Data Analyst

Qureos Inc•Orlando, FL

51d

About The Position

We are seeking a detail-oriented and analytical Data Analyst to collect, analyze, and interpret data that supports business operations and informed decision-making. The ideal candidate will work with cross-functional teams to identify trends, monitor performance, develop reports, and provide actionable insights that help improve guest experiences and operational efficiency.

Requirements

Strong proficiency in Microsoft Excel or Google Sheets.
Strong analytical, critical-thinking, and problem-solving skills.
Excellent attention to detail and commitment to data accuracy.
Strong written and verbal communication skills.
Ability to explain analytical findings clearly to technical and non-technical audiences.
Ability to manage multiple projects, prioritize tasks, and meet deadlines independently.

Nice To Haves

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.
Knowledge of SQL and experience with databases is preferred.
Familiarity with data visualization tools such as Power BI or Tableau is an advantage.
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.

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.