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Crea una Job Alert gratuita per cps (consumer panel) analytic consultant / monza

CPS (Consumer Panel) Analytic Consultant

Pubblicato il 10-10-2026 - Nielseniq in Monza

Overview
In this role you support client growth through CPS data analyses and clear insights. You act as a CPS subject matter expert, translating methodologies and metrics for clients, and present findings in a structured, compelling way. You collaborate with cross-functional teams to ensure high-quality delivery and client satisfaction. This position offers exposure to global clients and a chance to shape how insights drive loyalty and profit growth.
Retribuzione / Benefits
- Flexible working hours
- Hybrid work options
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)

Responsabilità
- Conduct analyses based on CPS data to answer client questions and present findings clearly
- Serve as CPS subject matter expert, explaining methodologies and key metrics to clients
- Present insights in a structured, easy-to-understand format
- Maintain high quality and collaborate within a team to deliver projects
- Partner with CS Consultants, Insights Associates,



and Sales to ensure effective project delivery and client satisfaction

Requisiti fondamentali
- Master's in Statistics, Economics, Marketing, or related field (required)
- 1-2 years in FMCG, consumer insights, market research, or client-facing analytics
- Strong analytical mindset and numerical aptitude for interpreting consumer and sales data
- Ability to synthesize data into concise, client-focused findings
- Ability to explain data sources and outputs clearly
- Willingness to develop communication and presentation skills for client-facing work
- Ability to work independently, prioritize tasks, and meet deadlines
- Proficiency in PowerPoint and Excel
- Italian (native or fluent) and English (professional working proficiency)
- Familiarity with Generative AI tools is a plus
- client-facing communication
- presentation skills
- independent working
- PowerPoint
- Excel
- data interpretation

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