Technical Operations Analyst II

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. Technical Operations Analyst II We are seeking a highly analytical Data Analyst II / Senior Data Analyst to turn complex data into clear, actionable product and operational insights. This role is designed for a strong SQL practitioner who can independently investigate ambiguous business questions, build trusted data pipelines and reporting foundations, and partner with stakeholders to improve how decisions are made. The ideal candidate brings a product-analyst mindset. They connect user and business needs to measurable outcomes, define meaningful metrics, identify trends and root causes, and communicate recommendations clearly. The role will also contribute to internal tools and workflows built with n8n, Databricks, and Looker. Familiarity with the internal product suite is helpful but not required. This individual will operate with a high degree of ownership, influence partners through data, and raise the quality and scalability of analytics practices across the team. Success in this role means Stakeholders make faster, better decisions because insights are timely, trusted, and connected to business or product outcomes. Critical data pipelines and analytical datasets are reliable, documented, maintainable, and scalable. Metric definitions and reporting are consistent across teams, reducing confusion and duplicated effort. Product and operational questions are translated into actionable analyses, recommendations, and measurable follow-through. Analytics work increasingly supports self-service, automation, and repeatable decision-making. Cross-functional partners view the analyst as a thought partner with strong technical depth and product judgment. What You’ll Do: Own the end-to-end analytics lifecycle for priority questions and initiatives, including problem definition, data discovery, metric design, analysis, and recommendations. Design, build, and maintain reliable data pipelines, datasets, and analytical models that support recurring insights and self-service reporting. Write advanced and efficient SQL to transform, join, validate, and analyze large and complex datasets. Apply product analytics techniques to understand user behavior, adoption, engagement, retention, funnel performance, and operational outcomes. Translate ambiguous business and product questions into structured analyses, hypotheses, measurement plans, and clear decisions. Partner with product, engineering, operations, and other cross-functional teams to define success metrics and establish trusted sources of truth. Develop and improve Looker dashboards and reporting to ensure visualizations are useful, accurate, documented, and actionable. Investigate data quality issues, reconcile discrepancies, and establish validation practices that improve confidence in reporting and insights. Identify opportunities to automate repetitive analytics and operational workflows, including providing analytical input to tools built with n8n and Databricks. Present findings to technical and non-technical audiences, clearly communicating implications, limitations, trade-offs, and recommended actions. Mentor peers, share analytical best practices, and contribute to standards for data modeling, documentation, metric definitions, and reusable analysis.