Description:
The Retailer Services department is at the core of NielsenIQ’s most important challenges. Our employees maintain daily relationships with FMCG and Nonfood retailers across Germany, Switzerland and Austria. Every collaboration with our retail partners is an opportunity to enrich our data and further strengthen NielsenIQ’s analytical capabilities.
For our team in Germany (Frankfurt or Nuremberg), we are looking for a Senior Analytic Consultant Retail – Pricing & Loyalty who supports our DACH retail clients equally in analytical retail consulting and in strategic pricing topics.
In this role, you combine classic retail and panel expertise with modern, data driven price optimization and loyalty card data analytics and act as a strategic consulting partner for our clients.
YOUR RESPONSIBILITIES:
Retailer Consulting & Analytics (approx. 50%)
- Build and maintain strong, long‑term partnerships with assigned retail clients in line with contractual agreements
- Develop a deep understanding of clients’ businesses and priorities and translate retail panel, consumer, and shopper data into actionable insights
- Deliver high‑quality analyses and recommendations through compelling presentations and workshops, both virtually and on‑site
Pricing & Price Strategy (approx. 50%)
- Provide functional support to retail clients in the use of pricing and price optimization software, including coordination with relevant internal and external stakeholders
- Work with AI‑ and Machine‑Learning–based pricing and optimization models to derive actionable insights
- Advise clients on pricing strategies and KPIs (price, revenue, margin) and support implementation and go‑live phases to ensure successful adoption
Cross‑functional Responsibilities
- Take ownership of the operational day‑to‑day business as well as ongoing and new client projects
- Plan and prioritize activities, identify new project opportunities, and support growth initiatives in collaboration with the Retailer Sales Team
- Work closely with internal teams to align customer activities and continuously deepen knowledge of NielsenIQ tools and solutions
A Little Bit About You:
- Several years of professional experience (ideally 5–8 years) in Retail, Pricing, Category Management, Consulting, or Analytics
- Experience working with retail KPIs, pricing logics, and analytical decision‑making models
- Hands‑on experience to AI / Machine Learning concepts, ideally in pricing, forecasting, or optimization use cases, with the ability to explain ML‑driven results to business stakeholders
- Strong numerical and analytical skills with the ability to translate complex analyses into clear, actionable business insights and recommendations
- Very good understanding of client needs and a high quality standard for consulting and deliverables
- Prior experience with NielsenIQ (or comparable) retail panel solutions as well as pricing or optimization tools is a plus
- Very good knowledge of Microsoft Excel, PowerPoint, and Outlook
- Fluent German and very good English skills, both written and spoken
- Strong communication skills, quick adaptability to new tools and concepts, and confidence working with diverse stakeholder groups
- Structured, self‑driven working style with strong persuasion, project management, and self‑organization skills
- Willingness to travel, especially for on‑site client support after go‑live phases
- Strong team spirit and enthusiasm for cross‑functional collaboration