Sr Revenue Data Analyst

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