Search the 6 jobs at Revenue Analytics

Define the vision and roadmap for vertical product(s), lead cross-functional teams, ensure product meets customer needs and evolves with market demands, accountable for team performance and decisions.

The Customer Success Manager owns key work streams, manages project scope, drives customer ownership, builds customer relationships, and leads cross-functional teams. They are a trusted advisor who strives to understand customer needs and challenges. Responsible for managing day-to-day product and solution support, ensuring successful customer adoption, building customer relationships, executing product implementations, mentorship, supporting business growth, contributing ideas to enhance marketing efforts, and identifying opportunities for expansion with existing customers. Requires strong academic credentials, 4-6 years of customer-facing experience in technology, product management, or consulting, collaboration with senior customer executives, presentation skills, proactive management of multiple tasks, intellectual curiosity, exceptional leadership skills, and fluency in English, Spanish, and French.

Perform in-depth data analysis, collaborate with cross-functional teams, troubleshoot customer issues, provide technical support, and contribute to improving customer satisfaction and retention.

Hands-on software development, ownership of technical project plan, collaboration with cross-functional teams, mentorship, technical leadership, best practices collaboration

Develop and deliver analysis-ready data sets, collaborate with data science and engineering teams, identify data sources, and provide optimal analytical solutions. Must have strong skills in SQL, Python, ETL, Linux/Unix, and REST APIs.

Senior Scientist position responsible for executing the product analytics vision, translating business issues, applying mathematical techniques for data analysis, and presenting insights to customers. Requires a Master's degree in Operations Research or related field, 3 years of experience in revenue management research, and proficiency in R, Python, and SQL.