NielsenIQ
Technology
SeniorDataOperationsAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Operations Analyst at NielsenIQ. Skills: Data Operations, Data Quality, Data Governance, SQL. Oversee daily data operations. Monitor data pipelines”
What You'll Achieve.
Ensure data accuracy; Improve data reliability; Enhance data accessibility
Industry & Context.
Troubleshoot data issues; Root cause analysis
What They're Looking For.
Must Have
5+ years of experience in data operations, Bachelor's degree in a relevant field, Proficiency in SQL, Experience with data warehousing concepts, Experience with ETL processes, Experience with data quality frameworks, Experience with data governance principles
Nice to Have
Master's degree preferred, Experience with cloud data platforms (AWS, Azure, GCP), Experience with data visualization tools (Tableau, Power BI), Experience with scripting languages (Python, R), Experience with data modeling techniques, Experience with data security best practices, Experience with data cataloging tools
What You'll Do.
Oversee daily data operations
Monitor data pipelines
Ensure data quality and integrity
Implement and maintain data governance policies
Develop and manage ETL processes
Troubleshoot data-related issues
Collaborate with data engineers and analysts
Document data processes and standards
Support data warehousing initiatives
Perform data analysis
Generate reports and dashboards
How You'll Work.
Team & Collaboration
Data engineers; Data analysts; Business stakeholders
Communication Scope
Technical documentation; Reporting
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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