Jobs at NielsenIQ

Provides customer support for NielsenIQ data and technology services by triaging and resolving requests, monitoring customer satisfaction metrics, collecting customer feedback, and improving service delivery. The role supports customer setup and maintenance, standardizes processes, coordinates with internal teams, ensures quality and efficiency, and adheres to performance KPIs. Strong communication, analytical, organizational, troubleshooting, and project management skills are required.

Lead end-to-end innovation research projects across global markets: design and manage studies, analyze data, generate actionable insights, produce client-ready reports and presentations, review team deliverables, coach junior staff, manage priorities, and identify opportunities for process improvement and AI adoption.

Support EEMEA and India client service teams by training and coaching analysts, ensuring quality and timely delivery of market-research tasks, managing stakeholder relationships, monitoring project progress, and developing team talent.

Lead analyst development and ensure delivery excellence for EEMEA and India client service teams. Train and coach analysts on NIQ/BASES tools, review deliverables for accuracy, manage stakeholder relationships, monitor project progress, and resolve risks. Drive performance management, documentation, and cross-functional collaboration to maintain high-quality, timely research outputs.

Lead training, coaching, and quality assurance for analysts supporting EEMEA and India client teams. Manage stakeholder relationships, monitor project delivery, ensure accuracy and compliance, identify and resolve risks, and develop team members through performance management and targeted learning initiatives.

Support inside sales processes to generate leads and drive revenue by developing sales campaigns, collaborating with marketing, creating visual sales materials, organizing client events, running digital campaigns (Sales Accelerator, ZoomInfo, LinkedIn), and translating analytics into Power BI reports and insights.

Analyze large e-commerce datasets, generate actionable insights, lead customer engagement, collaborate with global teams to improve data quality, support product development and sales with data-driven recommendations, and create presentations and marketing content.

Lead development and improvement of RES design and universe estimation using statistical methods, machine learning, and data integration. Research and prototype new methodologies, collaborate with technology and data teams, document global data science methods, support pilots and deployments, and mentor colleagues to apply advanced analytical techniques.