Sr. Financial Analyst, Ring and Blink Finance

Ring and Blink is actively seeking a Sr. Financial Analyst to provide financial support the company's operations and cost efficiency efforts. You will be responsible for working with a team that will partner with business to help them understand and manage their budgets and forecasts, quantify cost reduction efforts and proactively deliver cost related insights to relevant constituents. You will also facilitate communications across the organization, deliver insightful financial analyses and reports to internal and external Business Partners and work closely with the accounting function to ensure timely and accurate financial reporting.

Locations for this role include: Sunnyvale, CA area.

Key job responsibilities

• Develop, own, and track end-to-end program financials for all new programs (at both program and portfolio level) during PDP phases for Ring and Blink, ensuring alignment with business goals and financial targets
• Track and report program costs, units, and ASP forecast changes throughout the full program lifecycle by partnering closely with Product, Operations, and Category teams to drive financial transparency and accountability
• Deliver comprehensive monthly and quarterly program financial reports, highlighting key risks, variance drivers, and actionable next steps to senior leadership
• Partner with business leaders and cross-functional finance teams to influence program decisions, provide strategic financial guidance, and ensure optimal resource allocation
• Conduct deep-dive financial analyses to identify cost optimization opportunities, quantify savings potential, and present data-driven recommendations to stakeholders
• Automate routine financial reporting and data reconciliation processes using AI and advanced tooling, reducing manual effort and improving cycle time
• Apply predictive analytics and statistical modeling techniques to improve forecast accuracy and proactively identify financial risks and opportunities
• Streamline finance workflows through AI-powered solutions for automated data extraction, anomaly detection, and exception-based reporting
• Enhance data quality and integrity by leveraging AI to identify inconsistencies, flag discrepancies, and drive continuous improvement in financial data management