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Analyst/Senior Analyst (Data Analytics)
Company Overview
A renowned integrated resort and architectural marvel, this organization stands as a key icon in Singapore’s skyline. Known for its luxurious accommodations, world-class dining, and entertainment experiences, it is committed to delivering exceptional service and hosting signature events throughout the year.
Job Description
The Analyst/Senior Analyst (Data Analytics) plays a key role in the Revenue Optimization department, focusing on maximizing gaming profits by leveraging data insights, statistical models, and operational efficiency.
Key Responsibilities:
Casino Operations:
Analyze various aspects of casino operations, including product performance, manpower efficiency, and dealer performance.
Use statistical models, optimization techniques, and simulations to enhance floor optimization, demand forecasting, and manpower scheduling.
Assist in developing tools and solutions for operational efficiency and gaming floor optimization.
Customers and Marketing:
Conduct pre-campaign analyses, including cost and revenue estimation, and support campaign design with probability calculations and scenario analysis.
Perform in-depth post-campaign analyses to measure effectiveness, revenue impact, and customer behavior changes.
Apply statistical models and machine learning techniques (e.g., classification, clustering) to predict customer behavior and preferences.
Build personalized marketing solutions to optimize campaigns and improve customer experiences.
Collaborate with marketing departments on experiments and A/B testing to enhance campaign ROI.
Provide insights on customer behavior and program usage to support marketing and loyalty program design.
Qualifications
Education & Certification:
Degree in Business Analytics, Applied Mathematics, Statistics, or related fields.
Experience:
Minimum 2 years of experience in business analytics, customer analytics, or marketing analytics, or a Master’s degree in an analytical field for the Analyst role.
Experience in predictive models and machine learning is advantageous.
Technical Skills & Competencies:
Proficiency in programming tools like Base SAS, SAS EG, SQL, R, or Python.
Familiarity with data visualization tools (e.g., Tableau) is preferred.
Strong logical thinking, problem-solving skills, and ability to process large data sets.
Excellent communication and presentation skills.
Passion for data and customer insights.
Additional Preferences:
Experience in the casino industry is a bonus but not mandatory.
Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
Users must click to apply, redirecting to the employer’s career page.
No Liability: SpringCube is not liable for inaccuracies.
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