NielsenIQ: Senior Research Executive - Consumer Analytics — Mumbai, MH, India
NielsenIQ lists a Senior Research Executive - Consumer Analytics opening in Mumbai, MH, India. The position is listed as full-time. The job description covers Python, SQL, Excel, Power BI, Tableau, machine learning, marketing.
Recruitment overview
| Organisation | NielsenIQ |
|---|---|
| Post / role | Senior Research Executive - Consumer Analytics |
| Employment type | Full-time |
| Notification / job ID | R26_0023687|IN |
| Job location | Mumbai, MH, India |
| Work arrangement | On-site |
| Educational qualification | Degree / qualification: Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Marketing Analytics, or related quantitative discipline |
| Experience required | 3-4 years of experience in Consumer Insights, Analytics, Marketing Science, Research Analytics, or related fields |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
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 Senior Research Executive - Consumer Analytics in Mumbai, MH, India, under reference R26_0023687|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 Analytics
Responsibilities and work described
- Role Overview
- We are seeking a highly analytical and technically skilled Senior Executive to join our Consumer Analytics team
- The ideal candidate will have expertise in survey analytics, consumer research, data management, and advanced statistical modeling
- This role requires hands-on experience with coding, data engineering, machine learning, and transforming consumer data into actionable business insights
- The individual will work closely with research, consulting, and commercial teams to develop robust analytical solutions that support strategic decision-making for clients across categories
- Consumer Analytics & Insights
- Analysis: consumer, brand, shopper, and customer experience datasets to identify actionable insights and growth opportunities
- Design: and execute advanced analytics projects using survey and behavioral data
- Development: meaningful narratives and recommendations from complex datasets
- Support: benchmarking, segmentation, driver analysis, and performance measurement frameworks
- Advanced Analytics & Machine Learning
- Building: and deploy predictive models using survey and consumer data
- Apply machine learning techniques such as:
- Classification Models
- Regression Models
- Clustering & Segmentation
Essential requirements and candidate background
- Education
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Marketing Analytics, or related quantitative discipline
- Experience
- 3-4 years of experience in Consumer Insights, Analytics, Marketing Science, Research Analytics, or related fields
- Prior experience working with survey and consumer research data is essential
- Programming
- Hands-on expertise in:
- Python
- SQL
- Advanced Excel
- VBA (good to have)
- Visualization & Reporting
- Experience: one or more:
- Power BI
- Tableau
- Qlik
- Python Visualization Libraries
- Key Competencies
- Analytical and problem-solving capability
- Coding and data management skills
Preferred experience and additional strengths
- Experience within research agencies, consumer intelligence firms, consulting firms, or analytics organizations is preferred
- R (preferred)
Location, schedule and contract conditions
- Work arrangement: On-site
- Advertised location: Mumbai, MH, 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 Senior Research Executive - Consumer Analytics vacancy is not an offer for reference R26_0023687|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_0023687|IN.
Compare your qualifications and experience with the essential conditions for the Mumbai, MH, 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: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- SQL
- AI/ML
- Excel
- Power BI
- Tableau
- machine learning
- marketing
- stakeholder management
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
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