Senior Analytics Partner, Analytics
Listed on 2026-07-25
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis, Business Intelligence, Data Science Manager
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
SeniorAnalytics Partner, People Analytics Introduction to Team
Our Corporate Functions are made up of teams that support Expedia Group, including Employee Communications, Finance, Legal, People Team, Inclusion and Diversity, and Global Social Impact and Sustainability.
As part of Expedia Group’s People Analytics team and sitting within our Analytics Partnership function, the Senior Analytics Partner is a senior expert and consultant who shapes and delivers the analytics agenda for our divisions and COEs. You operate comfortably at both the strategic and tactical levels, pairing big‑picture thinking with a hands‑on approach to analysis and execution. You put the traveler first by ensuring we leverage analytics to enable data‑driven strategies and decision making that realize business impact.
Inthis role, you will:
Analytics Delivery
- Translate business and people priorities into analytics opportunities and strategies that drive measurable business impact.
- Independently lead end‑to‑end analytics projects: clarify the business question, scope work into a clear SOW, translate complex business problems into the right analytical approach, iterate with stakeholders, and deliver executive‑ready narratives and recommendations.
- Turn complex data and analyses into simple, compelling visualizations and stories that inform decisions for both technical and non‑technical audience.
- Develop measurement strategies and define, build, and test new metrics that inform org health assessment, talent reviews, Q /MBRS, and program/product impact.
- Document and automate recurring analytics tasks and deliverables to improve efficiency, quality, and speed.
- Serve as the bridge between customers (HR, business) and product team to help productize analytics into AI‑native, simplified product experiences that are tied to real business decisions.
- Partner closely with HR Business Partners, Talent Partners, COEs, and senior business leaders see around corners and influence strategies and decisions through data.
- Partner on identifying and delivering strategic analytics, metric development, and org health and talent insights to drive org effectiveness and business impact.
- Empower partners to self‑serve using our people insights products, while personally taking on the more complex and ambiguous analytics needs.
- Design and deliver engaging, consumable learning labs, office hours, and coaching to upskill partners on data literacy, product fluency, and AI‑assisted analytics.
- Support engagement surveys with division‑or COE‑level survey insights interpretation, delivery, and recommendations for actioning.
- Manage intake and prioritization of analytics requests, using clear principles and deep business/org knowledge to ensure on‑time delivery of high‑impact work.
- Coordinate feedback sessions for product design, UAT, pilots, and GTM strategy.
- Raise the bar with your Analytics Partners through peer feedback, reusable code and templates, thought leadership on new analytical methods, and business context to achieve a holistic view in driving business impact.
- Partner with Machine Learning Science to validate and scale models for optimal business value.
- Monitor data quality and needs, partnering with Data Engineering on new data sources, issue resolution, and table optimization.
- Surface user needs and feedback to Product team to shape the roadmap, influence feature…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).