DESTINATION INSIGHTS & PLANNING ANALYST

DESTINATION INSIGHTS & PLANNING ANALYST Job Purpose: 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. Key Responsibilities: Destination Strategy & Insights • 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. Commercial & Financial 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. Revenue & Performance Analytics • 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. Retail & Business Development Analytics • 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. Data Analytics & Business Intelligence • 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. Management Reporting • 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. Qualifications & Experience • 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 within Saudi Arabia or the GCC is advantageous. • Exposure to destinations, mixed-use developments, tourism, hospitality, retail or commercial real estate is strongly preferred. Technical Skills • 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. Candidate Profile 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 stakeholders. • Ability to manage multiple analytical priorities in a fast-paced environment. • Strong ownership, curiosity and initiative. Preferred Background Candidates from destination development, tourism, hospitality, mixed-use real estate, retail, commercial strategy or management consulting environments will be particularly relevant. Experience analysing visitor/customer behaviour, revenue performance, commercial opportunities, retail/leasing performance or destination KPIs will be a strong advantage. Show more Show less

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 within Saudi Arabia or the GCC is advantageous. Exposure to destinations, mixed-use developments, tourism, hospitality, retail or commercial real estate is strongly preferred.

Destination Strategy & Insights: 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. Commercial & Financial 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. Revenue & Performance Analytics: 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. Retail & Business Development Analytics: 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. Data Analytics & Business Intelligence: 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. Management Reporting: 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.