Assistant Manager - Finance Planning & Analysis

The financial analyst will be the architect of our financial planning and the primary lead for the budgeting cycle.

This is a critical role to transition FP&A into a strategic hub that supports Almosafer s IPO readiness.

You will be responsible for building the 5-year business plan, managing the governance of rolling forecasts, and ensuring our financial modeling is driver-based and investor-ready.

This role is about moving beyond data collection to provide the 'engine room' for executive decision-making.

Lead our three-phase budget approach (Preparation, Top-Down, and Deep-Dive).

Build and maintain a centralized, dynamic three-statement model.

You will ensure the budget is fully driver-based and integrated with the Business Plan(s).

Manage the official quarterly forecasting processes.

Establish clear timelines and templates for Finance Business Partners (FBPs) and document 'lessons learned' to constantly refine the accuracy.

Maintain a comprehensive, dynamic IPO-ready business plan.

This model must be assumption-driven and capable of running complex sensitivity and scenario analyses.

Act as the technical lead for IPO due diligence.

You will provide accurate, advisor-ready financial data and reconciliations to ensure the business plan is validated by external stakeholders.

Carry out detailed variance analysis (Actuals vs.

Budgets/Forecasts).

You are expected to look past the numbers to identify the root causes of performance shifts.

Design a Monthly Performance Intelligence Package.

This should integrate P&L, Cash Flow, and Balance Sheet data to provide a 'Macro' view of company health alongside operational deep-dives.

Support build a centralized financial dataset to serve as the single source of truth for all corporate finance reporting.

Formalize the budget process by creating structured templates that allow FBP inputs to flow smoothly into the consolidated output.

Lead the digitalization of management reports via Tableau, moving the team toward AI-enabled variance commentary and predictive analytics.