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DS Analytics III - Platform Analytics
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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.
DS Analytics III - Platform Analytics
At Expedia Group, Platform Analytics helps create more reliable, governed, and self-service analytics experiences by improving visibility into platform health, usage, and business impact across the analytics ecosystem.
As a high-performing individual contributor, you will apply and continue to enhance analytics capabilities, best practices, and processes to solve complex business issues and identify opportunities. You will operate with a high degree of independence, manage analytical workstreams or products, mentor more junior colleagues, and regularly partner with stakeholders up to Director level. You will turn complex platform and product data into insights that help teams make better decisions and influence platform priorities through data.
Why join us
- Work on problems that sit at the intersection of platform enablement and measurable business impact.
- Help shape self-service analytics experiences through areas such as governed access to trusted data, platform usage insights, and visibility into performance and operational health.
- Collaborate with cross-functional partners across analytics, engineering, product, and leadership to improve how analytics capabilities are used across Expedia Group.
What you’ll do
- Lead analytical workstreams or build analytical products that address complex business and platform questions.
- Extract and combine data from multiple sources independently to create robust datasets for analytics, measurement, and model development.
- Apply statistical and analytical techniques such as regression, ANOVA, A/B testing, causal impact, multivariate testing, clustering, logistic regression, and other appropriate methods to solve business problems.
- Select the right measurement or modeling approach for the question at hand, balancing speed, rigor, complexity, and stakeholder value.
- Translate ambiguous business questions into clear analytical tasks, iterate based on findings, and favor practical, incremental delivery.
- Partner early with stakeholders and subject matter experts to refine business questions, identify the right data, shape analytical design, and align on relevant outputs.
- Build scalable reporting, dashboards, and repeatable measurement solutions that improve self-service and empower stakeholders to access insights more independently.
- Create clear visualizations, executive summaries, presentations, and technical documentation that communicate insights effectively to audiences with different levels of technical understanding.
- Write efficient, shareable code and documentation that supports reproducibility and can be reused by the wider team.
- Coach junior teammates on analytical thinking, statistical techniques, data storytelling, and best practices while continuing to raise the bar for the team.
Experience and qualifications
Minimum qualifications
- You have a bachelor’s, master’s, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field; or equivalent related professional experience.
- You have 2+ years of relevant experience with a bachelor’s, master’s, or PhD degree, or 4+ years of experience in a comparable data analytics role.
- You have demonstrable experience delivering data-driven insights and recommendations that drove change or performance improvement through multiple projects using different analytics techniques.
- You have advanced experience using SQL and at least one analytical programming language such as Python or R for data analysis, structuring, transformation, and visualization of large and complex datasets.
- You have experience delivering analytics projects across different business areas and demonstrate strong business acumen.
- You have experience framing complex business problems as analytics problems and breaking them into clear, manageable analytical tasks.
- You have experience communicating analytical goals, methodology, caveats, and conclusions to both technical and non-technical audiences.
- You have experience writing advanced SQL, working across large datasets, and applying data quality, query optimization, and reproducibility best practices.
Preferred qualifications
- You have experience in platform analytics, product analytics, or analytics for internal tools and technical products.
- You have experience with supervised machine learning concepts and techniques and know how to partner effectively to validate and scale models for business value.
- You have experience with a range of statistical and measurement techniques, including experimentation, causal inference, regression, and multivariate approaches.
- You have experience automating repeated reporting tasks and building scalable dashboards that support multiple use cases.
- You have experience mentoring teammates and providing constructive feedback on analytical methods, visualization choices, and communication approaches.
- You have experience working with multiple SQL dialects, querying environments, or modern analytics platforms and can quickly evaluate and adopt new tools and datasets.
Functional and technical strengths
- Critical thinking and curiosity
- Problem solving
- Communication and influencing
- Information gathering and listening
- Statistics and measurement design
- SQL, Python, R, or similar analytical tools
- Data visualization and storytelling
- Business acumen
- Basic machine learning concepts and approaches
What success looks like
- You independently solve complex analytical problems and identify meaningful opportunities for the business and platform.
- You choose analytically valid approaches that are appropriate for the objective, timeline, and business context.
- You help partners make faster, better decisions through trustworthy metrics, thoughtful analysis, and actionable recommendations.
- You build trust through transparent collaboration, proactive communication, and iterative delivery.
- You contribute to a culture of analytical rigor, reproducibility, inclusive communication, and continuous learning.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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