Senior Manager, Product Analytics

Job Description

Data Scientist, Sr. Manager Are you passionate about improving customer experience through deep behavioral insights If you re motivated about making an immediate impact on re-imaging travel by gleaning insightful recommendations that drive improvements, we want to speak to you!We are seeking a strong analytic professional to join our Global Product Analytics Team, supporting various travel products on leading online travel brands. This will be a Sr. manager role leading a small team and partnering with Transport, App growth &Engagement and Trips e2e Product and Engineering Leadership team alongside working closely with other business performance teams and data team. This role will be working with these partners to setup metrics and frameworks to lead our diverse product portfolio, and by identifying and evaluating the highest value opportunities to contribute to our bottom line.This will involve a broad spectrum of analytics support including investigative analyses, business modeling, and working with product, tech and data engineers to build data pipelines and tracking across Expedia, Vrbo & Hotels.com. If you are a self-starter and have shown success in using analytics to drive the innovation and user engagement of a product, this position is for you.What you ll do:
• Own metrics framework development, build accurate and easy to consume dashboards/reports for key performance metrics,
• Collaborate with product team in goal setting, product performance review and strategy planning
• Working with data team to prioritize the data related projects, ensure the data product delivered on time with quality
• Utilizing anomaly detection techniques to quickly identify areas of performance concern and proposing analyses and/or corrective actions
• Work with the broader Analytics Platform team in an Agile model to build self-service data products that will allow the business to access accurate information directly
• Challenging customer problems, a business that loves to test & learn, and billions of data points
• Operating within a community of analysts, sharing findings and methodologies.
• Personal growth (skill expansion, job rotation, etc.)
• An environment that encourages innovation, collaboration, and thought leadership
• An interesting industry that impacts millions of travelers in the world
• Exposure to product management, presenting to the product leadership team
Who you are:
• 4 years of work experience doing quantitative analysis to tackle business problems
• A Bachelor s degree in at least one science, technology, engineering field
• Possessing strong analytical skills, including the ability to break down business scenarios into constituent parameters
• Experience with large data sets and proficient in SQL or other programming languages (R, Python)
• Experience communicating to senior leadership/management
• Excellent communicator to tell stories with data
• Experience applying visualization tools such as building Tableau reports
• Experience in Adobe Analytics or Google Analytics is a plus
• Curiosity and passion for making an impact along with strong attention to details
About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Groups 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 .2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50Expedia 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.,

Keyskills :
financesalesltdmisaccountancystrong analytical skillsonline traveladobe analyticsmedia solutionsgoogle analyticsanalytical skillsproduct portfolio