Vacancies at Summit Recruitment and Search

The successful candidate will be responsible for overseeing revenue management strategies, reservation operations, and distribution channels. He/She will ensure the efficient operation of the hotel’s revenue-generating functions while maintaining a focus on guest satisfaction and profitability.

Key Responsibilities

• Develop and implement the hotel’s revenue and market strategy to optimize pricing, positioning, inventory, and performance across rooms, MICE, F&B, and other revenue streams.
• Drive revenue growth and market share by applying revenue management principles to improve ADR, RevPAR, RPI, and overall commercial performance.
• Collaborate with the GM, Director of Sales & Marketing, and Finance Director to prepare and manage the annual hotel budget, forecasts, and commercial targets.
• Lead pricing and sales strategy for transient, group, meetings, and events in coordination with Sales, Marketing, and M&E teams.
• Conduct continuous market and competitor analysis including pricing trends, demand patterns, seasonality, and distribution channel performance.
• Oversee e-commerce and digital distribution performance, including OTA, GDS, website production, rate parity, content accuracy, and online visibility.
• Prepare and present monthly, quarterly, and annual performance reports, including revenue analysis, forecasts, and strategic recommendations.
• Develop and lead the revenue and reservations team, including training staff on revenue management principles, ensuring collaboration across departments, and monitoring team performance.

Key Qualifications

• Bachelor’s Degree in hotel management or in a related field
• A minimum of 5 years of Revenue & Reservations Management experience
• Excellent communication and interpersonal skills, with strong written and spoken English.
• Strong leadership and team management abilities, with a self-motivated and results-driven mindset.
• Comprehensive knowledge of hotel revenue management concepts, systems, and competitive market dynamics.
• Strong analytical and strategic thinking skills, with the ability to interpret market data and translate insights into commercial strategy.
• Financial management capability, including P&L analysis, budgeting, forecasting, and capital expenditure planning.
• Proficiency in revenue management systems, hotel systems, and analytical tools, including advanced spreadsheet applications.
• Strong execution and performance management skills, with the ability to implement strategy and deliver measurable commercial result.

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The successful candidate will be responsible for designing, building, and maintaining the organisation’s data infrastructure to support high-quality Business Intelligence (BI) and analytics across all departments. He/She will ensure that data from operational and financial systems is reliably captured, cleaned, structured, and transformed into intuitive dashboards and analytical tools that empower data-driven decision-making across the group’s properties and leadership teams.

Key Responsibilities

• Design, build, and maintain ETL/ELT data pipelines across multiple systems (PMS, POS, CRM, procurement, HR, financial systems).
• Develop and optimise data models (star/snowflake schemas) and maintain the data warehouse/data lake as the organisation’s single source of truth.
•  Ingest, clean, validate, and monitor data quality, ensuring consistency, completeness, and reliability across all datasets.
•  Build and enhance BI dashboards and reports (Power BI, Tableau, Looker, Qlik) that are user-friendly, commercially relevant, and visually intuitive.
• Translate business questions into BI requirements, ensuring accurate SQL/DAX logic and consistently applied data definitions.
• Collaborate with Finance, Operations, Commercial, HR, and Technology teams to understand data needs and deliver actionable technical solutions.
• Create reusable data assets such as semantic layers, data marts, feature stores, and validated master datasets.
• Document data flows, transformation logic, system architecture, and maintain an updated data catalogue.
• Ensure data governance, security compliance, and implement best practices for metadata management.
• Automate repetitive data tasks, identify improvement opportunities, and drive continuous enhancement of BI and analytics systems.

Key Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum of 5 years’ experience in data engineering, BI development, or backend data architecture roles.
• Strong experience designing ETL/ELT pipelines and working with modern data warehousing technologies.
• Proficiency in SQL, Python, and data modelling concepts (dimensional modelling, semantic layers).
• Hands-on experience with BI tools such as Power BI, Tableau, Looker, or Qlik.
• Strong understanding of database systems (SQL & NoSQL) and cloud data environments.
• Experience managing master datasets and integrating data across multiple operational systems.
• Excellent analytical skills with the ability to translate business needs into technical solutions.
• Strong documentation skills and familiarity with data catalogues, data lineage, and governance frameworks.
• Experience working with automation, process optimisation, and workflow efficiencies