This role is eligible for our five day flex office work model.

Senior Data Analyst, Pricing Optimization

Priceline.com is seeking a Senior Analyst for our Hotels business unit. This role will be responsible to execute and improve upon Priceline.com's strategy for Hotel pricing & competitive intelligence. Our mission is to deliver the best travel deals available to our customers. This role is critical for us to fulfill this mission.

Why is this job a big deal:

As a Senior Analyst you will influence and challenge Pricing decisions made within the Strategic Pricing and Analytics team by delivering insightful analysis, predictive models and innovative strategies. The ideal candidate for this role has prior Pricing experience in an e-commerce or marketplace environment, strong analytical skills with an excellent track record of execution.

In this role you will get to:

• Execute and improve upon Priceline.com's strategy for Hotel pricing & competitive intelligence

• Learn, upgrade and automate various pricing initiatives within Priceline.com, partnering with the Marketing, Finance and other analytical teams

• Develop innovative solutions and techniques to ensure Priceline.com's pricing remains competitive, profitable and innovative

• Influence and challenge decisions made by the team through timely & insightful analysis, modeling and experiments

• Identify appropriate reports to support decision making, recommend and build enhancements to our Pricing reporting infrastructure

Who you Are:

• Strong analytical, statistical and problem-solving skills are required

• Strong, hands on SQL experience, preferably with Oracle or BigQuery, but other relational databases are OK

• Experience building or enhancing reports using Tableau and/or excel

• Experience working with R/Python strongly preferred

• Experience with hypothesis testing and A/B testing

• A ‘can-do’ attitude and a passion for analytics/data.

• Strong communication skills, both written and oral

• Takes responsibility for results, “owning” assignments and projects

• Bachelor of Computer Science, Engineering, Statistics

• 4 years of experience in analytics, consulting or technology

• Experience in data science, pricing, travel & e-commerce experience desired

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