Lead Operations Analyst
About Analog DevicesAnalog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X. About the RoleJoin a global Silicon organization of 400+ people as the foundational operations data analyst supporting rapid growth. In this role, you’ll build and organize datasets of technical skills across teams, enabling leadership to understand resourcing, pinpoint staffing and skill gaps, and drive smarter hiring. You’ll also develop AI-powered tools to forecast software licensing costs and automate reporting, helping the business move faster and make better decisions. You’ll regularly interface with senior leaders, HR, Finance, and program leads worldwide, gaining exposure across borders and functions.Key ResponsibilitiesData Structure & Organization: Build and maintain operational datasets to track technical skills, staffing, and capacity across the global organizationInsight Generation: Use AI-powered business tools to analyze resourcing, hiring, and skill gaps; deliver actionable reports for leadershipForecasting & Automation: Create scalable analytics and AI-enabled solutions that automate reporting, improve forecasting accuracy, and support strategic operational planning.Stakeholder Engagement: Serve as a key interface across Operations, HR, Finance, and program leads; gather, validate, and synthesize data from diverse sourcesCross-Functional Collaboration: Work with global teams to ensure data quality and support high-priority business decisionsPresentation & Communication: Prepare and present findings to senior and global leaders in concise, clear formatsMust Have SkillsData Structures & Storage: Understanding of basic data structures and storage techniques; able to build and organize datasets for analysisAI-Driven Analysis: Experience using AI-powered business tools for reporting, forecasting, or scenario modeling (no custom AI development required)Data Synthesis: Ability to collect, reconcile, and analyze data from multiple sources and teamsCommunication: Strong written and verbal communication skills for collaborating and presenting to leadershipGlobal Mindset: Comfortable working across regions and with global stakeholdersPreferred Education and ExperienceBachelor’s degree in Finance, Business, Analytics or an equivalent combination of education and 5+ years of related experienceExperience in a growing, matrixed, or global organizationFamiliarity with dashboard/reporting tools (e.g., Power ...