Senior Manager Business Analysis

Job Description

Capacity & Labor Optimization

• Conduct throughput and capacity analysis across attractions, F&B, and retail.
• Model demand-based labor plans, including cross-utilization strategies.
• Analyze guest flow and design improvements for queue systems and touchpoint efficiency.
  
  

• Track and analyze operational KPIs: throughput, guest satisfaction, spend-per-cap, staffing ratios, etc.
• Support scenario planning and simulations for key business decisions (e.g., extended hours, seasonal impacts).
• Develop and maintain dashboards and reporting tools for senior leadership.
  
  

• Maintain the integrated operating calendar across functions (rides, entertainment, F&B, retail, maintenance.
• Support planning for seasonal operations, peak days, and special events.
• Collaborate with HR and Ops to optimize staffing models based on guest patterns and forecasts.
  
  

• Identify operational bottlenecks and lead cross-functional improvement initiatives.
• Apply Lean Six Sigma or other structured methodologies to enhance service delivery and resource utilization.
• Monitor the impact of changes and support business case development.
  
  

• Design and implement data collection methods (manual observations, sensor tech, POS, RFID).
• Conduct root cause analyses of operational issues.
• Translate data into actionable insights to drive operational excellence and guest experience enhancements.
• Support adhoc optimization projects as well as optimized design for operational efficiency, including existing assets as well as new developments and expansions
  
  

• Bachelor’s degree in Industrial Engineering, Business Analytics, Operations Management, Engineering, or a related quantitative field.
• 5–7 years of experience in operations planning, business analytics, industrial engineering, or operations management in complex, high-volume environments (e.g., attractions, hospitality, retail, airports).
• Strong analytical and problem-solving skills, with experience in data modeling, forecasting, and operational analysis.
• Proficiency in Excel, Power BI or Tableau, or similar tools for data analysis and visualization.
• Solid understanding of capacity planning, labor modeling, and process improvement techniques (e.g., Lean Six Sigma).
• Experience building and maintaining performance dashboards, scenario models, and business cases.
• Excellent communication and presentation skills; ability to translate complex data into actionable insights.
• Comfortable working cross-functionally and influencing stakeholders without direct authority.