NielsenIQ: Expert - EU RD — Chennai, TN, India

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists Expert - EU RD in Chennai, TN, India, under reference R26_0024733|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 15 October 2026
• Brands: NielsenIQ
• Job Family: Data Coding

Responsibilities and work described

• Job Description
• The Reference Data Operations Expert is responsible for ensuring high-quality, timely and accurate Reference Data delivery across EU markets
• The role combines operational execution, quality governance, stakeholder collaboration, process improvement and technical expertise to support end-to-end delivery—from input through to client delivery
• The role brings an AI-first, continuous-improvement mindset, identifying where AI, automation, analytics and intelligent controls can reduce manual effort, strengthen preventive quality checks and improve operational outcomes
• Execute and support high-quality Reference Data operations across EU markets, ensuring delivery meets agreed quality, timeliness and customer expectations
• Partner with operational teams to resolve process and technical challenges, ensuring new tools, system enhancements and AI-enabled solutions are understood and effectively adopted
• Identify repetitive, manual or high-risk activities and recommend AI, automation and process-improvement opportunities to enhance efficiency, scalability and quality
• Support: the testing, implementation and continuous refinement of AI-enabled validation, workflow and decision-support solutions in partnership with Technology, Transformation and operational teams
• Leadership: error-management and Root Cause Analysis activities, providing clear issue analysis, corrective and preventive actions, and timely stakeholder communication
• Strengthen preventive quality controls through data analysis, trend identification, AI-supported validations and targeted review mechanisms
• Maintenance: effective communication with Client Ops teams and cross-functional stakeholders; provide accurate project updates and manage operational queries efficiently
• Define, monitor and document process execution, including standard operating procedures, governance controls, exception tracking and process documentation
• Quality / delivery: the accuracy and consistency of Reference Data coding is of high standards; investigate data-related concerns raised by clients and internal teams and support timely resolution
• Execute Reference Data operations and project activities with a clear understanding of the production lifecycle—from retailer/manufacturer input, coding and validation through to final client delivery
• Delivery: assigned work accurately within agreed timelines, coordinating with local, regional and offshore teams to resolve data inquiries and operational challenges
• Support: standardization and continuous improvement across methods, applications, reporting and operational workflows

Essential requirements and candidate background

• 5–8 years of experience in Operations, Quality Management, Data Operations and/or client-facing roles
• Experience identifying and implementing process improvements, automation opportunities or technology-enabled operational enhancements
• Interest in applying AI, analytics and automation to improve operational performance, quality controls and customer outcomes
• Critically review AI-generated recommendations, validate outputs against business rules and ensure appropriate human governance
• Fluent written and spoken English
• Analytical and problem-solving skills, with the ability to interpret data, identify trends and translate insights into practical actions
• Understanding: KPIs, operational monitoring, quality-performance management and root-cause analysis
• Explain technical concepts, process changes and AI-enabled solutions to stakeholders with varied levels of expertise
• Process-oriented mindset with experience defining, refining and improving processes to strengthen quality, efficiency and on-time delivery
• Organizational, presentation and stakeholder-management skills
• Knowledge: process-improvement methodologies and project-management practices
• Scope project requirements, manage stakeholder expectations and deliver against agreed objectives

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Chennai, TN, India

Benefits mentioned by the employer

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows
• These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria
• All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion
• Final hiring decisions are made exclusively by humans
• NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations
• If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative
• For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Expert - EU RD vacancy is not an offer for reference R26_0024733|IN; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0024733|IN.

Compare your qualifications and experience with the essential conditions for the Chennai, TN, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: data analysis

An analysis example should start with the question and the available data. Explain cleaning, assumptions, checks and the conclusion, including any limits that affected what could reasonably be inferred.

Relevant skills

• AI/ML
• data analysis
• AI
• quality control
• process improvement
• training
• stakeholder management
• communication
• partnership development
• root-cause analysis