Sr. Financial Analyst, R&D and BU Finance in Ottawa, Ontario at SiTime Corporation

About SiTimeSiTime is the fast-growing pioneer of Precision Timing, the critical heartbeat powering the AI revolution and next-generation cloud datacenters. While legacy quartz technology struggles under the extreme heat and workloads of massive AI compute clusters, SiTime’s silicon MEMS solutions ensure absolute synchronization, resilience, and scalability.Our programmable semiconductor solutions eliminate timing bottlenecks between GPUs and accelerators, unlocking maximum cluster performance, smaller footprints, and superior power efficiency. Today, SiTime powers over 400 high-growth applications across AI datacenters, automated driving, humanoid robotics, and IoT. With more than 4 billion devices shipped, SiTime is redefining the timing industry to accelerate the future of artificial intelligence.Job SummaryThe Senior Financial Analyst is a business-finance partner supporting R&D and BU Finance leaders with planning, forecasting, close, and decision support. The role owns analytics and management reporting, provides timely variance and run-rate insights, and builds scalable models and templates that improve accuracy and speed for expense management. In this high visible role, you will help guide resource allocation, expense management and investment prioritization across both near-term planning cycles and long -term strategy. You will translate complex data into clear and actionable insights, helping leaders to understand performance drivers, evaluating trade-offs. As a trusted finance partner, you will empower teams to operate with clarity and accountability.

Responsibilities

• Business partnering (R&D and BU): Serve as the primary analytical support for Finance leaders; proactively surface insights on spend, headcount, and key drivers; and ensure stakeholders understand variances and levers.
• Budgeting and forecasting: Maintain bottoms-up forecasts for assigned cost centers; Prepare monthly and quarterly variance explanations versus plan, forecast, and prior periods; Produce concise, leadership-ready commentary highlighting root causes, risks, and recommended actions.
• Program analytics: Measure engineering program level performance including ROI, NPV, Payback and other financial metrics to assist engineering management in measuring operational performance and prioritizing investments. Support investment and cost optimization decisions with ROI models, sensitivity analysis, and clear decision memos.
• Companywide business metrics: Drive alignment on KPIs and key metrics to support monitor business performance, Build and maintain scalable financial models to report data on functions including R&D, Sales Ops, Sales, Marketing, Finance; Support drive growth initiatives, and provide visibility into operating performance.
• Continuous improvement: Identify opportunities to streamline reporting and analysis through automation, BI tools, and standardized processes; document repeatable work instructions and assumptions.