Senior Data Systems Analyst

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 168,000 - 259,000

Full time

3 days ago
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Job summary

NVIDIA Corporation in Santa Clara, CA seeks an experienced Analytics/BI lead to define reporting requirements, build datasets, and deliver dashboards across planning and control towers. Expect collaboration with data engineers, data governance, and cross-functional teams to drive outcomes.

Responsibilities include maintaining data definitions, validating metrics, and enabling self-service analytics; the role emphasizes scalable reporting, Data Warehouse design in Databricks, and strong

Qualifications

  • 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 analytics and BI development using Power BI, Tableau 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.
  • Experience in analytics for Supply Chain Planning in chips, boards and systems manufacturing.
  • Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across teams.

Responsibilities

  • Define reporting requirements and document business workflows including pain points and resolutions.
  • Craft detailed user stories with acceptance criteria and solutions.
  • Design and maintain dashboards, datasets, and semantic layers to support planning and control towers.
  • Partner with data engineers to use data lake sources for reports and benchmarks.
  • Validate data accuracy and enable self-service reporting tooling.
  • Test delivered data assets against source systems and ensure data quality.
  • Present designs and solutions to teammates for review and implementation.

Skills

Power BI
Tableau
Databricks
SQL
Python
Data modeling
Data warehouse
S/4HANA
SAP data

Education

Bachelor's degree

Tools

Power BI
Tableau
Databricks
SQL
Python
SAP (S/4HANA/ECC/BW)

Job description

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.

NVIDIA pioneered accelerated computing.

Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.

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