Senior Research Executive - Consumer Analytics

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: Classification Models Regression Models Clustering & Segmentation Conjoint & Choice Modelling Evaluate model performance and communicate findings to business stakeholders. Data Management & Engineering 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 Strong hands-on expertise in: Python SQL R (preferred) Advanced Excel VBA (good to have) Visualization & Reporting Experience with one or more: Power BI Tableau Qlik Python Visualization Libraries Key Competencies 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.

Our Benefits 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 scheduli