Product Performance Insights Manager
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Key skills for this role
About the Role
Miral Destinations is seeking a Product Performance Insights Manager to own demand forecasting, performance reporting, and the single source of truth for pricing, channel margin, and package profitability.
Key Skills for This Role
Responsibilities
- Own demand forecasting across the package portfolio and drive forecast accuracy up
- Build and maintain the single source of truth — reporting, dashboards, and agreed KPIs
- Lead budgeting, planning, and re forecasting cycles for the packaging function
- Model channel and partner economics, feeding insight to Distribution and Contracting
- Build pricing and profitability models, scenario tools, and decision frameworks
- Establish data definitions and governance so everyone trusts one set of numbers
- Translate complex analysis into simple, decision ready recommendations for senior leadership
Requirements
- 5–8 years in commercial analytics, FP&A, revenue or commercial finance, business intelligence, or data analytics
- Strong technical and quantitative background in forecasting, modelling, and reporting
- Demonstrable budgeting, planning, and forecast accuracy track record
- Advanced Excel and financial modelling essential; Power BI strongly preferred; Python or R a plus
- Able to work cross functionally and present complex analysis simply to senior leaders
- Self starter who builds structure where there isn’t any
- Bachelor’s degree in finance, economics, statistics, data science, engineering, mathematics, or related quantitative field
- MBA or recognised data/analytics certification a plus
- Fluent English; second language is a plus
- Based in, or willing to relocate to, Abu Dhabi
Full Job Posting
Job Role
- This is the analytical brain behind the product distribution function. You own demand forecasting, performance reporting, and the single source of truth for pricing, channel margin, and package profitability across Yield, Distribution, and Contracting. You build the models, dashboards, and framewo
- It is a strongly technical, budgeting and forecasting focused role. You own forecast accuracy, lead the planning and budget cycles, and model the channel and partner economics that tell us where to focus. You are detail obsessed but commercially minded you build things that drive decisions, not re
Key Responsibilities
- Own demand forecasting across the package portfolio and drive forecast accuracy up.
- Build and maintain the single source of truth — reporting, dashboards, and agreed KPIs.
- Lead budgeting, planning, and re forecasting cycles for the packaging function.
- Model channel and partner economics, feeding insight to Distribution and Contracting.
- Build pricing and profitability models, scenario tools, and decision frameworks.
- Establish data definitions and governance so everyone trusts one set of numbers.
- Translate complex analysis into simple, decision ready recommendations for senior leadership.
What success looks like in the first 12 months
- One trusted set of numbers adopted across the sales team.
- Establish the foundation of demand forecasting & reporting structure.
- Demand forecasts measurably more accurate.
- Insight that visibly shapes pricing and distribution decisions.
Experience Required
- 5–8 years in commercial analytics, FP&A, revenue or commercial finance, business intelligence, or data analytics.
- A genuinely strong technical and quantitative background forecasting, modelling, and reporting at the core of what you do.
- Demonstrable budgeting, planning, and forecast accuracy track record.
- Industry is flexible ideally hospitality, theme parks and attractions, travel, e commerce, or tech, but strong analytical and forecasting pedigree in any data rich consumer business is welcome.
- Advanced Excel and financial modelling essential; Power BI strongly preferred; Python or R a plus.
- Able to work cross functionally and present complex analysis simply to senior leaders.
- A self starter who builds structure where there isn’t any.
Qualifications Required
- Bachelor’s degree in finance, economics, statistics, data science, engineering, mathematics, or a related quantitative field.
- MBA or a recognised data/analytics certification a plus.
- Fluent English; second language is a plus.
- Based in, or willing to relocate to, Abu Dhabi.
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