Senior Data Systems Analyst

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 168,000 - 259,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Data Systems Analyst to design and implement data and analytics solutions for the Operations Data needs within Supply Chain planning. You will collaborate with global teams to define reporting requirements and translate them into scalable dashboards and datasets.

The role requires strong skills in SQL, Python, data modeling, and hands-on SAP data experience (S/4HANA, ECC, BW). Expect rigorous validation and strong stakeholder collaboration. Equity and benefits are provided.

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• 12+ years in Supply Chain/Operations with analytics and BI development.
• Hands-on SAP data experience (S/4HANA, ECC, BW).
• Strong SQL, Python, and data modeling skills.
• Experience implementing Data Warehouse in Databricks.
• Experience in Supply Chain Planning in chips/boards/systems manufacturing.

Responsibilities

• Collaborate with Supply Chain teams to define reporting requirements and workflows.
• Create user stories with acceptance criteria and solutions.
• Design and maintain dashboards and datasets in Power BI/Tableau/Databricks for planning and control towers.
• Partner with data engineers to ingest data from data lake and build reports.

Skills

SQL

Python

Data modeling

analytics

BI development

Education

Bachelor’s degree in Business/Operations/Supply Chain/Information Systems

Tools

Power BI

Tableau

Databricks

SAP data (S/4HANA, ECC, BW)

Job description

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 12, 2026.

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.