Verint is a leader in CX automation. The world’s most iconic brands rely on our open platform and team of AI-powered bots to create tangible AI business outcomes, now. Today’s organizations face skyrocketing expectations for delivering better customer experiences (CX) across every channel. But hiring more workers and increasing workforce expenses isn’t a sustainable option. AI offers a solution – and that’s where Verint comes in. We empower brands with groundbreaking AI via our next-gen open platform. The first of its kind, Verint Open Platform helps organizations increase CX automation to achieve their strategic objectives and realize significant ROI. The Verint Open Platform provides a team of AI-powered bots to augment human staff across the enterprise, including contact centers, web/mobile channels, branches, back offices, CX offices, and more. The result? Organizations can create capacity, lower costs, and continually improve CX. It’s all possible with CX automation. Center of Excellence in Financial Analytics and Innovation Team Description: The Center of Excellence in Financial Analytics comprises a dynamic and diverse team of professionals with expertise in finance, computer science, data analytics, data engineering, machine learning & AI, and FP&A. Our team is dedicated to driving innovation, leveraging analytics techniques, and utilizing financial insights to optimize decision-making within the organization. Collaborative and driven, our team members work closely together to deliver high-quality business insights and contribute to the success of the CFO Organization. Location: Bangalore India Job Title: Specialist– FP&A (Financial Analytics) Job Summary: We are looking for a sharp and results-oriented Specialist – FP&A (Financial Analytics) to join our growing Center of Excellence team in Bangalore. This role will play a critical part in supporting recurring deliverables such as Board Metrics, Quarterly Business Reviews (QBRs), and strategic analytics for SaaS business performance. The ideal candidate will have strong FP&A experience, with a deep understanding of SaaS metrics such as ARR, NRR, CAC, CLTV, and the financial levers across customer success, sales operations, marketing, and product strategy. Job Description: Drive preparation and delivery of executive-level presentations for QBRs, board meetings, monthly reporting and CFO reporting packages. Develop and maintain dashboards and models for SaaS metrics such as ARR, NRR, GRR, CAC, CLTV, Payback Period, and Gross Margin. Collaborate with business leaders to build and refine economic models across sales, CS, marketing, and R&D investments. Support recurring corporate FP&A cycles (budgeting, forecasting, long-range planning) with high-quality financial analytics. Partner with data engineering and IT teams to ensure consistent, automated, and accurate reporting of KPIs. Translate analytical insights into compelling narratives and visualizations for executive consumption. Required Qualifications: MBA or advanced degree in Finance, Economics, or Analytics. 5–8 years of experience in Financial Planning & Analysis, Business Finance, or Strategy roles—preferably in a SaaS or technology company. Strong understanding of SaaS business models, KPIs, and financial performance drivers. Excellent Excel and financial modeling skills; working knowledge of Power BI, Tableau, or similar BI tools. Proficiency in SQL or other query languages is a strong plus. Experience collaborating with cross-functional teams and working in matrixed environments. Strong communication and presentation skills. Preferred Qualifications: Prior experience in supporting investor reporting and public company performance metrics. Experience supporting global finance teams or centers of excellence in a matrixed SaaS business environment. Prior experience in supporting global finance teams or COEs. Why Join Us? Work at the intersection of finance and strategy in a high-impact analytics team. Get hands-on exposure to cutting-edge SaaS metrics and financial operations. Contribute to executive-level decision-making in a fast-paced, data-driven environment. Show more Show less