Data Analyst Jobs in Santa Clara, CA
Data Analyst jobs in Santa Clara are concentrated in Silicon Valley's core technology corridor, with strong demand from semiconductor firms, cloud infrastructure companies, and enterprise software leaders clustered along the Central Expressway and in the Mission City Center area. Employers hiring right now include NVIDIA, AMD, and CoreSite. Scan the live roles below and apply to whichever ones fit.
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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 an inclusive, 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.
Are you ready to develop the future of computing? At NVIDIA, we are leading in AI and accelerated computing, and we are looking for a Senior Data Analyst to join our DGX Data team. Located in Santa Clara, CA, this role offers an outstanding opportunity to work with innovative technology and be part of a highly skilled team. If you are ambitious and thrive in a collaborative environment, this could be the perfect fit for you!
What you'll be doing:
- Build and maintain analytical models for capacity demand, supply, utilization, allocation, and operational performance across DGX Cloud.
- Develop forecasts and scenario analyses to support business planning, infrastructure readiness, and leadership decision-making.
- Translate ambiguous business questions into structured analyses, datasets, dashboards, and recommendations.
- Developing and implementing data-driven strategies to optimize prioritization and drive flawless execution of projects.
- Collaborating with cross-functional teams to identify and resolve supply chain issues.
- Present findings and recommendations to cross-functional stakeholders, including senior leaders.
- Crafting and maintaining dashboards and reports to track key performance indicators. Applying advanced analytical techniques to forecast demand and supply trends.
What we need to see:
- Bachelor's degree in Engineering, Data Science, or a related field, or equivalent experience.
- Minimum of 8 years of experience in data analysis, preferably within supply chain or capacity planning roles.
- Proven ability to successfully implement data-driven strategies and solutions.
- Outstanding analytical and problem-solving skills.
- Proficiency in SQL, Python, and data visualization tools such as Tableau.
- Strong communication skills, with the ability to present complex data insights to collaborators. Diligent and highly organized, with a strict focus on accuracy.
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Ways to stand out from the crowd:
- Advanced degree or equivalent experience in a relevant field.
- Experience working in a fast-paced, high-tech environment.
- Understanding of AI and machine learning applications.
- Proven track record of leading data analysis projects to completion. Strong project management skills.
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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 128,000 USD - 212,750 USD.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.See All 369+ Data Analyst Jobs in Santa Clara
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Who's Hiring
- NVIDIA142

- AMD85

- CoreSite28

- ServiceNow28

- Coherent28

Data Analyst Jobs in Santa Clara: Frequently Asked Questions
How do I get a data analyst job in Santa Clara?
Focus your search on Santa Clara's dominant sectors: semiconductor design, cloud infrastructure, enterprise SaaS, and sports and entertainment technology anchored by Levi's Stadium. Roles cluster along the Central Expressway corridor and in the Mission City Center district. Candidates with SQL proficiency, Python, and experience with large-scale product or operations data stand out here, and familiarity with the tooling common in hardware or cloud environments gives a real edge over generalist applicants.
Which companies hire data analysts in Santa Clara?
Santa Clara data analyst roles are posted by NVIDIA, AMD, and CoreSite and others right now, based on current listings on Migrate Mate as of November 2026. The city's employer base skews heavily toward global technology companies, chip manufacturers, and cloud platform providers, meaning most openings come from large enterprises or their well-funded subsidiary divisions rather than early-stage startups.
Are there remote data analyst jobs in Santa Clara?
Yes, data analyst work is well suited to remote arrangements because the core tasks, querying databases, building dashboards, and presenting findings, require a laptop and secure access rather than physical presence. About 100% of data analyst openings tied to Santa Clara are remote or hybrid as of November 2026, reflecting how analytically driven the local employer base is. Roles tied to hardware product lines or on-site operations teams tend to require more in-office days than those supporting cloud or enterprise software functions.
How can I get a data analyst job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is landing an analyst, reporting, or business intelligence associate role inside one of the city's larger technology or semiconductor companies, which often run formal new-grad programs. Targeting operations, supply chain analytics, or go-to-market data teams lowers the experience bar compared to core product analytics. Building a portfolio with SQL projects and a working Tableau or Power BI dashboard tailored to tech or hardware use cases makes applications to Santa Clara employers noticeably stronger.
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