FP&A Manager, Sales

As an FP&A Manager, Sales at Axonius, you will focus on financial reporting and planning for our sales teams. Your responsibilities include partnering with sales to develop strategies that maximize revenue, building financial models, preparing annual operating plans and forecasts, managing OpEx and headcount forecasting, and enhancing reporting capabilities to track key metrics.

Candidates for the FP&A Manager, Sales position at Axonius should hold a Bachelor's degree in Business, Finance, or a related field, along with 5+ years of FP&A experience. Proficiency in Excel and experience with financial planning software like Workday Adaptive Insights are essential. A strong understanding of SaaS business models is also crucial.

The FP&A Manager, Sales at Axonius plays a vital role by providing data-driven insights and strategic financial planning that supports the sales team. By identifying key business drivers and helping to refine revenue-maximization strategies, the FP&A Manager ensures that sales goals are met efficiently, which ultimately contributes to the overall success and growth of Axonius.

Key skills for the FP&A Manager, Sales role at Axonius include advanced analytical and quantitative skills, strong proficiency in Excel, excellent communication skills for creating presentations, adaptability in a fast-paced environment, and the ability to build relationships with cross-functional teams. These skills are vital for effective collaboration and strategic financial planning.

Absolutely! Axonius is committed to supporting career growth. As an FP&A Manager, Sales, you will have access to ongoing mentorship programs, learning stipends, and the possibility of advancing into higher strategic positions within the finance or sales departments as you demonstrate your impact on the company.

In responding to this question, highlight specific financial models you've created in previous roles, detailing the purpose of the model and how it impacted decision-making. Focus on your proficiency with tools like Excel and how you utilize advanced data analysis techniques to create these models.

Discuss your approach to prioritization, emphasizing the importance of deadlines and the impact of each task on business goals. Outline any tools or methods, such as project management software or priority matrices, that you use to stay organized.

Explain your analytical process for interpreting financial data, including data collection, analysis techniques, and how you translate these into actionable insights. Give examples of insights you've uncovered that led to improved financial performance.

Share specific examples of past collaboration with sales teams, emphasizing your role in aligning financial goals with sales strategies. Mention how you worked together to develop revenue-maximizing strategies and how that collaboration benefited overall performance.

Discuss the financial planning and analysis tools you have experience with, such as Workday Adaptive Insights or Excel. Explain how you've utilized these tools to perform budgeting, forecasting, and reporting tasks.

Describe techniques you use to manage time and ensure quality under tight deadlines. Highlight your ability to focus on high-impact tasks and communicate effectively with your team when facing time constraints.

Provide a detailed example of a financial strategy you implemented in a previous role, including the situation, the strategy, and the positive outcome that resulted. Focus on measurable impacts, such as increased revenue or improved efficiency.

Identify key metrics such as Customer Acquisition Cost (CAC), Months Payback, Net Revenue Retention (NRR), and productivity metrics. Discuss why these metrics are vital for understanding sales performance and how you would track them.

Talk about your strategies to maintain clear and consistent communication, such as regular updates and leveraging tools like Slack or project management software. Stress the importance of transparency in reporting and aligning goals.

Reflect on current industry trends and challenges, such as data accuracy, analysis speed, and adapting to new forecasting technologies. Discuss how you approach these challenges and your experience in overcoming them.