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CTS Group

Financial Analyst - Riyadh

CTS Group

Construction · 1,001-5,000 employees

Sep 06
financial-analyst Mid (2-5 yrs) Full-time
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About the role

You will prepare budgets, forecasts, and management reports while analyzing project and operational performance. You will also partner with cross-functional teams to translate financial data into actionable business recommendations.

What they look for

Financial modeling Budgeting Forecasting Management reporting Variance analysis KPI dashboards Cost analysis Margin analysis Cash flow analysis Investment appraisal Scenario analysis Sensitivity analysis ERP systems Project controls Data consolidation Financial analysis

Requirements

Candidates must hold a degree in Finance, Accounting, Economics, or a related field. Strong analytical, modeling, and data processing skills are required for this role.

Full description

What You'll Do

You will prepare budgets, forecasts, and management reports, analyze project and operational performance against plan, and identify cost, margin, and cash improvement opportunities. You will partner with project, commercial, and operations teams to translate numbers into actionable recommendations.

Key responsibilities include:

  • Build, maintain, and improve financial models, budgets, and rolling forecasts
  • Prepare monthly management reports, variance analysis, and KPI dashboards
  • Analyze project cost, margin, and cash flow, and flag risks and opportunities
  • Support business cases, investment appraisals, and scenario/sensitivity analysis
  • Partner with project and operations teams to track actuals vs. budget
  • Consolidate data from ERP and project controls into clear, reliable reporting
  • Support month-end close, accruals, and cost allocation reviews
  • Help standardize and automate recurring reporting and analysis

Who We're Looking For

You have a degree in Finance, Accounting, Economics, or a related field, with strong analytical and modeling skills and a sharp eye for detail. You are comfortable turning large, messy datasets into clean, decision-ready analysis.

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