data pipelines. Ensure data quality and integrity”
What You'll Achieve.
Ensure data accuracy; Improve data pipeline efficiency; Maintain high data quality standards
Industry & Context.
Troubleshooting; Root Cause Analysis
What They're Looking For.
Must Have
5+ years of experience in data operations, Bachelor's degree in a quantitative field, Proficiency in SQL, Experience with data warehousing concepts
Nice to Have
Master's degree preferred, Experience with cloud data platforms, Familiarity with ETL/ELT processes, Experience with data governance principles
What You'll Do.
Monitor and maintain data pipelines
Ensure data quality and integrity
Troubleshoot data-related issues
Optimize data processes
Collaborate with data engineers and analysts
Develop and maintain data documentation
Support data governance initiatives
Implement data quality checks
How You'll Work.
Team & Collaboration
Data engineers; Data analysts; Cross-functional teams
Communication Scope
Technical Documentation
Full 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 errors, and propose actionable solutions to improve end-to-end process reliability. * Liaise with local (CN) and global team members to ensure requirements are aligned, issues are escalated, and progress is well communicated and monitored to minimize disruption or delays. * Adhere to strict timelines and proactively anticipate, troubleshoot, overcome and/or escalate project cha
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