Senior Data Analyst, Pricing Optimization

Senior Data Analyst, Pricing Optimization




Career Track

Analytics & Data Science

Senior Data Analyst, Pricing Optimization

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

Senior Data Analyst, Pricing Optimization

We’re a data-driven organization, which makes our Analytics and Data Science teams the brains of our operation. On the cutting edge of customer and business analytics, they make sure all our decisions and innovations are based on the latest insights.

Why this job’s 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 ways. The ideal candidate for this role has prior Pricing experience in an ecommerce or marketplace environment, strong analytical skills with an excellent track record of execution

In this role you will get to:

  • Implement and improve upon's strategy for hotel pricing & competitive intelligence

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

  • Develop innovative solutions and techniques to ensure's pricing remains driven, 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 improvements 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 improving reports using Tableau and/or excel Experience working with R/Python strongly preferred

  • Experience with hypothesis testing and A/B testing

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

  • Strong communication skills, both written and oral

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

  • 4 years of experience in analytics, consulting or technology

  • Bachelor of business, computer science, engineering, statistics

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

#LI-SQ1 #LI-Hybrid