Senior Analytics Partner, Analytics
Listed on 2026-06-18
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, AI Engineer (Applied/Software)
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.
Senior Analytics Partner, People Analytics Introduction to TeamOur 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.
- Surf…
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