Data Analyst

Key Responsibilities

• Collect, organize, clean, and analyze data from multiple business and operational sources.
• Develop and maintain reports, dashboards, and data visualizations for management and internal teams.
• Monitor key performance indicators (KPIs) related to guest engagement, operations, sales, and business performance.
• Identify trends, patterns, and opportunities for improvement through data analysis.
• Collaborate with departments such as Guest Services, Marketing, Finance, Operations, and Human Resources to support data-driven initiatives.
• Perform data quality checks and investigate inconsistencies or discrepancies.
• Prepare clear and accurate summaries of analytical findings and present recommendations to stakeholders.
• Use tools such as Microsoft Excel, SQL, Power BI, Tableau, or similar analytics platforms to support reporting and analysis.
• Respond to ad hoc data requests and assist with special analytical projects.
• Maintain documentation of data sources, reporting processes, and analytical methodologies.
• Handle business data responsibly and follow applicable company policies regarding data security and confidentiality.

Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Business, Computer Science, or a related field preferred.
• Previous experience in data analysis, business intelligence, reporting, or a related role is preferred.
• Strong proficiency in Microsoft Excel or Google Sheets.
• Knowledge of SQL and experience with databases is preferred.
• Familiarity with data visualization tools such as Power BI or Tableau is an advantage.
• Strong analytical, critical-thinking, and problem-solving skills.
• Excellent attention to detail and commitment to data accuracy.
• Strong written and verbal communication skills.
• Able to explain analytical findings clearly to technical and non-technical audiences.
• Able to manage multiple projects, prioritize tasks, and meet deadlines independently.

Preferred Skills

• Experience working with large or complex datasets.
• Knowledge of data cleaning, transformation, and reporting processes.
• Experience developing dashboards and performance reports.
• Ability to translate business questions into meaningful data analyses.
• Strong organizational and time-management skills.
• Interest in the hospitality, tourism, entertainment, or theme park industry is a plus.