Job Details
Customer Success Analyst
Revenue Analytics
Category
Customer Service
Experience
-
Employee type
Full-time
Offer Salary
-
Job Description
Revenue Analytics is a SaaS company that helps big companies make big revenue decisions in pricing, products and promotions. Our analytics solutions drive millions in revenue uplift and eliminate wasted time. This Customer Success Analyst role will be working our Manufacturing & Distribution Vertical on our Pricing-as-a-Service solution which crafts powerful pricing engines and uses business data to generate granular price guidance that adapts as markets and variables change.
Do you use data to solve complex problems? Looking for the opportunity to be customer-facing and help ensure the successful adoption of our products? In this Customer Strategy & Success Analyst role at Revenue Analytics, you’ll have the opportunity to perform in-depth analysis, participate in customer working sessions, and collaborate as a member of a cross-functional team to help ensure that we’re providing our customers with the best possible products to meet their needs!
A Day in the Life
Who you are
Outstanding Benefits & Perks
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with Hospitality, Media, Transportation, and Manufacturing and Distribution companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Revenue Analytics embraces diversity and is an equal-opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
excel
saas
Product Management
Analytics
Healthcare
Data Analysis
Technical Support
diversity
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