Senior Data Systems Analyst at NVIDIA

**Who this is for** This role is for an experienced Data Systems Analyst seeking to support initiatives within NVIDIA's Operations Data and Analytics organizati

Work type: onsite

Location: US, CA, Santa Clara

Type: Full-time

Summary

**Who this is for** This role is for an experienced Data Systems Analyst seeking to support initiatives within NVIDIA's Operations Data and Analytics organization, bridging the gap between IT, operations platforms, and business needs for Service and Quality analytics. **Key highlights** You will drive business insights, identify analytics gaps, and build technology strategies to address them. This involves collaborating with teams to develop systems for day-to-day analytics, aggregating data for insights, and interpreting data to find patterns in factory and field data. **You might be a good fit if you...** - Have 5+ years of experience in computer science or information systems, with strong SQL, Python, and data visualization tool skills. - Possess technical expertise in data models, database design, data analytics, and segmentation techniques. - Have experience with cloud environments (AWS, Azure) and tools like Databricks, Snowflake, or Splunk. - Have Supply Chain and Operations experience, particularly in Supply Planning functions.

Job Description

The NVIDIA Operations organization is seeking an experienced technology professional for the position of Data Systems Analyst to support initiatives in the Operations Data and Analytics organization. As a Data Systems Analyst in our team, you will be an integral part of the team in Operations team that will interface between IT, operations platform, and business to guide design, development and delivery of analytics solutions for Service and Quality

What you’ll be doing:

Drive business insights that help drive and grow our business. Identify business gaps in analytics solutions and recommend improvement actions

Identify challenges and opportunities in the business processes and build technology strategy and roadmaps to address them

Collaborate with teams to bridge business processes with technology by developing systems that help day-to-day analytics

Gather user feedback to improve business systems and develop new business solutions and aim for standardization with multiple data sources. Use programming skills to automate and streamline various data processes and implement monitors and alerts improving data quality.

Aggregate multiple data sets to provide insights to the users and management team and analyze information to find patterns and solutions in factory and field data

Collaborate with developers, quality assurance, operations, and business teams in multi-functional projects from requirements, definition, project planning, and testing

Develop and implement data analytics and data collection systems to improve data analysis, and Interpret data, analyze results, and support ongoing reports

Ramp up includes gaining NVIDIA Supply Planning experience by planning a set of products for a period of time

What we need to see:

Bachelor’s or Master’s degree in computer science or information systems, or equivalent experience with 5+ years of experience in relevant industry.

A strong understanding of SQL, Python, and data visualization tools like Tableau, PowerBI, etc.

Significant experience as a catalyst in building and improving enterprise-class systems

Technical expertise regarding data models, database design development, data analytics and segmentation techniques

The role requires a blend of technical, analytical, and communication skills to effectively interpret data and influence strategic decisions.

Experienced with cloud environments (AWS, Azure, etc.) and Experience in Databricks, Snowflake, Splunk, etc.

Ability to communicate optimally with business users and translate business needs into technology solutions. Ability to connect with all team members successfully and effectively.

High energy with a positive problem-solving attitude, and strong multi-tasking and interpersonal skills.

Independent and motivated individual who require little supervision and demonstrates good judgment and decision-making skills

Strong analytical skills, logical problem solver, results driven with the ability to collect, organize, and disseminate significant amounts of information accurately and at a detailed level.

Supply Chain and Operations experience is a must. Experienced in Supply Planning functions with operational processes knowledge in chips, boards, and systems.

Ways to stand out from the crowd:

APICS certification, and Planning experience in SAP IBP

Strong 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.

Data science / ML experience is a plus with a proven record of delivering analytics solutions

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we are looking forward to hearing from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 3, and 128,000 USD - 212,750 USD for Level 4.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 27, 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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