The Walt Disney Company

Partner Collaboration - Develop and manage relationships with Marketing, Consumer Insights (CIMA), Legal, and Sales to communicate performance, drive new initiatives, identify business impacts and strategic opportunities, and help translate challenges into digestible business takeaways. Demonstrated ability for storytelling through data , e.g. large scale data integration and data visualization to facilitate acceptance and execution among leaders - hands-on experience with one or more data visualization tools (Tableau, Power BI, etc). Proven experience using statistical modeling, optimization, or data science techniques to inform and driven business decisions and to inform new methodologies to steer strategy - hands-on experience with one or more modeling tools (R, python, etc). Bachelor's degree in data science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields. Master's degree in Data Science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields preferred

revenue management

Job Posting Title: Sr Analyst-Revenue Management & Analytics Req ID: 10074009 Job Description: About the Role & Team We combine strategic and analytical thinking to drive commercial, financial, and operational value for Disney Parks by shaping business decisions in Ticketing, Resorts, Merchandise, Food & Beverage, as well as all other lines of business in the core competencies of yield management, forecasting, pricing, promotions, optimization, and other predictive analytic techniques using mathematical and statistical approaches. We have a natural curiosity to understand the "why" behind business performance and take a proactive role in problem-solving. Our team is results oriented, able to prioritize, and we enjoy a collaborative environment. In this role, you will report to the Manager-Revenue Management & Analytics. What You Will Do <ul><li>Problem-Seeker - Be curiosity driven; seek out business anomalies and patterns using analytical tools and knowledge to shed light and gain understanding of the business to bolster strategies and initiatives</li><li>Predictive Analytics - Hands-on contributor/developer of mathematical, statistical, and other sophisticated models to drive insights, determine continuous improvement opportunities, and help inform strategic business decisions</li><li>Data Visualization - Leverage data visualization techniques, tools, and communication skills to present sophisticated analytical findings in clear business terms that facilitate acceptance, decision-making, and execution by business partners and senior executives</li><li>Business Optimization - Evaluate key business drivers to measure the success of commercial, financial, and operational decisions; and develop science-based approaches to help achieve business objectives and drive long-term strategic direction</li><li>Partner Collaboration - Develop and manage relationships with Marketing, Consumer Insights (CIMA), Legal, and Sales to communicate performance, drive new initiatives, identify business impacts and strategic opportunities, and help translate challenges into digestible business takeaways</li></ul> Required Qualifications & Skills <ul><li>Two plus years of work experience in statistical, business analytics, data science, and/or strategy development</li><li>Proficiency in acquiring, organizing, cleansing, and manipulating large amounts of data, advanced skills in Microsoft Excel (including VBA) and proven experience in one or more scripting languages (SQL, python, etc)</li><li>Demonstrated ability for storytelling through data, e.g. large scale data integration and data visualization to facilitate acceptance and execution among leaders - hands-on experience with one or more data visualization tools (Tableau, Power BI, etc)</li><li>Proven experience using statistical modeling, optimization, or data science techniques to inform and driven business decisions and to inform new methodologies to steer strategy - hands-on experience with one or more modeling tools (R, python, etc)</li><li>Demonstrated analytical problem-solving, creative thinking, and partnering skills</li><li>A strategic attitude, e.g. seeks out opportunities for course-correction and has the ability to influence organizational decisions on broader ideas and objectives</li><li>Demonstrated ability to meet deadlines, balance multiple priorities, and perform job responsibilities accurately with minimal direction</li><li>Demonstrated outstanding sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact</li></ul> Preferred Qualifications <ul><li>Five plus years of work experience in statistical, business analytics, data science, and/or strategy development</li><li>Prior experience with pricing, revenue management, and/or forecasting</li><li>Understanding of revenue management concepts (e.g., dilution, displacement)</li></ul> Education <ul><li>Bachelor's degree in data science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields</li><li>Master's degree in Data Science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields preferred</li></ul>The hiring range for this position in California is $101,800 to $124,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Finance Job Posting Primary Business: DLR Finance Primary Job Posting Category: Forecasting Employment Type: Full time Primary City, State, Region, Postal Code: Anaheim, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2024-01-04

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