Responsibilities

• Spot and prioritize high‑impact opportunities where data, experimentation, and visualization can clarify performance and guide marketing strategy.
• Design and evaluate marketing experiments and measurement frameworks (e.g., A/B tests, incrementality, pre/post, causal impact, casual inference, regression, multivariate analysis) to optimize spend, targeting, and creative across channels.
• Build models and analysis‑ready datasets using SQL and Python/R, working with large, multi‑source marketing and product data.
• Create clear engaging presentations and dashboards for technical and non-technical audiences.
• Automate recurring reporting and enable self‑serve analytics so partners can independently access trustworthy data and insights.

Requirements

• Bachelor’s degree in a quantitative field with 2–4 years of relevant experience, OR 5+ years in a comparable data analytics or data science role
• Strong proficiency with statistical analysis and data manipulation tools (such as SQL and a programming language like Python or R), and experience working with complex, high-volume datasets in a production analytics environment
• Proven ability to frame business problems as analytical tasks and deliver actionable insights
• Excellent communication and storytelling skills; you simplify complexity, highlight what matters, and influence decisions with clear visuals and narratives
• Demonstrated experience delivering data‑driven insights and recommendations that materially improved marketing or business performance

Preferred

• Graduate degree in a quantitative discipline (e.g., Statistics, Applied Mathematics, Computer Science, Econometrics, Operations Research) with a focus on advanced analytics, experimentation, or machine learning
• Performance/growth marketing understanding and hands‑on experience running and interpreting experiments (A/B tests, regression‑based analysis, incrementality, etc.)
• Demonstrated depth in designing and interpreting complex marketing experiments, uplift modeling, or causal inference approaches at scale, including for multi-channel or multi-touch attribution and budget optimization
• Proactive, self‑directed working style and a track record of learning and applying new analytical or modeling techniques
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to build scalable analytics pipelines and automate repeatable tasks

Benefits

• Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.