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Analyst-Revenue Management & Analytics Jobs
Company | Disney Parks, Experiences and Products |
Address | Anaheim, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Entertainment Providers |
Expires | 2023-07-02 |
Posted at | 11 months ago |
Job Overview
- Predictive Analytics – Leverage mathematical and statistical techniques along with historical data to drive insights to determine continuous improvement opportunities and develop predictive demand and revenue models
- Data Visualization – Leverage data visualization techniques, tools, and communication skills to present complex analytical findings in clear business terms that facilitate acceptance, decision-making, and execution by business partners and senior executives
- Business Optimization – Evaluate key business drivers to measure the success of commercial decisions, and develop science-based approaches to inform and drive long-term strategic direction
- Partner Collaboration – Develop and maintain relationships with Marketing, Consumer Insights (CIMA), Legal, and Sales to communicate performance, drive new initiatives, and identify impacts of strategic opportunities
- Demonstrated analytical problem-solving, creative thinking, and partnering skills
- Proficiency in acquiring, organizing, cleansing, and manipulating large amounts of data, advanced skills in Microsoft Excel and demonstrated ability of one or more technical themes (R, SQL, Tableau, python, etc)
- Demonstrated exceptional sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact
- Bachelor’s degree in Data Science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields
- Demonstrated familiarity with statistical modeling, optimization, or data science techniques
- Prior experience with pricing, revenue management, and/or forecasting
- Three plus years of work experience in statistical, business analytics, data science, and/or strategy development
- Understanding of revenue management concepts (e.g., dilution, displacement)
- Master’s degree in Data Science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields
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