JOB DESCRIPTION

GENERAL RESPONSIBILITIES

Revenue Management Data Analyst

The Revenue Management Analytics Data Analyst is responsible for gathering, analyzing, and interpreting data to help improve revenue outcomes, gain a competitive edge over rivals, and provide actionable insights to the Analyst, Manager and Senior Director teams. They will report to and work closely with their Director to automate non-differentiated functions to improve the efficiency of the Revenue Management team and generate exception reporting to identify opportunities.

KEY RESPONSIBILITIES:

Combine data science with day to day execution, helping to solve key problems in process as well as providing solutions for current methods which lack critical data; work with analysts to identify greatest areas of opportunity

Explore data, formulating questions and delivering insights back to business executives to be prioritized for further testing and exploration

Recommend, craft, monitor, and report on effectiveness of test actions in the marketplace

Utilize skills as a data storyteller, presenting insights with appropriate supporting detail

Evaluate the accuracy of the On-Rent, Rental and Return forecasts, and recommend improvements or modifications to better harness revenue opportunities

Generate new forecasts, utilizing the Cloud (AWS) and Databricks to ensure data is procured in real-time

Communicate executable actions based upon business and market trends for geographical areas as well as segments

Automate the post-mortem process to determine efficacy of strategy in key markets for major holidays/events. Identify best practices once enough data has been compiled

Generate automated exception reporting to identify areas of revenue opportunity, quantify the opportunities, and prioritize by magnitude

Automate key Revenue Management tasks and reporting, affording market Analysts additional time to spend on more revenue-accretive functions

ESSENTIAL REQUIREMENTS

SKILLS:

Excellent technical skills are essential, including advanced Excel and SQL.

Ideally proficient in:

Data mining through Python and R

Utilizing Cloud resources such as S3, Athena, Lambda, Glue ETL and Databricks

Visualizing data via R, Python and/or Tableau

Ability to collaborate with other teams to solve unique problems

Strong problem solving/analytical skills

Intellectual curiosity and driven to solve complex problems

Statistics and probability experience a plus

EDUCATIONAL BACKGROUND:

Bachelor’s level degree or equivalent REQUIRED ; preferably in Statistics, Marketing Analytics, Operations Research, Business Analytics, or Information Engineering

PROFESSIONAL EXPERIENCE:

2+ years previous experience in a revenue management and/or pricing strategy area or

Master’s Degree in relevant subject matter may be accepted in lieu of professional experience

Experience within a complex demand/supply planning environment

Process innovation and development; management via KPIs

Hertz is a Drug Free Workplace. All employment is contingent on the successful completion of a background screen and a 4-panel drug screen.

Hertz is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, marital status or domestic partnership status, disability, protected veteran status or military status, genetic information, or any other category protected under applicable law. Hertz is committed to taking affirmative steps to promote the employment and advancement of minorities, women, persons with disabilities and protected veterans.