Lead Workday Reporting Analyst jobs at Nvidia

What you’ll be doing:

• Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.

• Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.

• Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.

• Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.

• Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.

What we need to see:

• 12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.

• Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.

• Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.

• Define new processes and analytics as well as influence business decisions.

• Ability to improve and streamline manual processes and drive efficiency.

• Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.

Ways to stand out from the crowd:

• Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.

• Experience collaborating across a large organization to influence change.

• Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.

• Creative and innovative leader with a positive approach and a focus on business solutions.

• Experience with SAP, SFDC, Tableau and BI Tools applications.

What you’ll be doing:

• Lead financial planning and analysis for the global Hardware Engineering organization, driving forecasting, budgeting, and investment optimization.

• Oversee engineering inventory management, including forecasting, reserve analysis, and excess material reviews.

• Manage global engineering lab investments by planning equipment purchases based on company roadmaps and partnering closely with engineering leaders to ensure alignment with development priorities.

• Develop and maintain dynamic financial reporting frameworks covering budget, forecast, and variance analytics that improve visibility and decision-making.

• Leverage Artificial Intelligence and automation tools (such as Claude, Perplexity, Copilot, Databricks, Alteryx, and Power BI) to build scalable data models, dashboards, and analytical reports that generate actionable business insights.

• Drive process improvements that enhance accuracy, efficiency, and transparency across engineering finance operations.

What we need to see:

• Bachelor’s degree in Finance, Data Science, Engineering, or a related field (or equivalent experience); MBA or advanced degree preferred.

• 5+ years of experience in financial planning and analysis, preferably within a global high-tech or manufacturing organization.

• Proven expertise in data analytics and financial modeling, including proficiency in tools and programming languages such as Python, SQL, or similar.

• Strong understanding of accounting principles and experience with financial ERP systems (SAP experience a plus).

• Exceptional analytical, problem-solving, and business partnership skills with the ability to translate complex data into clear, actionable insights.

Ways to stand out from the crowd:

• Semiconductor and/or manufacturing experience in tech.

• Genuine curiosity in STEM and eagerness to learn new things.

• Strong understanding of industry technology and market dynamics in areas directly related to NVIDIA’s products, research and development.

What You’ll Be Doing:

• Lead and manage aspects of silicon business operations, including wafer and advance packaging supply chain management, capacity, pricing, and contract negotiations, product roadmap influence, and relationship management. Help shape and influence our production process decisions to ensure flawless execution and world-class results.

• Assist with business negotiations including preparation of RFQs for product tape out awards, pricing, capacity allocations, and other key business drivers.

• Assist the business team, ensuring they are equipped to meet our operational goals and respond to challenges with agility.

• Thrive in problem-solving and react swiftly to issues, maintaining the seamless flow of operations in a dynamic environment.

• Influence upper management by highlighting competitive technologies, ensuring timely decisions that support our business objectives.

• Partner with suppliers to secure expedites, supporting new product ramps and mitigating urgent shortages.

• Resolve capacity constraints by collaborating with suppliers, internal planning, and engineering teams, ensuring smooth operations and minimal disruptions.

• Work closely with the BU, Engineering, and Ops teams on advance packaging roadmaps and production ramps, aligning efforts to mitigate potential risks and ensure successful product launches.

• Manage foundry partner relationships and be a key individual to initiate/handle escalations.

What We Need to See:

• Equivalent experience in Engineering, preferably Electrical, Mechanical, or Chemical Engineering, will be considered in lieu of a Bachelor’s degree. An advanced degree or equivalent is a plus. A strong technical foundation will provide the vital expertise for this role.

• MBA or demonstrated financial expertise through proven experience. Ability to apply financial principles will be invaluable in driving efficiency and cost reduction.

• 15+ yrs of relevant experience in semiconductor operations, with a preference for fab environments (e.g., TSMC, UMC). Previous experience in the semiconductor industry will ensure a smooth transition into this role. Knowledge of advanced packaging processes is a major plus.

• Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

• Strong leadership and team management skills, with a record of successfully leading cross-functional teams. Encouraging and motivating teams will be critical in achieving our goals.

• Excellent communication and interpersonal skills, with a proven ability to collaborate effectively with individuals both inside and outside the organization. An ability to connect with others will be key in building and sustaining successful partnerships.

