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 $75,000, 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
- Technical skills required: SQL, Python
- Technical skills preferred: PySpark, Databricks, Tableau
- Useful technical skills for the role: R, machine learning, forecasting, other data visualization tools
- Proficient in critical thinking, problem solving and adaptability
- Expertise in collaborating with stakeholders to support, develop, and enhance reporting and tools
- An effective data storyteller who explains complex problems, presents insights, and develops creative solutions for audiences with varying levels of technical knowledge across the organization
- Knowledge of revenue optimization, pricing science, economics, statistics and probability principles required
What You’ll Get:
- 40% off any standard Hertz Rental
- Paid Time Off
- Medical, Dental & Vision plan options
- Retirement programs, including 401(k) employer matching.
- Paid Parental Leave & Adoption Assistance
- Employee Assistance Program for employees & family
- Educational Reimbursement & Discounts
- Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
- Perks & Discounts –Theme Park Tickets, Gym Discounts & more
Skills Required
- Bachelor's degree or equivalent, preferably in statistics, data science, business analytics, machine learning, computer science, mathematics, or another analytical field
- At least 2 years of experience in data or business analytics, or 1 year of experience with a relevant master's degree
- SQL proficiency
- Python proficiency
- Critical thinking, problem-solving, and adaptability
- Experience collaborating with stakeholders to support, develop, and enhance reporting and tools
- Data storytelling and ability to communicate complex problems and insights to varied audiences
- Knowledge of revenue optimization, pricing science, economics, statistics, and probability principles
- PySpark experience
- Databricks experience
- Tableau experience
- Experience with R, machine learning, forecasting, or other data visualization tools
What We Do
Hertz. We're here to get you there. The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. Product and service initiatives such as Hertz Gold Plus Rewards®, Carfirmations, Mobile Wi-Fi and unique vehicles offered through the Adrenaline, Dream, Green and Prestige Collections set Hertz apart from the competition. Additionally, The Hertz Corporation owns the vehicle leasing and fleet management leader Donlen Corporation, operates the Firefly vehicle rental brand and Hertz 24/7 car sharing business in international markets and sells vehicles through Hertz Car Sales.
