DS II, Pricing Product Analytics

Posted 7 Hours Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Junior
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Perform product- and marketplace-focused analyses using large, complex datasets. Write scalable SQL and use Python/R for ETL, validation, modeling, and experimentation. Scope ambiguous problems, evaluate data quality, build decision-oriented narratives, and partner with product and engineering to drive data-informed pricing and marketplace recommendations.
Summary Generated by Built In

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.

About the Team

The Pricing & Trust Analytics team within Expedia Group’s Yield & Analytics organization serves as the Product Analytics specialist team for our two-sided marketplace. We deliver data-driven insights that support a scalable, profitable, and high-quality marketplace for travelers, partners, and Expedia alike. Our work spans technically complex problem spaces, from deep-dive analysis and impact measurement to experimentation and machine-learning-informed product development.
Our team is looking for an experienced analytics professional to join the Pricing & Trust Product Analytics team, supporting the Pricing Product team and its strategic initiatives. This is a mid-level individual contributor role that partners closely with product managers and engineering teams to drive data-informed decisions and improve both traveler and partner experiences across our platforms.

In this role, you will:

  • Work across large and complex datasets to answer high-value product and marketplace questions.
  • Write efficient, scalable SQL and use analytical tooling such as Python or R to extract, transform, validate, and analyze data.
  • Independently scope and solve ambiguous problems, clarifying requirements, selecting analytically sound approaches, and driving work from question to recommendation.
  • Evaluate data quality, identify gaps or risks in source data, and improve the reliability and reusability of analyses and analytics workflows.
  • Build clear, decision-oriented narratives and artifacts that help technical and non-technical stakeholders understand the why, the so what, and the recommended next step.
  • Proactively build trusted relationships with stakeholders across Product and Engineering, and manage expectations across multiple projects and priorities.

Experience and Qualifications

  • Bachelor’s, Master’s or PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field; or equivalent related professional experience.
  • 2+ years of relevant experience in analytics, data science, product analytics, or a related quantitative role.
  • Strong SQL skills and experience working in complex data environments, including joining, cleaning, and validating large datasets from multiple sources.
  • Proficiency in Python, R, or a similar programming language for data analysis and problem solving.
  • Demonstrated ability to work independently through ambiguous questions, dig deeply into data issues, and translate business problems into effective analytical approaches.
  • Strong stakeholder communication skills, including the ability to explain methods, assumptions, tradeoffs, and recommendations clearly to both technical and non-technical audiences.
  • A proactive, self-starting approach, with strong ownership, curiosity, and judgment in complex problem spaces.
  • Experience using AI capabilities to streamline processes, reduce manual effort, and improve productivity across projects.

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.

Skills Required

  • Bachelor's, Master's, or PhD in a quantitative field or equivalent experience
  • 2+ years of relevant experience in analytics, data science, or product analytics
  • Strong SQL skills working with large, complex datasets (joining, cleaning, validating)
  • Proficiency in Python, R, or a similar programming language for data analysis
  • Ability to independently scope and solve ambiguous problems and translate business questions into analyses
  • Experience evaluating data quality, identifying gaps/risks, and improving analytics workflows
  • Strong stakeholder communication skills for technical and non-technical audiences
  • Proactive, self-starting approach with strong ownership, curiosity, and judgment
  • Experience using AI capabilities to streamline processes and improve productivity

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits Travel and wellness reimbursements, employee travel discounts, and flexible stipends are presented as standout perks that add meaningful lifestyle value. Mental-health resources and pet support broaden the package beyond core pay.
  • Parental & Family Support Paid parental leave for all parents with additional time for birthing parents, plus adoption, surrogacy, and caregiver support, are highlighted as generous and accessible. Immediate eligibility for parental leave reinforces the family-friendly design.
  • Healthcare Strength Medical, dental, and vision coverage is paired with inclusive healthcare extending to partners and covering fertility and transgender services. Access to mental-health platforms complements the core medical offering.

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group, Inc. is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds, locations, and disciplines. Day to day, that means sharing ideas, taking ownership, and solving problems together.

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Expedia Group Offices

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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