REQ15182 Analyst, Gaming Analysis (Open)
POSITION SUMMARY:
Analyst, Gaming Analysis is responsible to perform in-depth statistical analysis in order to optimize gaming machines and table games with the ultimate goal of maximizing the overall gaming profit, while taking into account the complex interactions between customers and their gaming preferences.
He/she is also required to perform routine maintenance to ensure Data Mart is clean and complete.
PRIMARY RESPONSIBILITIES:
- Conducts ad hoc simple analysis as requested by management.
- Assists in data-mining and predictive analysis in the gaming field.
- Reviews and validates KPI data, interprets prevailing trends and prepares reports for review by management.
- Prepares property level periodic reports of key performance indicators and interprets prevailing trends for review by management.
- Conducts routine maintenance of gaming data marts.
- Performs any other projects or tasks as assigned by the Manager, Gaming Analysis.
KEY PERFORMANCE INDICATORS:
- Good and friendly communication manner.
- Displays a high commitment in delivering and improving customer service.
- Develops and maintains constructive relationships with colleagues and external visitors.
- Timely completion of delegated tasks with accuracy.
QUALIFICATIONS:
Experience
- Knowledge in Business Intelligence and Analytics tools such as SAS/SPSS/R.
- Preferably candidate with 1 to 2 years of experience in the field of Business Intelligence and Analytics; candidates with Casino Gaming Analysis experience is given priority.
- Proven track record in highly numerate and analytical roles.
Education
- Tertiary qualifications in mathematics, statistics, economics, actuarial science or accounting
Skills / Competencies
- English language skills mandatory Highly proficient in SAS e-Guide, WRS/IDP and SAS programming.
- Knowledge in Casino Mathematics is an added advantage.
- Highly proficient in MS Word, Excel & Power Point
- Comprehend data structure of various systems downloads, integrations and processes.
- Good interpersonal and communication skills
Other Attributes
- Able to work with large and complex data.
