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Senior Analyst, Business Analytics

2 months ago


Kennedy Space Center, United States Universal Orlando Full time
Job Description & Requirements

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Below code block contains - Job Description & Apply/Refer & Share

Job Description & Requirements

Universal Orlando Resort believes in-person collaboration is key to our success. Many of our Team Members work in a hybrid capacity, contributing from the workplace a minimum of three days per week. There are also roles that require being on-site full time. Limited remote opportunities may be available within specific departments. You'll learn more about this during the recruitment process.

JOB SUMMARY:

Implement and execute revenue management and pricing solutions to drive superior financial performance through advanced analytic methods. Run and monitor predictive models to understand price elasticities and determine optimal pricing for Universal Express, Food & Beverage, Merchandise and other businesses within Universal Parks. Communicate recommendations to Senior Executives and provide support in the implementation of those recommendations.

MAJOR RESPONSIBILITIES:
  • Implement and execute revenue management models that reflect price elasticity for all guest facing products sold at domestic theme parks and support automation of Revenue Management decision making and identify opportunities to drive incremental profitability. Drive efforts which will include data preparation to accurately predict the market response to changing prices.
  • Review model accuracy, adjust price, calculate demand sensitivity and make recommendations that maximize profitability. Measure market response at the product and category levels across multiple locations and parks. Maintain and review baseline historical pricing, seasonality, transaction volume, revenue, penetration, per capita, pricing, etc.
  • Deliver weekly and annual pricing recommendations; collaborate with product owners and their senior leaders to take action to drive incremental revenue. Develop and maintain dashboards/reporting and drive performance measurement.
  • In a collaborative fashion, troubleshoot modeling and optimization anomalies with the data science revenue management team.
  • Coach and mentor junior team members, providing guidance on revenue optimization strategies, pricing analysis techniques, data interpretation and effectively communicating recommendations
  • Understand and actively participate in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
  • Perform other duties as assigned.
EDUCATION:
  • Bachelor's degree is required.
  • Master's degree/PhD is preferred. Industrial Engineering, Operations Research, Management Science, Mathematics, Statistics or equivalent
EXPERIENCE:
  • 5+ years of experience in the field or in a related area; or equivalent combination of education and experience.
ADDITIONAL INFORMATION:
  • Advanced proficiency in Microsoft Excel required
  • Proficiency with data visualization tools such as Tableau, PowerBI or similar required
  • Proficiency with SQL and python for data analysis preferred
  • Strong critical thinking and problem-solving skills
  • The ability to work through complex problems
  • Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats.
  • Strong collaboration, interpersonal, technical and presentation skills required.


Your talent, skills and experience will be rewarded with a competitive compensation package.

Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.

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