Business Process Analyst

The Business Process Analyst plays a critical role in turning attendance, ticketing, and revenue data into decision-ready insights across Miral's attractions portfolio. By combining business analytics, AI-enabled forecasting, and stakeholder partnership, the role helps leaders understand what happened, why it happened, what is likely to happen next, and what actions should be taken to optimize commercial and operational performance. This position works across Sales, Pricing, Marketing, Operations, and Finance to drive forecasting excellence, automate reporting processes, and deliver meaningful insights that support growth, efficiency, and informed decision-making. Job Scope Performance Insights & Storytelling • Own the performance narrative for assigned assets, segments and source markets – actuals vs budget, latest forecast and last year. • Shift outputs from data to storyline: lead with the so-what, quantify the drivers, and close with risks, opportunities and recommended actions. • Decompose ticket revenue and attendance variances into volume, rate and mix effects, drilling down by asset, segment, channel, market, product and promotion. • Deliver post-mortems on seasons, events and promotions assessing incrementality, ROI and cannibalization to inform future offers. • Produce concise, visual, executive-ready material for senior leadership. Forecasting, Budgeting & Scenario Planning (AI-augmented) • Contribute to the monthly rolling forecast rounds and annual budget for attendance, ticket revenue and admission per cap. • Act as a business super-user of the AI Attendance & Revenue Forecasting Engine • Track forecast accuracy and bias at park/day level and by data collection point and feed learnings back to the model. • Integrate external demand signals to build base, upside and downside scenarios and test what-if impacts Automation & AI-Enabled Ways of Working • Maintain and improve the existing suite of Power BI dashboards. This covers data refreshes, data model and DAX updates, fixes and user support, so the dashboards stay accurate and trusted while new outputs are built • Replace manual recurring reporting with automated, self-service outputs (Power BI, interactive dashboards, automated templates) and AI-generated first-draft commentary. • Use generative AI tools and agents to accelerate analysis, variance narration, deck building and model checks – always applying human validation before anything is published. • Identify high-effort, low-value tasks and redesign them; document workflows so they are repeatable, scalable and not dependent on one person. Data Accuracy & Governance • Guarantee the reliability of every published number through reconciliations, cross-source checks and peer reviews. • Detect and escalate data anomalies, mapping gaps and source-system issues to data owners and follow up until resolved. • Support a clean data structure. Business Partnership • Be the go-to analytical partner for Sales, Pricing & Revenue Management, Marketing, Operations and Finance. • Translate stakeholder questions into structured analyses and stakeholder needs into clear requirements for dashboards, data and AI initiatives. • Monitor industry, travel-market and competitor trends and bring relevant external context into recommendations. Essentials • Bachelor’s degree in business, Finance, Economics, Statistics, Data Science, Engineering or a related quantitative field • Minimum 3+ years in business performance, revenue management, FP&A or commercial analytics, ideally in theme parks, attractions, leisure, hospitality, airlines or travel • Track record of automating reporting and presenting insights to senior leadership • Hands-on experience maintaining and developing Power BI dashboards used by business stakeholders • Storytelling: builds clear storylines from complex data and influences decisions through crisp written and verbal communication • Analytics & modeling: advanced Excel modeling; structured problem solving; variance and driver analysis (volume / rate / mix) • AI fluency: practical use of generative AI to accelerate work, with the judgement to validate outputs • BI & dashboards: strong Power BI skills, including report and dashboard development and data modeling (Power Query, DAX) • Ownership: resourceful, autonomous and entrepreneurial; prioritizes and adapts across multiple workstreams Desirable • Master’s degree in a quantitative discipline; certification in Power BI, data analytics, forecasting or AI/machine learning • Hands-on experience building and owning attendance/demand or revenue forecasts and budgets • Exposure to machine-learning forecasting projects, revenue management systems or dynamic pricing • Experience with Microsoft Fabric / Azure, Tableau or similar data platforms • BI & data: Power BI (data modeling, DAX, self-service design) and SQL • Forecasting literacy: time-series concepts, accuracy metrics (WAPE, bias) and enough understanding of ML methods and explainability to challenge a data-science team • Knowledge of revenue management, pricing and promotion effectiveness • Familiarity with external travel and demand data (air arrivals, hotel performance, source-market outlooks)