• Expertise in supply chain management, production planning, and logistics within the semiconductor industry. Possessing a deep understanding of these areas is crucial for improving our operations.

Ways to stand out from the crowd:

• Familiarity with collaborator companies in semiconductor manufacturing. Existing relationships will provide a strong foundation for success in this role.

• Forward-thinking with the ability to plan for future opportunities. Proactive approaches will help us prepare for upcoming developments in our operations.

• Strong project management and negotiation skills. Ability to manage projects and negotiate agreements effectively will be highly valued.

• Familiarity with industry trends, market conditions, and competitive landscape.

• Consistent track record of driving operational excellence and continuous improvement. A sustained history of delivering outstanding results will set you apart.

What you'll be doing:

• Own and complete the building and development of reporting solutions across SFDC, Wrike, Power BI, and related platforms based on field and management needs.

• Lead needs assessments and requirements analyses to identify efficient tools and processes for business reporting.

• Build, analyze, and present data-driven insights and forecasts, offering actionable recommendations to collaborators.

• Develop and maintain NVIS dashboards that deliver clarity and performance visibility across key operational metrics.

• Collaborate with cross-functional teams—engineering, operations, planning, OEM partners, and logistics—to document and optimize lifecycle processes.

• Serve as the primary contact for Data Analytics process blocking issues for lifecycle accountability, ensuring efficient and transparent issue resolution.

• Monitor operational performance, document workflows, and drive continuous improvement initiatives across data and logistics functions.

What we need to see:

• Bachelor’s degree or equivalent experience.

• 5+ years of experience overall, with at least 4 years in data reporting, process mapping, supply chain, logistics, or related program management.

• Verified background in building dashboards and analytics through SFDC, Wrike, Power BI, or related tools.

• Strong understanding of information systems integration, reporting methodologies, and data visualization guidelines.

• Excellent analytical, problem-solving, and communication skills for cross-functional collaboration.

• Demonstrated ability to detail and refine processes, manage reporting tasks, and synthesize insights for executive audiences.

What you'll be doing:

• Serve as the primary, high-impact contributor on complex features. Dedicate significant time to producing production code across the full stack, including UI, APIs, services, and infrastructure.

• Code Review Leadership & Quality Assurance: Lead the code review process, setting and implementing thorough coding standards, performance benchmarks, and architectural integrity to ensure all merged code is high-quality, maintainable, and robust.

• Architectural Ownership & Portability: Define and own the long-term technical roadmap, architecture, and design. This includes the required assurance that the deployment pipelines and services are platform-agnostic and easily deployable across the broader NVIDIA ecosystem, deliberately avoiding internal infrastructure dependencies.

• Foundation Model Deployment Strategy: Lead the strategic implementation of web services and efficient batch processing queues to seamlessly integrate and operationalize our world foundation models into the customer-facing platform.

• System Performance & Reliability: Implement and make sure standards for production-grade performance, monitoring, and fault tolerance across all services. Proactively identify and resolve systemic technical debt and scalability bottlenecks.

• Deployment & Operational Excellence: Take ultimate ownership of the CI/CD pipelines, container orchestration strategy (Kubernetes/Helm), and operational readiness, ensuring seamless scalability and reliability in production.

• Team Mentorship & Guidance: Mentor and guide the engineering team on advanced practices in full-stack development, distributed systems design, performance optimization, and clean, portable code architecture.

• Multi-functional Partnership: Act as the key technical liaison, translating complex requirements from Product Managers, ML Engineers, and Data Scientists into robust, portable, and implementable designs.

What we need to see:

This role requires a proven track record of significant experience and technical mastery:

• Minimum 12+ years of hands-on experience developing and deploying scalable full-stack web services in a cloud environment.

• Proven Tech Lead or equivalent Senior/Staff level experience with demonstrated ability to define system architecture, mentor engineers, and take end-to-end technical ownership of a major platform while remaining deeply active in coding and code reviews.

• Expert-level proficiency in designing and scaling distributed microservices architectures using gRPC and REST APIs.

• Deep expertise in modern frontend frameworks and building highly responsive, data-intensive UIs capable of managing high-frequency data flows.

• Direct experience designing and deploying containerized applications that use a GPU (e.g., NVIDIA Container Toolkit).

• Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints.

• Mastery of container orchestration, including Kubernetes and Helm for sophisticated, portable, multi-service production deployments.

