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Sr. Revenue Data Analyst - Systems Testing & Implementation

Hertz

From $80,000
Sep 9, 2025
Bonita Springs, FL, USA
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Hertz is looking to revolutionize its pricing capabilities by validating and enhancing its next-generation revenue management system.

Requirements

  • 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.
  • 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.

Responsibilities

  • Validate pre-defined test cases and user stories to ensure that all functional and business requirements are met.
  • Apply advanced SQL and analytical techniques to verify data integrity, identify anomalies, and troubleshoot issues across large datasets.
  • Works closely with internal and external teams to share test results, relay feedback, and ensure alignment with desired business outcomes.
  • 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.
  • Promote and participate in the exchange of learning across the organization.

Other

  • 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
  • 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.
  • History of championing team building, development, and mentorship within your organization.