Senior Product Margin Data Analyst job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: Job Senior Product Margin Data Analyst position at NVIDIA


DatePosted 15 Days Ago bot
NVIDIA Senior Product Margin Data Analyst
Experience: Highly Experienced
Pattern: full-time
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degreeMaster's (M.A.)
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking an exceptional Senior Product Margin Data Analyst to join our Sales Finance Analytics team. As an integral member of the FP&A team, our organization’s overarching responsibilities are to deliver the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decisions-making at all levels of the company and improving our financial performance. This is a critical position within the Finance organization, requiring knowledge of product, advanced tools, analytical skills and analytical capabilities, great attention to detail, and ability to deliver to Company’s timelines. It is a visible role within Finance for an energetic individual who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment. What you’ll be doing: Act as Supply-Demand Data Analyst to develop and maintain a SSOT data repository that serves as the single source of truth for both supply and demand metrics, ensuring consistency, accuracy, and accessibility of reporting company-wide to support data-driven decision-making. Build master data management solutions to normalize inconsistent product naming conventions across systems (marketing names, SKU hierarchies, product families) enabling accurate cross-functional margin reporting and analysis. Partner closely with Product FP&A, Operations FP&A, Product Marketing, Procurement, and Costing teams to design comprehensive reports and dashboards that deliver actionable insights into margin drivers, supply chain efficiency, and inventory health. Enhance and automate current reporting workflows by designing and implementing robust data processing solutions using SQL and Python on Databricks, increasing efficiency and usability for partners. Build comprehensive product margin analytics by integrating revenue, cost of goods sold (COGS), supply chain costs, and inventory data to provide end-to-end visibility into product profitability across GPU, memory, and rack system products. Design and build enterprise data warehouse (EDW) solutions in Databricks that consolidate SAP ERP data (procurement, production, inventory, costing), demand planning data, and financial data to enable real-time margin analysis and supply-demand matching. Analyze product cost structures including material costs (wafers, substrates, memory, components), subcontracting fees (OSAT, CEM), and overhead allocations to identify margin improvement opportunities and support pricing decisions. What we need to see: 8+ years of experience in data modeling, reporting, and analysis, working closely with business partners. Proficiency in Excel, SQL, Python, Tableau or Power BI. Strong data modeling skills in SQL is essential. Bachelor's degree or equivalent experience in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Finance or Economics. MBA or equivalent experience is a plus. Product first thinking and demonstrated success in driving data-driven business growth and process improvements in a similar industry or role. Experience in presenting findings from data analyses to senior management and other team members. Demonstrable ability to design and implement change management plans, driving new processes and analytics that influence business decisions and outcomes. Highly motivated self-starter with the ability to work independently in a fast-paced and ambiguous environment, managing multiple priorities and leading change and process improvement. Ways to stand out from the crowd: Experience in SAP MM, SAP Material Ledger, SAP MRP, SAP SD, SAP FICO, and/or margin analysis modules like COPA & COPC. Experience in semi-conductor manufacturing, especially in Data Center products. Familiarity with semiconductor or electronics manufacturing, especially in Data Center products, including understanding of wafer fabrication, assembly/test operations (OSATs), and contract electronics manufacturing (CEMs). Experience building analytics on cloud data platforms (Databricks, Snowflake) with strong understanding of modern ETL patterns and data warehouse design principles. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/   Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until February 21, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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