Senior Analytics Partner, People Analytics

Expedia Expedia · Hospitality · Seattle, WA

This role is for a Senior Analytics Partner in People Analytics at Expedia Group. The primary focus is on translating business needs into analytics strategies, leading end-to-end analytics projects, and creating data-driven insights for HR and business leaders. The role involves partnering with Machine Learning Science to validate models and collaborating with product teams to shape AI-native product experiences. While the role uses AI tools and partners with ML teams, its core craft is not building AI models but rather leveraging analytics and AI for business decision-making and product enhancement.

What you'd actually do

  1. Translate business and people priorities into analytics opportunities and strategies that drive measurable business impact.
  2. 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.
  3. Turn complex data and analyses into simple, compelling visualizations and stories that inform decisions for both technical and non‑technical audience
  4. Develop measurement strategies and define, build, and test new metrics that inform org health assessment, talent reviews, QBR/MBRS, and program/product impact.
  5. Document and automate recurring analytics tasks and deliverables to improve efficiency, quality, and speed.

Skills

Required

  • 6+ years of experience in People Analytics and consulting/stakeholder-facing roles
  • Advanced degree (MS or PhD) in Analytics/Data Science, Industrial/Organizational Psychology, or related quantitative/behavioral field.
  • 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, QBR/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 prioritization, and continuously improve the UX of our products; define business requirements for product development and enhancements.
  • Deliver knowledge exchange sessions for the entire People Analytics team to share best practices, project outcomes, and advance team awareness and capabilities.

Nice to have

  • Fluent in

What the JD emphasized

  • AI-native
  • AI-assisted analytics