Sr. Revenue Data Analyst

The Senior Revenue Data Analyst leads projects that leverage advanced data science skills to develop scalable tools, analyses, and reporting that improve Revenue Management performance. As an expert in Python and SQL, the role uses PySpark, Databricks, Tableau, and other analytics tools to tackle complex problems involving large sets of structured and unstructured data, transforming them into actionable insights and reliable solutions that improve business decision-making.

Note: this role will be required to work from our Estero, FL office at least 4 days per week.

The starting salary for this role is $96,000, commensurate with experience.

What You’ll Do:

• Market management reporting: Analyze data and build reports in Tableau to provide visibility into key metrics and optimize revenue for the North America RAC division
• Leadership reporting: Perform KPI evaluation, statistical testing, root-cause analysis, and forecasting to answer key Revenue Management leadership questions and present data-driven solutions clearly and strategically
• Data maintenance and source ownership: Lead data-focused projects by designing, mapping, monitoring, maintaining, and troubleshooting Databricks data pipelines and sources that support reporting, ensuring data accuracy, reliability, and minimal downtime
• Automation: Transform manual processes into automated processes or applications that prioritize efficiency and accuracy, giving business users more time to spend on revenue-accretive functions. Examples include alerts, algorithmic bid processing, automated data archiving, application design for user input, and automated data entry using virtual machines or bots through tools such as Python, PySpark, Databricks Apps, and Power Automate
• Collaborate and communicate across teams: Work closely with internal and external teams to test, relay feedback, and ensure alignment with desired business outcomes
• Data storytelling: Summarize and clearly communicate projects to stakeholders by explaining the business problem, presenting findings, designing a solution, and sharing the measured revenue impact
• Continuous improvement: Build technical, functional, and professional expertise through ongoing development opportunities and emerging analytics practices. Identify and implement improvements that increase individual and team effectiveness. Mentor and develop data analysts by sharing best practices, providing guidance, and expanding the team’s overall capabilities and bench strength

What We’re Looking For:

• Bachelor’s degree or equivalent required; preferably in statistics, data science, business analytics, machine learning, computer science, mathematics or another analytical field
• Minimum of 2 years previous experience in data or business analytics or 1 year experience and a master’s degree in the relevant subject matter required