Financial Planning and Analysis Specialist

We are looking for a highly analytical and results-driven FP&A Specialist to join our team in Saudi Arabia. This role will be responsible participating on the process of driving the financial planning, forecasting, budgeting, and analytical processes of the organization. The role requires strong expertise in financial modelling, advanced Excel, and data-driven problem solving to support senior management with strategic insights.

This position will prepare accurate financial models, conduct performance analysis, and provide actionable recommendations that improve business results and operational efficiency. The role collaborates cross-functionally to develop insights that support decision-making and long-term financial health.

KEY RESPONSIBILITIES

Budget & Forecasting:

• Participate in designing strategic plans based on data-driven forecasts.
• Deliver timely forecasting updates backed by analytical rigor and validated business assumptions.
• Lead the annual budget preparation, consolidation, and review cycle, ensuring accuracy and alignment with strategic objectives.
• Conduct detailed variance analysis (actual vs. budget), highlight risks/opportunities, and prepare periodic performance reports.

Financial Modelling

• Build, improve, and maintain driver-based financial models (P&L, cash flow, long-range plans).
• Perform scenario modelling, sensitivity testing, and “what-if” analyses to support strategic decisions.
• Ensure models follow best practices: transparency, accuracy, repeatability, and data integrity.

QUALIFICATIONS, EXPERIENCE, & SKILLS

Academic and professional qualifications:

• Bachelor’s degree in finance or accounting
• Professional certification (CFA, CMA, ACCA) is an advantage.

Experience:

• Minimum 5 years of experience in FP&A, finance, or business analytics within an industrial or FMCG company.
• Demonstrated experience in building complex financial models (Excel, Power BI, or similar).

Proven track record of supporting strategic and operational decision-making through analytics.