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Обязанности понятны, а работа дает опыт в ценообразовании и аналитике с применением ИИ, плюс хорошие условия отпуска и развития. Зарплата не указана, поэтому уровень компенсации остается неизвестным.
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Зарплата не указанаПонятные задачиАналитика с ИИМного отпуска
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Текст:
Hirify AI/Оригинал
TL;DR
Pricing Manager (E-commerce): Managing and optimizing product and category pricing for a leading European e-commerce business with an accent on competitive positioning, revenue, contribution margin, and data-driven decision-making. Focus on analyzing large datasets, implementing and evaluating price changes, and developing analytical tools and AI-supported pricing solutions.
Location: Cologne, Germany; hybrid setup with an onsite team meeting in Cologne approximately once a month
Company
hirify.global is a European e-pharmacy and e-commerce business focused on accessible healthcare.
What you will do
Manage daily pricing activities for an assigned market or business area.
Analyze product- and category-level data and turn findings into pricing recommendations.
Implement approved price changes and evaluate their effects on competitiveness, customer behavior, revenue, and margin.
Work with large datasets in Excel and collaborate with Data and Data Science teams on reporting, analytical models, and AI-supported pricing solutions.
Improve pricing processes, data quality, decision-making tools, and pricing capabilities.
Requirements
Initial professional experience in pricing, revenue management, commercial analytics, category management, or another data-driven commercial role.
Understanding of how pricing affects demand, revenue, margin, and competitive positioning.
Interest in consumer and product-level pricing; experience in retail, e-commerce, FMCG, or another B2C environment is relevant.
Confident Excel skills, including pivot tables, data preparation, and lookup functions.
Ability to work with large datasets, communicate analytical reasoning clearly, and collaborate with commercial and technical stakeholders.
Fluent English and willingness to work in a hybrid setup with monthly onsite attendance in Cologne.
Nice to have
Experience with R, RStudio, SQL, Python, Power BI, Tableau, or comparable analytical tools.
Previous experience with prices, promotions, assortments, or commercial performance at SKU, product, or category level.
Culture & Benefits
Urban Sports Club membership package.
Individually arranged home-working setup where the role allows it.
Up to 20 days per year working from anywhere in the EU.
Anonymous and free mental-health support through nilo.
Internal and external professional development opportunities.
30 days of paid vacation per year, an additional day on Rosenmontag, and the option for up to 10 days of unpaid vacation after one year.
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