NielsenIQ: Principal Data Operations Analyst (Market Research experience preferred) — Gurgaon, HR, 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 Principal Data Operations Analyst (Market Research experience preferred) in Gurgaon, HR, India, under reference R26_0020973|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: 22 October 2026
• Brands: NielsenIQ
• Job Family: Data Operations Multidiscipline

Responsibilities and work described

• As a Principal Analyst in the Market Insights (MI) business process, you will play a pivotal role in driving operational excellence and data integrity
• This senior-level position demands deep expertise in executing BAU production tasks—such as data coding,matching, and quality checks—while also leading team coordination, stakeholder engagement, and issue resolution
• Be responsible for undergoing the end-to-end production workflow, ensuring timely and accurate data delivery, and maintaining high standards of quality across the team
• With a process improvement mindset, you will identify inefficiencies, guide junior analysts, and implement solutions that enhance team performance and output reliability
• BAU Production (Expert-Level Execution)
• Execution: advanced data coding, data matching, and transformation tasks
• Run thorough quality checks to ensure data accuracy and consistency
• Audit the applied stakeholder-requested changes to datasets with precision
• Quality / delivery: timely and accurate delivery of data outputs as per SLAs
• Ownership of Production Workflow
• Maintenance: and audit team trackers to monitor task completion and quality
• Quality / delivery: all production activities are documented and compliant with process standards
• Issue Resolution s RCA
• Leadership: investigations into data or delivery issues and conduct Root Cause Analysis (RCA)
• Collaboration: with the team to implement corrective and preventive actions
• Team Coordination s Quality Management

Essential requirements and candidate background

• 4+ years of experience in data operations, analytics, or market insights
• Expertise in data coding, matching, and quality assurance
• Analytical and problem-solving skills
• Experience: team coordination, mentoring, and workload management
• Able to understand market trend and using AI Tools
• Client Communication with Presentation Skills
• Should be able to understand Market trend and impact of the reports
• Communication and stakeholder engagement abilities
• Proficiency: tools such as Excel, SQL, and data visualization platforms

Education and qualification routes

• Degree / qualification: Bachelor’s or master’s degree in business, Statistics, Data Science, or related field

Preferred experience and additional strengths

• Experience: market research or syndicated data processes
• Familiarity: agile workflows

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Gurgaon, HR, 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 Principal Data Operations Analyst (Market Research experience preferred) vacancy is not an offer for reference R26_0020973|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_0020973|IN.

Compare your qualifications and experience with the essential conditions for the Gurgaon, HR, 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: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• SQL
• AI/ML
• Excel
• process improvement
• audit
• stakeholder management
• root-cause analysis
• business processes
• AI
• quality assurance
• communication