As a Data Analyst at InterContinental Hotels & Resorts, you will support business decision-making by extracting, analyzing, and interpreting data from hotel systems and business platforms. You’ll develop insights that help optimize hotel operations, drive revenue performance, improve guest experience, and support cross-functional initiatives across departments such as Operations, Revenue, Sales & Marketing.
Key Responsibilities:
- Data Extraction & Preparation
- Collect, clean, validate, and transform data from multiple hotel systems and databases (e.g., PMS, revenue systems) using SQL
- Analysis & Modeling
- Perform statistical analysis, predictive modeling, and forecasting using tools such as IBM SPSS, Excel, or other analytics platforms.
- Reporting & Dashboards
- Develop and maintain dashboards, scorecards, and KPI trackers to monitor performance and trends.
- Insights & Recommendations
- Generate actionable insights and business recommendations through structured analysis and storytelling.
- Cross-Functional Support
- Collaborate with hotel operations, marketing, revenue management, and commercial teams to support analytics needs and improve data processes.
- Presentations
- Present findings clearly and effectively to stakeholders, both verbally and via written reports.
Required Skills & Qualifications:
- Education:Bachelor’s degree in Business Analytics, Statistics, Data Science, Computer Science, Mathematics, Economics, or related field.
- Technical Skills:
- Strong SQL skills for querying and manipulating large datasets.
- Experience with IBM SPSS for statistical analysis
- Advanced Microsoft Excel (pivot tables, formulas).
- Familiarity with BI tools (e.g., Tableau, Power BI) is a plus.
- Soft Skills:
- Excellent analytical and problem-solving skills.
- Strong communication and presentation abilities.
- Attention to detail and ability to meet deadlines.
- Ability to work collaboratively across teams.
Preferred / Nice-to-Have:
- Experience in hospitality analytics is advantageous
- Prior exposure to predictive analytics, forecasting, or advanced statistical techniques.
- Certification in analytics tools (e.g., SPSS).
