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Expedia Group

Runs travel booking sites for people and companies

Senior Analytics Partner - People Analytics

Data SciencePosted on Nov 9
Full-timeSeattle, WA, USA$173k - $277kIn-person

About the Job

Requirements

  • At least 6 years of experience in People Analytics and consulting or stakeholder-facing roles.
  • An advanced degree (MS or PhD) in Analytics/Data Science, Industrial/Organizational Psychology, or a related quantitative or behavioral field.
  • Fluency in R or Python, SQL, and Tableau.
  • Ability to work with large, unstructured data, extract data from multiple sources, and combine it into datasets for analytics and modeling.
  • Advanced understanding of common data models, their assumptions, the business questions they answer, and the data that best supports them.
  • Experience using advanced statistical methods, such as predictive modeling, to solve business challenges and selecting appropriately simple techniques; ONA is a plus.
  • Experience designing and executing employee listening programs and results.
  • Proficiency using AI to accelerate analytics, including framing problems, prompt engineering, and assessing the quality of AI-generated code.
  • Ability to produce a high volume of analytics work at pace with attention to detail.
  • Business acumen, problem framing, and critical thinking, with the ability to align People Analytics with business strategy and guide decision making.
  • Ability to produce clear, simple, executive-ready narratives independently and present to senior leadership.
  • Experience operating in complex, global, matrixed organizations as a high-influence individual contributor who leads through expertise, influence, and relationships rather than direct authority.
  • Success building trusted relationships with HR partners and business leaders at all levels.
  • Resilience, agility, and comfort with ambiguity in a fast-changing environment.

Responsibilities

  • Translate business and people priorities into analytics opportunities and strategies that drive measurable business impact.
  • Independently lead end-to-end analytics projects by clarifying business questions, scoping work into a statement of work, translating complex business problems into analytical approaches, iterating with stakeholders, and delivering executive-ready narratives and recommendations.
  • Turn complex data and analyses into clear visualizations and stories that inform technical and non-technical audiences.
  • Develop measurement strategies and define, build, and test metrics for organizational health assessment, talent reviews, QBR/MBRS, and program or product impact.
  • Document and automate recurring analytics tasks and deliverables to improve efficiency, quality, and speed.
  • Bridge HR and business customers with the product team to productize analytics into AI-native, simplified product experiences tied to business decisions.
  • Partner with HR Business Partners, Talent Partners, Centers of Excellence, and senior business leaders to influence strategies and decisions through data.
  • Identify and deliver strategic analytics, metric development, organizational health insights, and talent insights to drive organizational effectiveness and business impact.
  • Enable partners to self-serve using people insights products while addressing complex and ambiguous analytics needs directly.
  • Design and deliver learning labs, office hours, and coaching to develop partners' data literacy, product fluency, and AI-assisted analytics capabilities.
  • Support engagement surveys by interpreting and delivering division- or Center of Excellence-level survey insights and recommendations for action.
  • Manage intake and prioritization of analytics requests using clear principles and business and organizational knowledge to ensure timely delivery of high-impact work.
  • Coordinate feedback sessions for product design, user acceptance testing, pilots, and go-to-market strategy.
  • Provide peer feedback, reusable code and templates, thought leadership on analytical methods, and business context to Analytics Partners.
  • Partner with Machine Learning Science to validate and scale models for business value.
  • Monitor data quality and needs, partnering with Data Engineering on data sources, issue resolution, and table optimization.
  • Surface user needs and feedback to the Product team, shape the roadmap, influence feature prioritization, improve product user experience, and define business requirements for product development and enhancements.
  • Deliver knowledge exchange sessions for the People Analytics team to share best practices and project outcomes and advance team capabilities.
  • Model Expedia Group behaviors by anchoring analytics priorities in traveler and partner impact, identifying opportunities and systems-level approaches, raising execution standards through planning and automation, fostering organization-wide data-driven decision making, and collaborating candidly.

Desired Qualifications

  • Experience with Qualtrics.
  • Experience with Databricks.
  • ONA experience.

About the Company

Expedia Group

Runs travel booking sites for people and companies

Expedia Group runs online travel brands such as Expedia, Hotels.com, and Vrbo, where people book hotels, vacation homes, flights, and rental cars, and it supplies the same travel to other companies. Its Expedia site was one of the first online travel agencies, letting people compare and book flights and hotels on the web without calling a travel agent. Travelers search and pay through its apps and websites, while partners such as airlines and banks plug its hotel and flight listings into their own booking sites. Expedia earns commissions and markups on bookings and sells advertising to hotels and other travel companies. It began in 1996 as a division of Microsoft and is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1996

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