Pricing Manager (m/f/d) at Redcare Pharmacy

Cologne, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Pricing Strategy, Revenue Management, Data Analytics, Excel, R, R Studio, KPI Analysis, E-commerce, Cross-functional Collaboration, Commercial Analysis

Industry

Retail Pharmacies

Description

Company Description About Redcare Pharmacy: As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. Job Description About the role: As a Pricing Manager, you will support the continuous optimization of our pricing strategies and contribute to improving revenue and margin performance across your assigned markets. You will work closely with experienced pricing colleagues and collaborate with Country Management and Category Management to ensure data-driven pricing decisions. This is a great opportunity for someone with a strong analytical mindset who wants to deepen their expertise in pricing within a dynamic e-commerce environment. You will gain exposure to large data environments, pricing tools and cross-functional collaboration while gradually building your commercial experience. Qualifications About your tasks: Continuously optimize and execute pricing strategies to drive profitability, supporting the overall pricing framework of your markets. Monitor and analyze KPIs such as revenue and total contribution, identifying patterns and proposing data-driven improvement ideas. Work with large data sets in Excel and R, preparing structured analyses and insights in close collaboration with our Data Science team to support pricing decisions. Collaborate closely with Country Management, Category Management, BI and Data Science, preparing insights and aligning on pricing measures. Support the further development of our pricing tools and AI-supported solutions, helping to improve processes and transparency. About you: You bring a minimum of 2 years of full-time professional experience in pricing, revenue management or data analytics (e-commerce is a plus, but not a must). You are confident working with Excel (advanced formulas, lookups, large datasets); experience with R / R Studio is a strong plus. You enjoy working with data and feel motivated by analyzing KPIs and improving performance step by step. You are comfortable communicating in English and appreciate regular onsite collaboration with your Cologne based team. Additional Information In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - including up to 20 days a year anywhere in the EU. Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. Vacation: 30 days paid vacation per annum (plus another day on Rosenmontag) and the option to take unpaid vacation of up to 10 days (after one year working with us). Remote Type: Commercial Operations

Responsibilities

The Pricing Manager will optimize pricing strategies to drive profitability and improve revenue and margin performance across assigned markets. This involves analyzing KPIs, working with large datasets, and collaborating with Country and Category Management to make data-driven decisions.