Senior Research Executive - Consumer Analytics

NielsenIQ; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ is seeking a highly analytical Senior Executive to join our Consumer Analytics team in Mumbai. The role focuses on survey analytics, consumer research, data management, and advanced modeling to deliver business insights for clients across categories.

Responsibilities include designing analytics projects, building predictive models, automating reporting, and communicating findings to stakeholders. A strong background in Python, SQL, and BI tools is required, with 3–4 years in related

Qualifications

• Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Marketing Analytics, or related quantitative discipline.
• 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.

Responsibilities

• Analyze 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.
• Develop meaningful narratives and recommendations from complex datasets.
• Support benchmarking, segmentation, driver analysis, and performance measurement frameworks.
• Build and deploy predictive models using survey and consumer data.
• Apply machine learning techniques and evaluate model performance.
• Develop data pipelines, validation processes, and automated reporting solutions.
• Ensure data quality, consistency, and governance standards are maintained.
• Develop scalable analytical solutions using Python and other programming languages.
• Automate repetitive analytical workflows and reporting processes.
• Present findings and recommendations to internal and external stakeholders in a clear and compelling manner.

Skills

Survey analytics

Consumer research

Data management

Statistical modeling

Python

SQL

R

Excel

Power BI

Tableau

Qlik

Machine learning

Stakeholder management

Data storytelling

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Marketing Analytics, or related quantitative discipline

Tools

Power BI

Tableau

Qlik

Advanced Excel

Job description

• Full-time

Job Description

Role Overview

We are seeking a highly analytical and technically skilled Senior Executive to join our Consumer Analytics team. The ideal candidate will have strong 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.

Key Responsibilities

Consumer Analytics & Insights

• Analyze 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.
• Develop meaningful narratives and recommendations from complex datasets.
• Support benchmarking, segmentation, driver analysis, and performance measurement frameworks.

Advanced Analytics & Machine Learning

• Build and deploy predictive models using survey and consumer data.
• Apply machine learning techniques such as:
• Evaluate model performance and communicate findings to business stakeholders.
• Manage large‑scale structured and unstructured datasets.
• Develop efficient data pipelines, validation processes, and automated reporting solutions.
• Ensure data quality, consistency, and governance standards are maintained.
• Integrate multiple data sources including survey, CRM, RMS, transactional, and digital datasets.

Programming & Automation

• Develop scalable analytical solutions using Python and other programming languages.
• Automate repetitive analytical workflows and reporting processes.
• Build reusable code libraries and analytical frameworks for the wider team.

Stakeholder Collaboration

• Work closely with client servicing, consulting, and research teams to understand business objectives.
• Translate business problems into analytical solutions.
• Present findings and recommendations to internal and external stakeholders in a clear and compelling manner.

Required Qualifications

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.
• Experience within research agencies, consumer intelligence firms, consulting firms, or analytics organizations is preferred.

Technical Skills

Programming

• Python
• SQL
• R (preferred)
• Advanced Excel
• VBA (good to have)

Experience with one or more:

• Power BI
• Tableau
• Qlik
• Strong analytical and problem‑solving capability
• Excellent coding and data management skills
• Ability to work with large and complex datasets
• Strong business acumen and storytelling skills
• Curiosity to explore innovative analytical approaches
• Effective communication and stakeholder management
• High attention to detail and quality orientation

Success Profile

The ideal candidate is someone who can seamlessly combine consumer understanding, statistical rigor, machine learning expertise, and strong coding capabilities to deliver impactful analytics solutions. They should be comfortable moving between data engineering, advanced modeling, and business storytelling to support client and organizational growth.

Additional Information

• Flexible working environment
• Volunteer time off

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/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state‑of‑the‑art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact.To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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