• Proficiency in backend languages such as Python and/or Go, and TypeScript for the frontend.

• Strong practical experience with Cloud Infrastructure (AWS S3) and running complex data storage/access patterns (SQL, key-value stores).

• Expertise in CI/CD practices (GitLab, Jenkins) with a focus on automation, testing, and improving deployment velocity and stability.

• Bachelor's degree (B.S.) or equivalent experience in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field; Master's degree (M.S.) preferred

Ways to stand out from the crowd:

These skills represent a strong alignment with our specific domain challenges:

• Experience in data querying platforms such as Apache Druid, ClickHouse, or Elasticsearch.

• Familiarity with autonomous vehicle simulation environments (e.g., Carla) and synthetic data generation pipelines using foundational models.

What you'll be doing:

• Design intuitive data models and semantic layers to enable self‑service and AI apps reducing ad‑hoc query friction for business users.

• Enrich data products with business glossary and metadata to reduce AI hallucinations, improve user adoption, searchability and governance.

• Lead multi‑site integrations across new manufacturing plants and ops applications standardizing schemas and controls; enabling cross‑plant insights.

• Engineer scalable pipelines with data integrity functions and audit features. Automate measuring and monitoring data quality for improved decision making.

• Explain the data designs, system changes, enhancements, address any questions or issues effectively to the stakeholders.

• Partner with stakeholders, solve business problems, train users, help with data and queries.

• Optimize Lakehouse systems to deliver high performing solutionswhile controlling operational costs.

What we need to see:

• BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).

• 5+ years of programming experience (Python, PySpark, SQL, etc.).

• 5+ years of experience with big data technologies and cloud platforms (AWS, Databricks, Snowflake).

• 12+ overall years in Data Warehousing, implementing projects with data Lakehouse solutions.

• Experience with enterprise BI databases like SAP BW/HANA, ERP/CRM systems like SAP/Salesforce, planning applications like IBP, APO etc.

• Knowledge of operational processes in chips, boards, systems, and networking.

• Proficiency in Tableau, PowerBI, and SAP reporting applications.

Ways to stand out from the crowd:

• Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.

• Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members

• Proven experience leading multiple analytics projects in a dynamic, fast-paced environment

• Data science, AI/ML experience

• Positive interpersonal skills with ability to convey good verbal and written communication

NVIDIA is seeking an analytical Business Analyst for End User Support, a critical function in Information Technology. As a Business Analyst, you will drive the design, delivery, management, and improvement of IT services to meet Employee Experience needs. You will play a pivotal role in aligning IT services with business requirements, ensuring effective service delivery, improving the end-user experience, and championing clear, consistent communication and reporting to all relevant team members. At times, you will step in to lead key areas of IT End User Support such as Service Efficiency, Productivity and Operational Excellence. Agility is key for this role, along with a strong communication skill, and an ability to drive our programs

What you’ll be doing:

• Develop, document, and coordinate adaptable operational processes that align with Support Engineering and business strategies.

• Identify bottlenecks, inefficiencies, and automation opportunities to drive speed and scalability.

• Proactively establish and drive collaborative partnerships with NVIDIA business leaders and partners to ensure IT alignment, robust support for requirements, and enable future growth.

• Executing against roadmaps and improving operational mechanisms that drive a highly effective and efficient Support Engineering organization.

• Champion product and service innovations using data insights, analysis, and metrics.

• Drive efficiency in the IT processes, in partnership with the business, engineering team, and the IT Organization.

What we need to see:

• Bachelor's degree or equivalent experience.

• 5+ years of experience.

• Experience driving process efficiency or related field

• Experience in building trusted advisor relationships, influencing others and working effectively with people at all levels in an organization.

• Shown success in transformative alignment of process setting, translating strategy into actionable steps.

• Exhibits strong verbal and written communication skills accompanied by the ability to influence both directly and indirectly and build consensus throughout the business.

• Knowledge of communications standard processes and willingness to develop strategies and complete plans.

Ways to stand out from the crowd:

• Operates with a high level of intellectual curiosity, demonstrating a startup personality that is proactive, hands-on, driven, strategic, accountable, ethical, collaborative, hard-working, and productive

• Track record of driving business outcome and successful implementations, sales, strategies, requiring collaboration across different team members