data scientist.

• Analyze and Recommend: Evaluate existing data warehouse systems and suggest upgrades and improvements.
• Development and Installation: Oversee the development and installation of data warehouse systems.
• Testing and Troubleshooting: Perform tests, troubleshoot issues, and ensure quality assurance.
• Safety and Data Recovery: Implement safety procedures and data recovery plans.
• Documentation: Develop user manuals, policies, procedures, and safety protocols.
• Collaboration: Work with other departments and professionals in data warehouse system development.
• Maintenance and Upgrades: Ensure installations, maintenance, and upgrades are on schedule and meet client specifications.
• Performance Monitoring: Monitor data warehouse system performance, identify and solve problems, and ensure optimal operation.
• System Interfaces: Manage data warehouse system interfaces for stability and security.
• Change Control: Handle data warehouse system change control processes, including assessing change requests, developing plans, testing, and releasing changes.
• Data Analysis & Modeling:
  • Develop predictive models (e.g., attendance forecasting, ride wait times, seasonal demand).
  • Analyze guest behavior data (ticketing, app usage, spending patterns) to drive personalized marketing.
  • Optimize staffing, inventory, and ride maintenance schedules using statistical methods.
• Reporting & Visualization:
  • Create dynamic dashboards (Tableau/Power BI) for real-time KPIs: crowd density, revenue, customer satisfaction.
  • Automate reports for stakeholders to monitor operational efficiency.
• Database Management:
  • Query and manage large datasets (SQL, Python/R) from POS systems, IoT sensors, and CDP/CRM platforms.
  • Ensure data integrity across platforms
• Collaboration:
  • Partner with IT vendors to integrate analytics tools into park apps and IoT devices.
  • Support A/B testing for digital campaigns and in-park promotions.

skills and experience required.

• Education: Degree in computer science or IT; business administration courses or degree is advantageous.
• Certification: Relevant certifications may be required.
• Experience:
  • At least 3 years of progressive experience in hospitality or theme park industry.
  • At least 1 years of experience in Ticketing, PMS, Retail, F&B, and Supply Chain system maintenance/operation.
• Strong written and verbal communication skills.
• Excellent interpersonal and leadership skills.
• Detail-oriented, able to maintain accurate system documentation, manage time productively, and keep records of activities.
• Data Warehouse Skills:
  • Familiar with data warehouse architecture and design principles.
  • Proficient in SQL and database management systems (e.g., Oracle, SQL Server, MySQL).
  • Knowledge of ETL (Extract, Transform, Load) processes and tools (e.g., Informatica, Talend).
  •  Capable of data modeling and data analysis.
  • Knowledge of big data technologies (e.g., Hadoop, Spark) and cloud data warehouse solutions (e.g., Amazon Redshift, Google BigQuery).
  • PostgreSQL: Proficient in managing and optimizing PostgreSQL databases.
  • Power BI: Skilled in using Power BI for data visualization and reporting.
  • Data Governance: Knowledge of data governance frameworks and best practices to ensure data quality and consistency.
  • Data Security: Knowledge of data security and privacy protection, able to implement and maintain data security measures.
  • Performance Optimization: Capable of optimizing data warehouse performance, including index optimization, query optimization, and storage optimization.
  • Automation: Skilled in using scripts and automation tools (e.g., Python, Shell scripts) for data warehouse management and maintenance.