Technical Operations Analyst II

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About Expedia Group

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Requirements

• You have strong SQL skills, including complex joins, common table expressions, window functions, aggregations, query optimization, and data validation.
• You have experience building or maintaining data pipelines, analytical datasets, or transformations used by downstream stakeholders.
• You have experience in product, business, or operational analytics and can turn analysis into clear recommendations.
• You have a strong understanding of analytical concepts such as metric design, cohort analysis, funnel analysis, segmentation, experimentation fundamentals, and root-cause analysis.
• You are comfortable working with incomplete information, asking the right questions, and creating clarity in ambiguous problem spaces.
• You communicate effectively and can explain analytical findings and limitations to non-technical audiences.
• You demonstrate ownership from problem definition through delivery, adoption, and ongoing improvement.
• You hold a bachelor’s degree in analytics, data science, statistics, computer science, business, economics, or a related field. Equivalent practical experience may be considered.
• Experience with Databricks or a comparable cloud data platform.
• Experience with Looker or another modern business intelligence and semantic-layer platform.
• Experience with workflow automation tools such as n8n, or a demonstrated interest in improving analytics and operations through automation.
• Familiarity with data modeling practices, dimensional modeling, dbt, version control, or software development lifecycle practices.
• Experience partnering with product managers, designers, engineers, or operations leaders in a product environment.
• Familiarity with the organization’s internal product suite, tools, or workflows.
• Experience improving analytics standards, mentoring analysts, or influencing cross-functional decisions without direct authority.
• You are deeply curious and enjoy getting to the root of a problem.
• You hold a high bar for data quality and are comfortable challenging assumptions respectfully.
• You balance technical rigor with pragmatism and know when a simple solution is the right solution.
• You communicate early, document decisions, and make your work reusable for others.
• You are comfortable operating independently while actively building alignment with partners.