Finance Analyst
Job summary
The Financial & Data Analyst is a hybrid role that bridges the Finance and Operations functions of the organization. Sitting within the Finance team and reporting directly to the CFO, this position combines the rigour of financial planning and analysis (FP&A) with the capability of a data analyst to deliver actionable, data-driven insights across t
Job descriptions & requirements
Financial Planning & Analytics
Lead the preparation of monthly, quarterly, and annual financial reports including variance analysis against budget and forecast.
Conduct profitability analysis, cost modelling, and scenario planning to support strategic business decisions.
Monitor financial performance against KPIs and highlight risks and opportunities to the CFO on a regular basis.
Prepare executive-level financial summaries, board packs, and CFO presentations.
Develop and manage advanced Excel models for financial forecasting, data manipulation, and scenario analysis.
Support the business on ad-hoc requests and stakeholder inquiries
Operational Analytics & Country Support
Partner with Country Managers to understand their reporting needs and develop bespoke dashboards that track operational and financial KPIs relevant to each market.
Design, build, and maintain Power BI dashboards and reports for finance and commercial use, with a focus on accessibility for Country Managers across all regions.
Establish standardised reporting frameworks that can be applied consistently across countries and business units.
Act as a trusted analytics partner to country leadership, providing ad hoc analysis and insights to support local decision-making.
Facilitate cross-country benchmarking and identify best practices through data comparison.
Qualifications & Experience
Bachelor’s Degree in Accounting, Statistics, Data Science or a similar field
Minimum of 5 years’ experience in data analytics, or FP&A roles, preferably within solar industry
Advanced proficiency in Microsoft Excel (pivot tables, complex formulas, Power Query, financial modelling).
Demonstrated expertise in Power BI including dashboard development. Experience with DAX, SQL, Python, and other data analysis tools would be a plus
Attention to detail and data accuracy; Curious and commercially minded
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