The Revenue Management Analytics Sr. 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.

What You’ll Do:

Combine data science with day-to-day execution, helping to solve key problems in the process as well as providing solutions for current methods that lack critical data; work with analysts to identify the greatest areas of opportunity Explore data, formulate questions, and deliver insights back to business executives to be prioritized for further testing and exploration Recommend, craft, monitor, and report on the effectiveness of test actions in the marketplace. Communicate executable actions based on business and market trends for geographical areas as well as segments Utilize skills as a data storyteller, presenting insights with appropriate supporting detail  Evaluate the accuracy of on-rent, rental, and return forecasts as well as generate new forecasts, utilizing the Cloud (AWS) and Databricks to ensure data is procured in real-time Automate the post-mortem process to determine strategy efficacy 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

What We’re Looking For:

Bachelor’s degree or equivalent required; preferably in Statistics, Marketing Analytics, Operations Research, Business Analytics, or Information Engineering 2+ years previous experience in revenue management and/or pricing strategy area or a Master’s degree in the relevant subject matter may be accepted in lieu of professional experience Ability to collaborate with other teams to solve unique problems  Strong problem-solving/analytical skills Intellectual curiosity and driven to solve complex problems Excellent technical skills are required, including advanced SQL, Tableau, and Excel skills.  Ideally proficient in: Statistics and probability experience a plus Data mining through Python and R Utilize Cloud resources such as S3, Athena, Lambda, Glue ETL and Databricks Visualizing data via R, Python