Partner with commercial and sales teams to build, challenge and refine budgets, forecasts and business cases.
Prepare monthly management reporting, including variance analysis of revenue, gross margin and operating costs against budget and forecast.
Develop and maintain financial models to support pricing, customer profitability and investment decisions.
Analyse sales performance by event, customer and region, and clearly communicate the drivers behind the numbers.
Support the annual budgeting and quarterly reforecasting cycles, consolidating inputs from across the business.
Track and report on key commercial KPIs, identifying risks, opportunities and corrective actions.
Evaluate capital expenditure and new business proposals, providing ROI, payback and sensitivity analysis.
Identify and lead opportunities to automate manual reporting and processes, using tools such as Power Query, Python or AI-driven assistants to improve speed, accuracy and data quality.
Champion the adoption of new data, analytics and AI tools within the Commercial Finance team, building dashboards and self-service reporting that put insight directly in the hands of the business.
Ensure compliance with internal controls, company policies and applicable UAE financial regulations.
Qualifications & Experience
Bachelor's degree in Finance, Accounting, Economics or a related discipline.
Professional qualification (or active progression towards) such as ACCA, CIMA, CFA or CPA is strongly preferred.
3–5 years of relevant experience in financial analysis, FP&A or commercial finance, ideally within a fast-paced commercial environment.
Demonstrable experience business-partnering with non-finance stakeholders.
Prior experience in the UAE or wider GCC region is an advantage.
Skills & Competencies
Advanced Microsoft Excel skills, including financial modelling; proficiency with ERP systems (e.g. SAP, Oracle, Microsoft Dynamics).
Strong analytical capability with the ability to translate complex data into clear, concise recommendations.
Excellent communication and stakeholder-management skills, with confidence presenting to senior leadership.
Experience with BI and visualisation tools (e.g. Power BI, Tableau) is desirable.
A genuine passion for AI, automation and data, with curiosity about emerging tools (e.g. generative AI assistants, Python, SQL, Power Query) and how they can transform finance.
Commercial acumen, attention to detail and a proactive, solutions-oriented mindset.
Ability to manage multiple priorities and meet deadlines in a dynamic environment.
