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Manager, Pricing & Revenue Management, EMEA

Job in 6300, Zug, Kanton Zug, Switzerland
Listing for: Restaurant Brands International
Full Time position
Listed on 2026-09-01
Job specializations:
  • Business
    Financial Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 200000 CHF Yearly CHF 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Manager, Pricing & Revenue Growth Management, EMEA

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories.

RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.

RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.

Our Opportunity

The Manager, Pricing & Revenue Growth Management, EMEA will play a key role in defining and executing RBI's pricing and Revenue Growth Management agenda across our EMEA markets.

This is a highly analytical and commercially oriented role, working directly with regional leadership, brand teams and franchisees to identify and capture opportunities across pricing, promotions, menu architecture and channel strategy.

The role will combine advanced analytics with strong commercial judgment to turn complex sales, consumer, competitor and profitability data into clear recommendations that drive sustainable sales and profitability growth.

The role will also contribute to the continued development of RBI's Pricing & RGM capabilities, including advanced pricing models, automated decision-support tools and the application of AI and advanced analytics to commercial decision-making.

RBI follows a 5 day, in-office work schedule to support collaboration. Candidates should be comfortable working onsite 5 days per week.

This is a full-time,12 months fixed-term job opportunity with a possibility of conversation to an indefinite employment.

Our

Roles & Responsibilities
  • Define and evolve RBI EMEA’s Pricing & Revenue Growth Management strategy, including pricing, menu architecture, value positioning and other key commercial levers across markets and brands.
  • Develop and continuously improve the analytical methodologies, models and tools used to support Pricing & RGM decisions, leveraging advanced analytics, consumer research, automation and AI to increase the quality and sophistication of recommendations.
  • Work closely with markets and franchisees to identify opportunities and implement Pricing & RGM initiatives end-to-end, from diagnosis and recommendation development through execution, testing and performance measurement.
  • Scale best practices and strengthen RGM capabilities across EMEA, creating common frameworks and tools and partnering with senior stakeholders across Marketing, Finance, Digital, Operations, BI and Technology.
Your Skills & Experience
  • 4-7years years of relevant professional experience, with hands‑on experience in Pricing and Revenue Growth Management.
  • Previous pricing experience within strategy/management consulting or a consumer‑facing industry, such as FMCG/CPG, QSR, retail, restaurants, e‑commerce or a related sector.
  • Strong understanding of pricing concepts and methodologies, including price elasticity, willingness to pay, competitive benchmarking, price & SKU architecture, promotional effectiveness and profitability modelling.
  • Excellent analytical and problem‑solving skills, with the ability to structure complex business questions and translate data into clear commercial recommendations.
  • Fully proficiency in Microsoft Excel, PowerPoint Power BI, Tableau or other data visualization tools.
  • Strong experience with SQL and Python and ability to work with large datasets and analytical models, AI and machine‑learning applications.
  • Experience with consumer research,…
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