Data Integration Specialist - Revenue Optimization (python / git)
Introduction to team
Private Label Solutions leverages the best of Expedia Group’s partner-facing APIs and template products with a laser focus on B2B , powering hundreds of businesses around the world and tapping into a diverse range of travel market segments. As Expedia Group’s partner-focused arm, PLS’ mission is to provide its partners with solutions to fuel their growth.
Revenue Optimization is a key drive of value for PLS and our partners. This role will be responsible for managing the deployment of innovative pricing strategies to enhance revenue, improve market responsiveness, ensure compliance and meet partner needs. This role offers an opportunity to drive strategic pricing initiatives, enhance our competitive edge, and support the expansion of our B2B operations.
In this role, you will :
- Manage and execute configuration changes on different internal engines to optimize for PLS-specific needs across multiple product lines.
- Partner closely with global teams across Product, Tech, Machine Learning and Analytics to deploy and test new algorithms and pricing strategies in product. Identify inefficiencies in the deployment process and build new tools to scale our operation.
- Develop a strong understanding of company data logging and data architecture to effectively investigate incoming requests & assess the impact of potential changes involving EG Pricing Programs.
- Maintain existing documentation on an ongoing basis as well as perform a comprehensive review of workstreams to publish step-by-step guidelines on processes without documentation.
- Drive- cross-functional initiatives by defining requirements, developing test plans, and supporting UAT.
- Build dashboards and perform ad hoc analyses to monitor performance.
Experience and qualifications :
Minimum 2 years' experience in a related fieldExperience with SQL query languagePrevious experience with Python or another object-oriented languageDemonstration of solving complex business issues using data at scaleYou have experience managing priorities and stakeholders at multiple levels