Manager, Commercial Operations Analytics

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Manager, Commercial Operations Analytics

Introduction to team:

At Expedia Group, Data and Analytics are the core of all our strategy and decisions, responsible for the impactful insights that guide and optimize our global sales performance. Your role will consist of querying sophisticated SQL-based databases, running detailed analyses (e.g. building predictive models), crafting reports and visualizing insights in an intuitive manner. You will work closely with other highly skilled analysts across Expedia Group, supporting the TPM Account Management leaders with data driven insights.

The team is looking for a high-performing individual contributor who consistently applies - and sometimes enhances - the analytics capabilities, principles and playbooks to solve complex business issues and opportunities.

In this role you will:

• Extract and combine data from multiple sources for model building or analytics, applying machine learning theory and statistical concepts like regression, ANOVA, and AB testing.

• Collaborate with experts and stakeholders to clarify business questions, enhance feature selection, and select appropriate measurement techniques/designs.

• Define and build data models, interpret outputs, iterate to improve models, and provide guidance on statistical techniques to team members.

• Create data pipelines and workflows, considering legal implications, and develop clear visualizations using charting packages in scripting languages like R/Python.

• Apply inclusive design principles to visualizations, provide constructive feedback to upskill teammates, and build trust while working collaboratively with stakeholders.

• Articulate project goals, methodology, caveats, and conclusions to various audiences, presenting insights clearly and concisely, seeking feedback, and acting on it.

• Create and share relevant artifacts like technical documentation and executive summaries, understand and navigate organizational processes, objectives, and challenges.

• Work with big data, explaining challenges and solutions to technical and non-technical partners, write and understand advanced SQL, and possess knowledge of key data sources.

• Follow through on data issues to resolution, share knowledge with teammates, use best practices for data quality checks and query optimization, and write shareable, efficient code for data pipelines.

• Quickly adopt and evaluate new querying tools and datasets, frame complex business problems as analytics problems, break them down into manageable tasks, and work with stakeholders and peers to identify objectives and propose solutions.

• Use iterative thinking to identify next steps based on findings and pick analytically valid approaches that solve for the objective, not just the ask.

• Operate largely independently and mentor more junior colleagues.

Experience and qualifications:

• You hold a PhD, Masters, or Bachelors (preferably in Mathematics or a Scientific degree)

• 4+ years of work experience (with Masters), or 6+ years in a comparable data analytics role.

• Experience delivering data-driven insights and recommendations.

• Advanced experience using R, Python, or SQL for data analysis, structuring, transforming, and visualizing big data.

• Experience delivering analytics projects to different business areas with strong business acumen.

• Proficiency in statistics, SQL, Python, R, or similar tools.

• Data visualization skills for communicating results to stakeholders of different technical levels.

• Basic understanding of machine learning concepts and approaches.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.