Pricing Advisor
- The Pricing Advisor is the client's first point of contact to solve their pricing needs. You will establish a trusted advisor relationship with clients in your dedicated region and be their strategic thought-partner by proactively identifying tailored pricing opportunities to improve margins. The Pricing Advisor will use a custom-built pricing optimization solution and overlays his/her deep knowledge about the local market to make appropriate recommendations. The Pricing Advisor will be supported by a team of Pricing Analysts, who will create customized reports and analytics to answer the client's questions.
- Understand the client's strategy and goals, dissect previous store performance, synthesize past and future local market events to adjust pricing recommendations for the client
- Proactively look out for market trends and activities that may impact pricing and provide timely advice to clients
- Translate client inquiries into analytics requirements
- Periodically visit clients and regional meetings to provide additional pricing support
- Present pricing trends during regional client meetings (2-3x per year)
- 5+ years in client services, pricing, revenue management and/or pricing advisory
- Able to demonstrate ability to be a strategic thinker who is proactive in providing valuable insights
- Strong leadership skills and experience working with executive level clients
- Excellent written communication and interpersonal skills
- Strong analytical capabilities with experience in working with SQL and Tableau
- Experience working with analytical teams and translating outputs into actionable insights for clients
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
- Experience working in SQL, Alteryx or other data management and Business Intelligence tools
- Experience with predictive modeling in SAS, Python, R or other
- Must have a MBA or master's in Finance, Economics, Math
- Strong understanding of the restaurant industry (QSR), competitors, and market dynamics
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