Sr. Revenue Data Analyst

Hertz•West Bay Club, FL

6d•Onsite

About The Position

The Senior Revenue Data Analyst leads projects that use advanced data science skills to develop scalable tools, analyses, and reporting that improve Revenue Management performance. The role applies expertise in Python and SQL, along with tools such as PySpark, Databricks, and Tableau, to solve complex problems involving large structured and unstructured datasets and turn them into actionable insights and reliable solutions for business decision-making. The position is based in the Estero, Florida office at least four days per week. The starting salary is $96,000, commensurate with experience.

Requirements

Bachelor’s degree or equivalent required; a degree in statistics, data science, business analytics, machine learning, computer science, mathematics, or another analytical field is preferred.
At least 2 years of experience in data or business analytics, or 1 year of experience plus a relevant master’s degree.
Required technical skills: SQL and Python.
Proficiency in critical thinking, problem solving, and adaptability.
Ability to collaborate with stakeholders to support, develop, and enhance reporting and tools.
Ability to explain complex problems, present insights, and develop creative solutions for audiences with varying levels of technical knowledge.
Knowledge of revenue optimization, pricing science, economics, statistics, and probability principles.

Nice To Haves

Preferred technical skills: PySpark, Databricks, and Tableau.
Useful technical skills include R, machine learning, forecasting, and other data visualization tools.

Responsibilities

Analyze data and build Tableau reports that provide visibility into key metrics and help optimize revenue for the North America RAC division.
Evaluate KPIs, conduct statistical testing, root-cause analysis, and forecasting, and present data-driven solutions to Revenue Management leadership.
Lead data-focused projects by designing, mapping, monitoring, maintaining, and troubleshooting Databricks data pipelines and sources that support reporting and ensure accuracy, reliability, and minimal downtime.
Automate manual processes and develop applications that improve efficiency and accuracy, including alerts, algorithmic bid processing, automated data archiving, user-input applications, and automated data entry using virtual machines or bots.
Collaborate with internal and external teams to test solutions, relay feedback, and align work with desired business outcomes.
Communicate projects to stakeholders by explaining business problems, presenting findings, designing solutions, and sharing measured revenue impact.
Build technical, functional, and professional expertise through ongoing development 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 team capabilities.