Sr Revenue Data Analyst

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

29% below the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Sr Revenue Data Analyst Estero, FL, United States 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. The starting salary for this role is $80K; commensurate with experience. 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

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