Senior Analyst, Pricing Operations

Senior Analyst, Pricing Operations




Career Track

Analytics & Data Science

Senior Analyst, Pricing Operations

This role is eligible for our hybrid work model: Two days in-office.

Senior Analyst, Pricing Operations

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 an 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 e-commerce or marketplace environment, strong analytical skills with an excellent track-record of execution.


In this role you will get to:


  • The ideal candidate for this role has prior Pricing experience in the Travel industry and strong analytical skills with an excellent track record of execution.

  • Execute and improve upon's strategy for 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 competitive, profitable and innovative.

  • Influence and challenge decisions made by the team through timely & insightful analysis.

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

  • Partner with Analytics, Sales and Marketing Teams to optimize our pricing campaigns and streamline our operations

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 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

  • Bachelor of computer science, engineering, statistics with 4+years in analytics, consulting or technology

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

#LI-SQ1 #LI-Hybrid