
Pricing & Revenue Management Analyst
Travix
Pricing & Revenue Management Analyst
Travix is seeking a Pricing & Revenue Management Analyst to own the analytical backbone of its direct-to-consumer travel offering. The role involves turning pricing, demand, and margin data into recommendations to improve price competitiveness and revenue decisions, partnering with E-Commerce, Finance, Marketing, and Supply. Requires 3-5 years of experience in data, business, e-commerce, pricing, or revenue management, with strong analytical skills and familiarity with BI tools, SQL, Python, or R.
Pricing & Revenue Management Analyst
Travix is seeking a Pricing & Revenue Management Analyst to own the analytical backbone of its direct-to-consumer travel offering. The role involves turning pricing, demand, and margin data into recommendations to improve price competitiveness and revenue decisions, partnering with E-Commerce, Finance, Marketing, and Supply. Requires 3-5 years of experience in data, business, e-commerce, pricing, or revenue management, with strong analytical skills and familiarity with BI tools, SQL, Python, or R.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Deliver clear, data-driven insights across markets, channels, pricing, conversion, demand, supply, and key commercial performance drivers.
- Drive margin optimization and commercial growth by analyzing demand- and supply-driven segmentation, portfolio performance, pricing opportunities, customer behavior, and market gaps using analytical models.
- Conduct portfolio segmentation, gap analysis, price elasticity analysis, and forecasting to identify growth opportunities, pricing inefficiencies, and revenue improvement levers.
- Build and optimize dashboards, forecasting models, and analytical frameworks, leveraging AI, automation, and advanced analytics to monitor key business KPIs, improve efficiency, uncover deeper insights, and support smarter pricing, commercial, and revenue-related decision-making.