1 Hospitality Roles jobs in Riffa
Remote Hospitality Industry Data Analyst
2021 Tubli
BHD55 Hourly
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a skilled and experienced Remote Hospitality Industry Data Analyst to join their dynamic team. This is a fully remote, contract-based position perfect for an analytical professional who thrives on uncovering insights from complex datasets within the hospitality sector. You will be instrumental in providing data-driven recommendations to enhance guest experiences, optimize operational efficiency, and drive revenue growth for various hospitality establishments. Your work will be crucial in helping our clients make informed strategic decisions.
Your responsibilities will include collecting, cleaning, and analyzing large volumes of data from various sources, such as guest feedback surveys, booking engines, operational reports, and point-of-sale systems. You will be expected to identify trends, patterns, and anomalies, and translate these findings into clear, concise reports and actionable recommendations for our clients. This involves developing and maintaining dashboards and visualizations that effectively communicate key performance indicators (KPIs) and insights. Proficiency in data visualization tools is essential.
The ideal candidate will have a strong background in statistical analysis, data modeling, and experience with SQL, Python, or R for data manipulation and analysis. Familiarity with business intelligence tools like Tableau, Power BI, or Looker is highly desirable. A Bachelor's degree in Data Science, Statistics, Economics, Hospitality Management, or a related quantitative field is required. Proven experience working within the hospitality industry, understanding its unique operational dynamics and data challenges, is a significant advantage. Excellent communication and presentation skills are necessary to effectively convey complex findings to both technical and non-technical stakeholders. You must be self-motivated, highly organized, and capable of managing your workload effectively in a remote setting. This is a fantastic opportunity to contribute your analytical expertise to a wide range of hospitality businesses and make a tangible impact on their success, all while enjoying the flexibility of a remote role.
Key Responsibilities:
Your responsibilities will include collecting, cleaning, and analyzing large volumes of data from various sources, such as guest feedback surveys, booking engines, operational reports, and point-of-sale systems. You will be expected to identify trends, patterns, and anomalies, and translate these findings into clear, concise reports and actionable recommendations for our clients. This involves developing and maintaining dashboards and visualizations that effectively communicate key performance indicators (KPIs) and insights. Proficiency in data visualization tools is essential.
The ideal candidate will have a strong background in statistical analysis, data modeling, and experience with SQL, Python, or R for data manipulation and analysis. Familiarity with business intelligence tools like Tableau, Power BI, or Looker is highly desirable. A Bachelor's degree in Data Science, Statistics, Economics, Hospitality Management, or a related quantitative field is required. Proven experience working within the hospitality industry, understanding its unique operational dynamics and data challenges, is a significant advantage. Excellent communication and presentation skills are necessary to effectively convey complex findings to both technical and non-technical stakeholders. You must be self-motivated, highly organized, and capable of managing your workload effectively in a remote setting. This is a fantastic opportunity to contribute your analytical expertise to a wide range of hospitality businesses and make a tangible impact on their success, all while enjoying the flexibility of a remote role.
Key Responsibilities:
- Collect, clean, and analyze data from diverse hospitality sources (e.g., PMS, POS, surveys, booking engines).
- Develop and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI).
- Identify key trends, patterns, and insights related to guest behavior, operational performance, and market dynamics.
- Provide data-driven recommendations for improving guest satisfaction, operational efficiency, and revenue generation.
- Conduct statistical analysis and modeling to support strategic decision-making.
- Collaborate with clients to understand their data needs and business objectives.
- Present findings and insights clearly and concisely to stakeholders.
- Ensure data accuracy and integrity throughout the analysis process.
- Stay current with emerging trends and technologies in data analytics and the hospitality industry.
- Bachelor's degree in Data Science, Statistics, Economics, Hospitality Management, or a related field.
- Minimum 3 years of experience in data analysis, with a focus on the hospitality industry.
- Proficiency in SQL, Python, or R for data manipulation and analysis.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong understanding of statistical methods and modeling techniques.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and manage projects effectively in a remote environment.
- Experience with hotel operational metrics and guest satisfaction drivers.
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