Expedia

Manager, Supply Process Automation Developer

London, UK
SQL Python R Machine Learning
Description

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 global hybrid work setup (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, Supply Process Automation Developer

Introduction to team 

Private Label Solutions (PLS) is the B2B arm of Expedia Group. We open up our supply and innovative technology to businesses looking to take on the world of travel. These businesses, sometimes referred to as our ‘demand partners’, include global financial institutions (e.g. AMEX), corporate managed travel, offline travel agents (e.g. Flight Centre), global travel suppliers (e.g. Delta) and many more.

As part of this role, you would be a high-performing individual contributor, consistently applying and enhancing analytics capabilities, best practices, and processes to solve complex business issues and identify new opportunities. You would operate largely independently, taking ownership of projects and tasks while demonstrating the ability to mentor more junior colleagues to help them grow and succeed.

Your role will involve regular interaction with stakeholders, including those at the Director level, to ensure alignment on goals and deliverables. You would manage analytical projects, such as leading a small workstream or building an analytical product, to deliver impactful results that contribute to the overall success of the team and organization.

In this role, you will: 

  • Use business acumen in combination with the knowledge to appropriately select the correct technique/design to answer business questions (eg. Pre/post, causal impact, multivariate, multi-armed bandit etc)

  • Understand and explain the trade-offs for selecting simpler vs more complex methods

  • Define and build data modelling (eg. linear and non-linear regression as well as using other modelling techniques such as clustering, logistic regression etc). Correctly interprets the output and iterates and improves the model.

  • Provide guidance and coaching to other team members on statistical techniques

  • Favour iterative delivery and work with stakeholders to refine requirements, agree on what is in scope for each project step, and evolve requirements based on learnings.

  • Understand and synthesize different data sources and create basic data pipelines and workflows to support the model. Considers legal implications and seeks out clarification and solutions if applicable.

  • Values reproducibility and creates shareable code and documentation to share with a wider team on tools like GitHub, IEX, and confluence.

  • Create clear visualizations that support the data story and deepen the audience's understanding.

  • Create relevant artifacts from the project such as technical documentation, presentations, and executive summaries, and share them in appropriate forums depending on the project and audience.

  • Perform data quality checks, and query cost/performance optimisation.

  • Write code in a shareable, efficient way that can be translated into a data pipeline or shared with peers.

  • Automate repeated measurement and reporting tasks and build scalable dashboards to cover multiple scenarios (geo, web and apps, etc.). Trains and empowers stakeholders to pull data from automated dashboards or via scheduled reports. Empowers data democracy by providing training to stakeholders on the basic use of analytics tools and solutions.

Experience and qualifications: 

  • PhD, Master or Bachelor (preference for Mathematics or Scientific degree) with 2-4 years of work experience OR 4+ years of experience in a comparable data analytics role with relevant experience.

  • Demonstrable experience in delivering data-driven insights and recommendations that drove change or performance improvement for stakeholders through multiple projects using different analytics techniques.

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

  • Critical thinking and showing an inquisitive mind Statistics knowledge.

  • SQL, Python, R or similar.

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

  • Basic machine learning concepts / approaches knowledge.

  • Intermediate-level ability to extract data from multiple data sources independently and combine into the required datasets for model building or analytics. (SJ - Not a basic but intermediate).

  • Ability to comprehend probability, frequentist vs Bayesian statistics, and how to apply to business problems (eg. AB testing, log regression output). Understands difference between statistically significant test readout vs exploratory analysis.

  • Ability to apply and comprehend statistical concepts like regression, ANOVA, AB testing etc and understand the difference between a statistically significant test readout vs exploratory analysis.

  • Possess an intermediate understanding of common data models, their underlying assumptions, the types of business questions they can best answer, and what data sources would best support the model (i.e. linear and logistic regression).

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.
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