Business Insights & Data Analyst

You will:

• Collaborate with internal stakeholders to provide in-depth analysis and business insights, and support tasks as appropriate to achieve wagering business KPIs and cross-divisional business needs.
  
  Use analytics tools to provide recommendation from the result with the team on wagering segment’s business issues and marketing programs, digital and physical channel design and operations as well as generating insights for other Divisions
• Conducts customer analysis, enhance understanding of customer portfolio and presents the data to assist management decision making
• Peruses customers performance trend & monitor changes in customer behaviours to identify risk/opportunities in business
• Transform data analytics results into dashboards and reports with business insights and recommendation
• Support customer management projects on customer targeting, lists preparation and analysis.
• Provide data analytics service to other departments of the Club.
• Ensure compliance with Responsible Gambling Policy and all stipulated legal requirements pertaining to wagering, thereby protecting the integrity of the Club’s businesses.
• Undertake other duties as assigned by supervisors.

You should have:

• Bachelor degree in Statistics, Quantitative Analysis, Computer Science, Data Science or related disciplines
• A minimum of 3 years’ relevant experience in customer analysis and data visualization
• Hands-on experience in relational database
• Experience in various data transformation techniques to aggregate transactional data
• Ability to work extensively with analytics tools to provide actionable insights on marketing, business performance and trends.
• Strong interest in design, develop and maintain reports and dashboards as well as to conduct data analysis.
• Experience working with SQL is a must.
• Familiarity with various analytic tools/languages such as Python, SAS, R, VBA, Tableau and Alteryx.
• Strong business acumen and sensitive to consumer market trends
• Experience in customer data modelling a plus