The Manager - Data Reporting is responsible for designing and implementing data-centric solutions that support business growth, inform business decisions, and drive operational efficiency. This role involves understanding business requirements, analyzing processes, and developing data solutions, including ETL/ELT coding, database & architecture design, business intelligence dashboards, predictive analytics, and machine learning. This role offers a unique opportunity to gain hands-on experience across multiple platforms and data domains in GEG, spanning across all business pillars including gaming, hotel, F&B, MICE, etc.
Primary Responsibility• Design and develop scalable and efficient data repositories that integrate and ingest sizeable, structured, and unstructured data from various sources.
• Optimize queries, data models, and ETL processes to improve system performance and ensure efficient data retrieval. Responsible for data cleansing, mapping, transformation, logging, and exception handling processes.
• Perform complex data analysis, identify insights, utilize data science techniques to support business growth initiatives.
• Design and develop interactive dashboards and data solutions that provide actionable insights to stakeholders.
• Support Company AI/machine learning strategies, provide technical and business consultation to deploy tools to maximize business opportunities and operational efficiencies.
• Implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data.
• Collaborate with cross-functional teams, gather requirements, and effectively communicate insights to stakeholders.
• Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Industrial Engineering, or similar fields.
• Minimum of 4 years of experience in technology, analytics, business management, or consulting roles.
• Experience with coding in Python, SQL, R, VBA, etc.
• Experience with data analytics with Microsoft PowerBI, Tableau, Alteryx, etc.
• Experience with database technologies such as ClickHouse, NoSQL, SQL Server, Microsoft SSIS, SSAS, etc.
• Experience with deploying AI and data science solutions to deliver business outcomes.
• Experience with schema design, data modeling, ETL, handling large data sets, and working with structured, unstructured, and geographical datasets.
• Experience with project management with the ability to plan, execute, and deliver on time and within scope. Familiarity with project management tools and methodologies.
• Excellent presentation and communication skillset and ability to articulate complex concepts to senior management, departmental leaders, and other stakeholders.