Senior Organizational Analyst - Information Technology

The Information Technology (I.T.) division of Enterprise Holdings builds and implements powerful solutions that help to drive and support the global operations of our brands and businesses, including Alamo Rent A Car, Enterprise Rent-A-Car and National Car Rental. With 9,000 branch locations across the world and more than 97,000 employees, Enterprise Holdings and its affiliates own and operate almost 1.9 million cars and trucks.

Here, you will be part of a team that creates and delivers leading-edge technologies and expansive systems that impact every aspect of our growing businesses. We provide the resources to enable and develop our more than 2,000 innovative I.T. professionals in a variety of career paths. This is where it all starts. All systems GO!


The IT Workforce Analytics team is responsible for bringing insight to help improve operations, fuel innovation, and execute on organizational goals. We do this by focusing on three key areas: 1) quality of source data, 2) integration and accessibility to information, and 3) providing tools to assist in identifying connections and correlations that will provide insight into our current and future workforce.

Duties and Responsibilities:

  • Develops and executes dashboards, scorecards, presentations, communications and reporting that drive decisions for organization initiatives, resources, and programs
  • Proactively monitors, analyzes, trends and troubleshoots organizational data to identify and make recommendations for programs to meet objectives
  • Gathers reporting requirements and delivers the best analytical solution to help solve the business need
  • Assists in translating data analysis into key insights and recommendations to be used for strategic, fact-based decision making
  • Presents, explains, and discusses results of analysis concisely and effectively to influence and support decision-making
  • Designs, develops, enhances, tests, and implements both scheduled reporting and ad-hoc reporting requests
  • Identifies and develops tools to automate and streamline workforce data
  • Maintains data integrity and ongoing quality control of systems, tools and delivered reports through testing and validation
  • Develops data dictionaries to d escribe the content, format, and structure of our talent management systems
  • Partners with Workforce Services leadership to identify, implement and ensure compliance on audits and reporting
  • Stays up to date on knowledge and research related to area; Provides benchmarking and best practice research on external workforce practices; evaluates and implements for the organization as needed

Equal Opportunity Employer/Disability/Veterans


  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must be committed to incorporating security into all decisions and daily job responsibilities
  • Two plus years of experience analyzing data in a professional environment using research and database software
  • Intermediate to advanced skill level in Microsoft Excel, specifically in areas of data analysis (pivots, charts, dashboards, complex formulas) and Microsoft Access
  • Advanced level understanding of MS Office Suite
  • Strong research, analytical, decision making and problem solving skills
  • Excellent organizational and time management skills
  • Outstanding communication skills and the ability to communicate analysis, trends and opportunities to our customers
  • Ability to work as an individual contributor or within a team, as needed
  • Demonstrated ability to make sound and well-informed decisions regarding a broad range of factors
  • Strong customer service-orientation

  • Working knowledge of relational databases and database structures
  • Experience with Talent Management systems (HRIS, performance management, talent acquisition, learning & development)
  • Bachelor's degree and three plus years of related experience OR equivalent combination of education and experience
  • SQL scripting
  • Multivariate statistical analysis (regression/GLM, clustering, classification)

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