• Excellent school and undergraduate academics, with a BA in Finance, Business, Economics (or equivalent), Mathematics, or Engineering preferred
• Prior related experience in an analyst or senior analyst role in an FP&A team in a fast-growing SaaS business with experience desired
• Possess a robust foundation in data science with expertise in Excel, and mastery data modelling, and advantage to have coding or data science skills (SQL)
• Demonstrable success in being able to critically evaluate data to derive actionable insights, adept at simplifying complex data insights into compelling outputs using tools like PowerBI and Executive and Senior leader presentations
• Demonstrate strong analytical skills to compile, structure, examine, and present substantial data sets accurately and comprehensively
• Prior related experience in financial and non-financial analytics, financial budgeting and forecasting essential (SaaS experience with a strong understanding and application of key SaaS KPI’s preferrable)
• Record of leveraging data to influence business decision making, with a high aptitude for problem solving and financial modelling. Strong Excel and PowerPoint skills highly advantageous. Effective communicator with the ability to distil information from data level to management consumption
• Detail-oriented and organised, with focus on accuracy and completeness; thrives in fast-paced environment while balancing multiple tasks

Desirable

• Due to our continued growth, we are currently seeking a Junior Commercial Analyst to join our dynamic Finance team
• Support with improving FP&A’s core modelling architecture and infrastructure including reporting, budgeting, and forecasting, and across our three statements, multi-year, and debt financials
• Provide financial modelling and scenario analysis as part of the broader FP&A budgeting, forecasting and analytics activities
• Collaborate with Fenergo’s functions to define and build weekly/monthly key reports crucial for driving decision-making processes for the leadership team
• Leveraging our data lake and source systems to clean, analyse, and compile data into easily digestible, meaningful reports
• Support with automation efforts to ensure timely delivery of reports, minimizing manual efforts and enhancing efficiency
• Support the enterprise-wide budget, forecasting, and longer-term strategic planning processes, building the necessary models, outputs, and insights that supplement those
• Provide financial and non-financial scenario analysis, strategic decision support, market research, and competitor analysis as required