Data Analytics Manager Jobs in Santa Clara, CA
Data Analytics Manager jobs in Santa Clara are concentrated in the Central Expressway corridor, the Lawrence Expressway tech belt, and the Mission College area, with demand running strongest in semiconductor, enterprise software, and cloud infrastructure sectors. Employers hiring right now include NVIDIA, AMD, and CoreSite. See the openings below and apply to the ones that match your experience.
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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 370+ Data Analytics Manager Jobs in Santa Clara
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Who's Hiring
- NVIDIA142

- AMD85

- CoreSite28

- ServiceNow28

- Coherent28

Data Analytics Manager Jobs in Santa Clara: Frequently Asked Questions
How do I get a data analytics manager job in Santa Clara?
Focus your search on Santa Clara's semiconductor firms, enterprise software companies, and cloud platform providers, which concentrate along Central Expressway and the Lawrence Expressway corridor. Candidates with experience managing analytics pipelines, leading cross-functional teams, and presenting data-driven recommendations to product or engineering stakeholders stand out here. Familiarity with the tools common in chip design or SaaS environments, such as SQL-heavy data warehouses and BI platforms, gives applicants a real edge in Santa Clara specifically.
Which companies hire data analytics managers in Santa Clara?
Santa Clara data analytics manager roles are posted by NVIDIA, AMD, and CoreSite and others right now, based on current listings on Migrate Mate as of November 2026. Santa Clara's employer mix skews heavily toward large technology companies, chipmakers, and global enterprise software firms with substantial analytics teams embedded in product, operations, and go-to-market functions.
Are there remote data analytics manager jobs in Santa Clara?
Yes, though availability varies since analytics manager roles often involve regular collaboration with local engineering and product teams. About 100% of data analytics manager openings tied to Santa Clara are remote or hybrid as of November 2026, with most flexibility found in the strategy and reporting layers of the role rather than the hands-on data infrastructure work that tends to require on-site presence.
How can I get a data analytics manager job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is moving up from a senior data analyst or analytics engineer role inside one of the city's large technology or semiconductor firms, which regularly promote from within. Entry-level candidates can also target analytics operations or business intelligence coordinator roles at Santa Clara's mid-size software companies, building leadership experience before stepping into a manager title. Strong SQL skills, familiarity with cloud data platforms, and exposure to agile product environments are the practical differentiators local hiring managers look for.
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