Revenue Optimization Operations Analyst
APPLY HERE: Revenue Optimization Operations Analyst
End Date: 21st May, 2025
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
PLS Revenue Optimization Operations Analyst
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 Machine Learning Science and Analytics to deploy and test new algorithms and pricing strategies in production.
- Partner with Machine Learning Engineering teams to 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.
- Assist in both team & companywide projects and initiatives including defining requirements, developing test plans, and conducting UAT.
- Collaborate with multiple orgs, including Product, Technology, Analytics, Machine Learning Science/Engineering and Partner Integration Specialists in addition to the core team to develop project goals and to launch project and program initiatives.
- Develop the reporting and monitoring of pricing updates through dashboards like Tableau
- Complete ad hoc analysis tasks to help stakeholders monitor pricing changes
- Collaborating with teams in your location and across the globe
Experience and qualifications:
- Minimum 2 years' experience in a related field
- Experience with SQL query language
- Previous experience with Python or another object-oriented language
- Demonstration of solving complex business issues using data at scale
- You have experience managing priorities and stakeholders at multiple levels
- Experience with GitHub version control and CI/CD (GitHub Actions/Jenkins)
- Experience with terminal and a coding IDE of choice.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
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