Sr. Revenue Data Analyst (Systems Testing & Implementation)

The Senior Revenue Data Analyst (System Testing & Implementation) plays a vital role in validating and enhancing Hertz’s next-generation revenue management system – an innovation that will revolutionize our pricing capabilities. In this role, they leverage data to test functionality, ensure accuracy, and identify opportunities for improvement. They partner with IT, Product, Analytics, Business, and Vendor teams to confirm that every system component meets business requirements and operates without defects.

Key responsibilities include performing user acceptance testing (UAT) of interfaces, validating data integrity, and managing issues from identification to resolution. The analyst also works closely with developers to ensure the system performs seamlessly and delivers measurable improvements in revenue growth and operational efficiency.

Success in this role requires both technical depth and business acumen. The analyst will build a strong understanding of revenue management fundamentals, allowing them to grasp the science behind the system. They must be able to shift easily from high-level conversations about functionality to detailed technical discussions that support development.

This role demands a proactive mindset. The analyst should feel comfortable raising concerns in real time, anticipating challenges, and recommending solutions before problems escalate. Strong analytical skills are also essential. The analyst must be able to query complex datasets and present insights through clear, compelling visualizations that drive decision-making.

Based in Estero, Florida at the Hertz Global Headquarters, the Senior Analyst will report to the Manager of Revenue Management on the Systems Strategy and Analytics team.

The starting salary for this role is expected to be around $80k.

What You’ll Do:

• Validate System Functionality: Validate pre-defined test cases and user stories to ensure that all functional and business requirements are met.
• Perform Data Analysis & Quality Checks: Apply advanced SQL and analytical techniques to verify data integrity, identify anomalies, and troubleshoot issues across large datasets.
• Collaborate & Communicate Across Teams: Works closely with internal and external teams to share test results, relay feedback, and ensure alignment with desired business outcomes.
• Own Issues & Resolutions: Thoroughly log defects, inconsistencies, and potential risks. Perform root cause analyses and collaborate with related teams to find efficient resolutions. Own the lifecycle from identification to resolution, never losing sight of the end goal. 
• Champion Thought Leadership: Promote and participate in the exchange of learning across the organization. Offer insights and critical feedback when needed, never afraid to challenge the status quo.
• Continuous Improvement: Pursue technical, functional, and professional development opportunities within the company and industry to stay on top of emerging trends & solutions. Seek out opportunities to make your role and the broader team more effective.

What We’re Looking For:

• 2 years’ experience in a complex demand/supply planning environment, revenue management role, or systems integration/testing role required.
• Bachelor’s Degree required, preferably in Information Systems, Data Analytics, Statistics, or Revenue Management 
• Advanced proficiency in SQL & Large datasets required: Demonstrated proficiency in writing complex queries, interpreting large data sets, and ensuring data quality.
• Systems & Data Validation: Proven ability to test and validate technology solutions against established criteria, ideally in a revenue, pricing, or related domain required.
• Enterprise Systems Understanding: Familiarity with how systems integrate within a large-scale environment, including data flows, APIs, and enterprise technology stacks required.
• Critical Thinking & Problem-Solving: History of diagnosing issues, identifying root causes, and proposing clear, logical solutions in fast-paced settings required.
• Effective Communication: Ability to articulate complex findings and collaborate effectively with both technical and non-technical stakeholders required.

Preferred Skills:

• Knowledge of revenue optimization, pricing science, and economic principles.
• Ability to perform exploratory data analysis in Databricks (or similar cloud data platform)
• General understanding of Python and data science frameworks (Pandas, PySpark)
• Experience working in iterative development cycles, including sprint planning and collaborative release management.
• History of championing team building, development, and mentorship within your organization.

Salary : $80,000