Hertz Corporation

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Revenue Data Analyst

Revenue Data Analyst

Job ID 
# Positions 
Experience (Years) 
Posted Date 
Revenue Management

More information about this job

General Responsibilities

The Revenue Data Analyst will leverage data science skills and, by partnering with various areas of the Revenue Management department, develop analyses, tools and reports to support Revenue Management decisions. The Revenue Data Analyst will be responsible for cleaning and combining large sets of structured and unstructured data using SQL, SAS, R or Python to derive actionable insights and to present those to management and internal users in Excel, Power Point or Tableau.


Key Responsibilities:

  • Develop, disseminate and present reports to internal stakeholders on revenue metrics to include: brand, customer and product segment performance, competitive activity, distribution channel performance and market share.
  • Proactively track key metrics, identify trends that warrant deeper analysis, and advise decision makers of the business implications.
  • Conduct investigative research, identify root causes and propose long-term solutions to business problems.
  • Measure and monitor KPIs for benchmarking of key revenue initiatives and projects through generating reporting dashboards.
  • Satisfy ad-hoc data requests for internal and external high level reporting.
  • Enhance existing reporting tools on an on-going basis to accommodate evolving business needs.
  • Develop and monitor data quality metrics to ensure that reporting used to make decisions is both accurate and comprehensive.

Mandatory Requirements

Educational Background:

  • Bachelor Degree required; preferably in Economics, Business, Finance, Computer Science, Statistics, Marketing Analytics, Engineering, or other quantitative field. Master’s degree strongly desired.


Professional Experience:

  • 1-2 years experience in SAS, SQL, Tableau, R or Python
    • Demonstrated ability to query and derive meaning from large data sets in relational databases such as SQL Server, Teradata, Oracle and flat files.
  • 0-2 years prior experience in a pricing, revenue management and/or quantitative analysis function required, even if only internships or part-time positions during/post undergraduate education; college research projects are OK.
  • Prior experience in the Rent-A-Car or travel industry a plus.

Preferred Requirements


  • Practical understanding of micro-economic concepts and pricing/yield management principles.
  • Strong proficiency in Microsoft Office applications; particularly advanced Excel functionality including Pivot Tables, Macros, and advanced/logic functions. VBA a plus.


  • Strong problem solving skills.
  • Excellent written and oral presentation skills.
  • Excellent interpersonal and collaborative skills.

Required Technical Skills:

  • SQL or SAS programming

Preferred Technical Skills:

  • Tableau, R, Python

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