Principal Data Operations Analyst
External
Nielseniq · Shanghai, ChinaFull-timeOn-site3mo ago
ComplianceCross-functional CollaborationDocumentationProcess Improvement
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Responsibilities
- Continuous Improvement & Process Excellence
- Lead CI initiatives to improve output quality, cycle time, and efficiency.
- Identify root causes and implement scalable, standardized solutions.
- Define KPIs and success metrics for CI initiatives.
- Output Quality & Delivery Governance
- Own output quality controls and validation frameworks.
- Ensure compliance with global standards and SOPs.
- Act as escalation point for complex delivery issues.
- Cross-functional Collaboration
- Partner with Client Ops, Product, Tech, and Data Science teams.
- Represent Data Ops Output perspective in Data Ops forums.
- Coaching & Capability Building
- Contribute to documentation and training materials.
- Strong Data Operations and output delivery experience.
- Proven CI / process improvement background.
- Advanced analytical and problem-solving skills.
- Experience working in global, matrixed environments.
Benefits
Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQFor more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionFlexible scheduleEquity / stock options
Additional Information
Role Purpose The Principal Data Operations Analyst - CI (Output) plays a critical role in driving end-to-end operational excellence for data output delivery. This role acts as a subject-matter expert and change agent, leading continuous improvement initiatives, strengthening output quality, timeliness, and scalability, and ensuring standardized, compliant, and client-ready data delivery across complex operational environments.
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Company Intel
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