Pricing Intelligence Analyst

What you will do on your journey with WebBeds.

As a Pricing Intelligence Analyst, you will be an integral part of the Global Pricing department, supporting our Commercial Planning team to drive impactful business decisions. In this highly analytical and technically skilled role, you will leverage data from multiple sources to generate valuable insights and inform global pricing strategies.

You will comfortably navigate large datasets, build clear and actionable reports, and program in SQL and Python to automate and enhance analytical processes. Working within a dynamic and collaborative environment, you will translate complex data into clear strategic paths that help WebBeds grow and evolve.

In this role you will:

Key responsibilities

• Data collection and analysis: Collect, clean, and analyze data from various internal and external sources to support pricing decisions.

• Reporting and dashboards: Develop and maintain dashboards and reports that provide clear, actionable insights for stakeholders.

• Trend and anomaly detection: Identify trends, patterns, and anomalies in pricing and performance data to support strategic initiatives.

• Cross-functional collaboration: Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.

• Pricing model support: Support the development and refinement of pricing models and forecasting tools.

• Process automation: Automate data processes and reporting workflows using SQL and/or Python.

• Insight presentation: Present findings and recommendations in a clear and compelling manner to both technical and non-technical audiences.

The skills we would love to see in your suitcase!

• Previous experience in a similar role such as pricing, revenue management, business intelligence, or data analytics.

• Experience working with large datasets and transforming data into business-relevant insights.

• Exposure to pricing or commercial strategy environments is a plus.

• Strong analytical mindset with attention to detail and problem-solving capabilities.

• Proficiency in SQL and/or Python for data manipulation, automation, and analysis.

• Ability to build and maintain dashboards and reports using visualization tools such as Power BI, Tableau, or Looker.

• Comfortable working with multiple data sources and managing data quality.

• Strong communication skills, with the ability to present complex findings in a clear and concise manner to both technical and non-technical audiences.

• Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment.

• Collaborative mindset and willingness to support cross-functional teams.

• Mandatory fluent English, both written and spoken. Strong command of Spanish is highly recommended.