The NVIDIA Supply Chain Business Transformation organization is seeking an experienced data and Cloud technology professional for the position of a Data Systems Analyst who performs complex, advanced work, designing and implementing data and advanced analytics solutions applying data warehousing skills that require a deeper understanding of Operations related business processes, data and analytics to support the Operations Data needs. This role requires close collaboration with various senior business and cross-functional stakeholders including IT, with a primary focus on enabling data solutions faster for the Operations (Supply Chain Planning) organization
What you’ll be doing:
Collaborate within Supply Chain and multi-functional teams (e.g., Supply Planning, Capacity Planning, Demand Planning, Doc Services and Factory/Inventory Control) to define reporting requirements, document business process workflows—including manual steps and pain points—and develop clear resolution roadmaps.
Craft detailed user stories understanding the business requirements, metrics, dimensions, data fabrication logic, business rules, validation rules etc. with acceptance criteria and solutions required
Design and maintain Power BI/Tableau/Databricks dashboards, curated datasets, and semantic layers to support planning, Control towers.
Partner with data engineers to consume data from data lake to create reports/benchmarks/dashboards/AI driven solutions that helps our end users focus on outcomes
Maintain data definitions, business glossaries and logic, validations, and be able certify data for area of responsibility
Ensure reporting accuracy and performance through validation, documentation of critical metrics and logic, and enablement of self-service tools.
Support enhancements, change control, and improve SAP data accessibility within modern platforms (e.g., Databricks).
Thoroughly test the delivered data assets, validating the data back to the respective source applications to ensure data accuracy, technical and functional requirements.
Work independently, present designs and solutions to the team for review and implementation.
What we need to see:
Bachelor’s degree in Business, Operations/Supply Chain Management, Information Systems, or related field (or equivalent experience).
12+ years of experience in Supply Chain/Operations in Computer and/or Semiconductor Industries, with strong proficiency in analytics and BI development using Power BI, Tableau and/or Databricks.
Hands-on experience with SAP data (S/4HANA, ECC, BW)
Highly skilled in SQL, Python, and data modeling.
Hands-on experience with implementing Data Warehouse in Databricks.
Hands-on experience with developing analytics in Supply Chain Planning functional area (especially in Chips, Boards and Systems manufacturing industry)
Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams.
Positive interpersonal skills with ability to convey, good verbal and written communication.
Ways to stand out from the crowd:
Solid ability to drive continuous improvement of systems and processes.
Ability to communicate at all levels of the organization and turn complex ideas into simple to understand solutions
Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity.
Ability to work in a fast-paced environment where strong organizational skills are essential.
Development of AI solutions that solve business problems and Data science / ML experience is a plus
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- Bachelor’s degree in Business, Operations or Supply Chain Management, Information Systems, or a related field, or equivalent experience
- 12 or more years of experience in Supply Chain or Operations within the computer or semiconductor industries
- Strong proficiency in analytics and business intelligence development using Power BI, Tableau, and/or Databricks
- Hands-on experience with SAP data, including S/4HANA, ECC, or BW
- Advanced proficiency in SQL, Python, and data modeling
- Hands-on experience implementing data warehouses in Databricks
- Hands-on experience developing analytics for supply chain planning, particularly in chips, boards, and systems manufacturing
- Ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams
- Strong verbal and written communication skills
- Ability to develop AI solutions and experience with data science or machine learning
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
