Insights & Planning Analyst

The Destination Insights & Planning Analyst will provide analytical and decision-support capabilities across Destination Strategy, Revenue Management, Business Development and Retail/Leasing.

The role is responsible for analysing destination, visitor, commercial, revenue, retail and market data; developing business cases and forecasts; and translating complex information into clear insights and recommendations for management.

This position requires a commercially minded analyst who combines strong analytical capability with financial modelling, business intelligence and strategic thinking.

• Conduct market, competitor and destination benchmarking to support strategic planning and commercial initiatives.
• Analyse visitor profiles, behaviour, demand patterns, preferences and market trends.
• Translate quantitative and qualitative analysis into clear business insights and management recommendations.
• Support strategic reviews, business planning and ad hoc management analysis.
• Develop and support business cases, feasibility assessments and commercial evaluations.
• Perform financial modelling, scenario, sensitivity and break-even analysis.
• Assess commercial opportunities by combining market, operational and financial information.
• Evaluate key assumptions, risks and potential commercial returns.

• Analyse revenue, pricing, transactions, demand, utilisation, conversion and other commercial KPIs.
• Identify trends, seasonality, performance drivers, risks and opportunities.
• Support demand and revenue forecasting using historical performance and market intelligence.
• Produce regular and ad hoc performance analysis with clear commercial implications.

• Analyse retail/leasing performance, tenant mix, rental benchmarks and commercial opportunities.
• Monitor leasing and business-development pipelines, including conversion, commercial value and key dependencies.
• Benchmark relevant operators, tenants, concepts and competing developments.
• Develop fact-based analysis to support commercial, tenant, partner and operator discussions.
• Consolidate, clean, validate and reconcile data from multiple business sources.
• Build structured datasets and analytical models for recurring reporting.
• Develop and maintain management dashboards using Power BI or equivalent tools.
• Use Power Query, DAX and related analytical tools to automate and improve reporting.
• Maintain clear metric definitions, assumptions and data-quality controls.

• Prepare executive-level dashboards, reports and presentations.
• Track departmental KPIs, initiatives and performance against targets.
• Convert complex analysis into concise conclusions, implications and recommended actions.
• Respond to ad hoc management requests with accurate, decision-useful analysis.

• Bachelor's degree in Finance, Economics, Business, Business Analytics, Statistics, Data Analytics, Real Estate, Tourism/Hospitality, Industrial Engineering or a related discipline.
• 3-5 years' relevant experience in destination/tourism development, real estate, hospitality, commercial strategy, consulting, revenue management, FP&A, business analytics or a similar analytical environment.
• Experience with in Saudi Arabia or the GCC is advantageous.
• Exposure to destinations, mixed-use developments, tourism, hospitality, retail or commercial real estate is strongly preferred.

• Advanced Excel and financial modelling skills.
• Strong Power BI
  , including Power Query, data modelling and DAX.
• Strong PowerPoint and executive presentation capability.
• Experience with business cases, forecasting, scenario and sensitivity analysis.
• Understanding of revenue drivers, pricing, NPV, IRR, payback and break-even analysis.
• Strong market research and benchmarking capability.
• Working knowledge of SQL is preferred.
• Exposure to Python, VBA, Power Automate or similar reporting automation tools is advantageous.

The successful candidate will be a commercially minded and hands-on analyst who can move comfortably between strategy, finance, commercial performance and data analytics
.

They should demonstrate:

• Strong structured problem-solving and analytical thinking.
• Ability to identify the commercial implications behind the data.
• High attention to detail and data accuracy.
• Confidence working with incomplete or fragmented information.
• Strong executive communication and presentation skills.
• Ability to explain complex analysis clearly to non-technical…