Mohammad Numan

I am excited to apply for the FP&A opportunity. With 4+ years of experience in financial analysis and FP&A, I have developed strong expertise in financial modeling, budgeting, forecasting, variance analysis, reporting, and data-driven decision-making. My experience working with complex financial data and supporting business stakeholders has strengthened my ability to operate effectively in fast-paced and evolving environments. In my current role, I work extensively with advanced Excel, Power Query, Power BI, SQL, and financial automation to streamline reporting and improve analytical efficiency. I have built and automated FP&A models covering Revenue, EBITDA, OPEX, forecasting, and variance analysis, while incorporating validation and reconciliation checks to improve the reliability of financial outputs. I also actively leverage AI tools such as ChatGPT and Claude AI to improve analytical productivity, accelerate data analysis, automate repetitive tasks, and enhance financial reporting and business insights. I recently completed the "Claude for Business Enterprise" certification offered by Genpact, further strengthening my understanding of applying AI tools in a business environment. While my direct experience has been with other financial and analytics platforms rather than Pigment, I am highly adaptable to new technologies and have a strong track record of quickly learning and implementing new tools. I am confident that my FP&A foundation, technical skills, and experience with AI-driven productivity would allow me to quickly become effective with Pigment. I am particularly interested in this opportunity because it combines FP&A with technology, analytics, and collaboration in a high-growth environment. I enjoy partnering with stakeholders, translating financial data into actionable insights, and working collaboratively toward shared business outcomes rather than focusing solely on individual responsibilities. I would welcome the opportunity to bring my FP&A, analytical, automation, and AI capabilities to your team and contribute to building scalable, data-driven financial processes.