You will work in project teams on exciting client engagements with a focus on pricing and monetization strategies, e.g., pricing strategies for new ventures, implementation of value creation plans, building pricing organizations, and conducting pricing opportunity checks for digital business models.
You will independently manage your own work packages within projects and be responsible for directing analyses as well as preparing and running client meetings and delivering outstanding client presentations.
You will use modern data analysis tools and AI-supported models (e.g., Python) to enable well-founded decision-making.
You will act as an expert and sparring partner for our clients and colleagues on pricing and monetization topics and assess how digital tools and AI-supported analytical methods can support decision processes.
You will think and act entrepreneurially, identify pricing and implementation opportunities at the client, and use data-driven methods and software solutions for analysis and optimization.
You will translate transactional or market research data into concrete recommendations for action, leveraging modern BI tools, automation solutions, and AI-supported analyses where appropriate.
You will help us convert analyses and learnings into standardized pricing frameworks and tools to develop scalable and efficient solutions.
As a team player, you will help shape our ambition to redefine management consulting through the targeted use of data-driven methods and modern technologies in pricing advisory.
Requirements
You have completed a degree in Economics, Finance, Management, or a comparable field.
You have already gained some practical experience in consulting and/or in pricing
and sales-related topics.
You are eager to support a high-performing team and help our clients overcome growth challenges.
You interact with clients in an empathetic and solution-oriented manner.
You have a strong interest in quantitative, analytical work and have experience using AI-supported pricing and analytics tools (e.g., Python for ML models).
You have knowledge of automated market monitoring using AI-supported tools for competitive analysis.
You are proficient in German as well as English.
You have practical experience with AI-supported automation of pricing processes (e.g., intelligent price recommendation systems, CPQ tools, etc.), predictive analytics, machine learning, or AI-driven pricing.
You demonstrate team spirit, inspire others with your ideas, and easily build trusted relationships with your team and internal and external stakeholders.
Tech Stack
Python
Benefits
28 days of annual leave, plus Christmas Eve and New Year’s Eve off
State-of-the-art hardware setup
Mobility benefits, e.g., subsidy for the Deutschlandticket and JobRad
Corporate benefits platform via Axel Springer with exclusive offers and discounts
Discounts on fitness offerings within the Axel Springer group, plus an internal subsidy for an Urban Sports Club M membership
FreeFood initiative – subsidy for lunch/snacks and drinks in the Axel Springer canteens and on the rooftop
Annual professional development budget of €1,000 for what helps you grow – professionally and personally
Multi-day company retreat once a year
Concierge services (at Axel Springer) – laundry, flower services, shoe repair, tailoring alterations, etc.