We are looking for a Capacity Operations Manager to help lead efforts with large-scale computing ... Analyze the technical and business needs for GPU capacity and other compute resources from various ...
We are looking for a Capacity Operations Manager to help lead efforts with large-scale computing ... Analyze the technical and business needs for GPU capacity and other compute resources from various ...
Marketing Analytics Manager
Irvine, CA · On-site
... and operational audiences. • Support marketing investment decisions, lifecycle strategy, and ... M analytics. • Experience with Salesforce and Adobe technology stacks. • Experience with ...
Marketing Analytics Manager
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... and operational audiences. • Support marketing investment decisions, lifecycle strategy, and ... M analytics. • Experience with Salesforce and Adobe technology stacks. • Experience with ...
We are looking for a Capacity Operations Manager to help lead efforts with large-scale computing ... Analyze the technical and business needs for GPU capacity and other compute resources from various ...
We are looking for a Capacity Operations Manager to help lead efforts with large-scale computing ... Analyze the technical and business needs for GPU capacity and other compute resources from various ...
The areas of focus include originations, portfolio management strategy/criteria design, vintage analysis, portfolio segmentation, operations strategy, demographic analysis, collections performance ...
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Senior Compensation & Analytics Manager
San Francisco, CA · On-site
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Senior Compensation & Analytics Manager
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Web Analytics Manager Duration: 1 year with possible extensions Location: Foster City, CA The Web ... Operations teams Ensure data quality and integrity for key audiences within marketing, sales and ...
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... operational performance. Team Management & Development * Lead and manage a Senior Data Analyst and ... BI Analyst, setting clear expectations, priorities, and accountability. * Establish team standards ...
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Quick apply
Independently manage projects, handling client communications, meeting facilitation, and timelines ... Sales Operations, Commercial Analytics, and BI/Reporting. * Knowledge of coding languages (SAS ...
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Independently manage projects, handling client communications, meeting facilitation, and timelines ... Sales Operations, Commercial Analytics, and BI/Reporting. * Knowledge of coding languages (SAS ...
Quick apply
Independently manage projects, handling client communications, meeting facilitation, and timelines ... Sales Operations, Commercial Analytics, and BI/Reporting. * Knowledge of coding languages (SAS ...
... operational performance. Team Management & Development * Lead and manage a Senior Data Analyst and ... BI Analyst, setting clear expectations, priorities, and accountability. * Establish team standards ...
... operational performance. Team Management & Development * Lead and manage a Senior Data Analyst and ... BI Analyst, setting clear expectations, priorities, and accountability. * Establish team standards ...
Independently manage projects, handling client communications, meeting facilitation, and timelines ... Sales Operations, Commercial Analytics, and BI/Reporting. * Knowledge of coding languages (SAS ...
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Build visualizations and dashboards to support Product Quality team operations. Priority Three - 20% * Manage analytics platforms, dashboards, and reporting strategies to support operational decision ...
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Collaborates with organizational stakeholders within Commercial Analytics and Operations and cross ... Manages the development of the insights budget and manages all approved budgets. Serves as a ...
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San Diego, CA · On-site
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Operations Analytics Manager information
See California salary details
$30.6K - $38.4K
20% of jobs
$40.4K is the 25th percentile. Wages below this are outliers.
$38.4K - $46.3K
20% of jobs
The median wage is $52K / yr.
$46.3K - $54.1K
14% of jobs
$54.1K - $62K
9% of jobs
$62K - $69.8K
11% of jobs
$71.5K is the 75th percentile. Wages above this are outliers.
$69.8K - $77.7K
6% of jobs
$77.7K - $85.5K
6% of jobs
$85.5K - $93.4K
4% of jobs
$93.4K - $101.2K
3% of jobs
$101.2K - $109.1K
2% of jobs
$109.1K - $116.9K
4% of jobs
$30.6K
$62.6K
$116.9K
How much do operations analytics manager jobs pay per year?
How does an Operations Analytics Manager typically collaborate with cross-functional teams in a company?
What is the difference between Operations Analytics Manager vs Data Analyst?
| Aspect | Operations Analytics Manager | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master’s in Business, Analytics, or related field; often prefers experience in operations | Bachelor's in Statistics, Mathematics, or related field; certifications like SQL or Tableau are common |
| Work Environment | Leads teams in operational settings, collaborates with management, focuses on process improvement | Analyzes data sets, creates reports, supports decision-making across departments |
| Employer & Industry Usage | Used in logistics, manufacturing, retail, and supply chain companies | Common across finance, marketing, healthcare, and tech industries |
The Operations Analytics Manager focuses on leading teams to optimize operational processes using analytics, while Data Analysts primarily interpret data to support decision-making. Both roles require strong analytical skills, but the manager role involves leadership and strategic planning in operational contexts.
What are the key skills and qualifications needed to thrive as an Operations Analytics Manager, and why are they important?
What does an Operations Analytics Manager do?
Full-time
Posted 12 days ago
Job description
We are looking for a Capacity Operations Manager to help lead efforts with large-scale computing operations and planning.
What you will be doing:
- Manage and optimize GPU capacity and other compute resources across various cloud service providers to meet growing demands and ensure efficient utilization.
- Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support NVIDIA Infrastructure governance programs and strategic capacity decisions.
- Analyze the technical and business needs for GPU capacity and other compute resources from various internal and external teams.
- Identify performance bottlenecks in day-to-day usage of compute resources and collaborate with relevant infrastructure teams to resolve them.
- Drive infrastructure resource efficiency initiatives in partnership with engineering, finance, and product teams.
- Develop and enhance tooling for our cloud infrastructure and analytics platform to optimize resource usage and performance for NVIDIA and its customers. This includes crafting and developing tools for automating workflows and potentially leveraging AI techniques to extract useful signals and insights from generated data.
- Partner and cross-collaborate with Finance, Product, Service Owners, and Infrastructure Engineering teams to align cloud capacity management with company goals and develop Infrastructure and Service Level Key Performance Indicators (KPIs) to match Customer satisfaction.
- Lead multi-year budget-based compute resource planning with engineering.
What we need to see:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience), and 10+ years of overall experience in cloud computing, specifically in managing or sourcing GPU capacity with cloud service providers. A proven track record of large-scale computing operations and planning is a plus.
- Strong technical proficiency in cloud architecture, development and deployment, and managing large data sets.
- Deep understanding of cloud service models (IaaS, PaaS, SaaS) and cloud infrastructure technologies. Experience with Cloud Service Providers such as AWS, Azure, GCP, and OCI is required.
- Demonstrated experience in employing AI tools and techniques to extract useful signals and insights from data, specifically to improve resource usage and automation
- Strong understanding and practical application of statistical modeling and machine learning methodologies for improving operational efficiency and informing strategic capacity decisions
- Proficiency with data analytics, visualization, and monitoring tools such as Kibana, Grafana, Splunk, Prometheus, Tableau, Plotly.
- Knowledge of analytics, statistical modeling, and machine learning methodologies.
- Ability to operate effectively amidst uncertainty and rapidly changing business conditions, with an agile mindset and a commitment to ongoing improvement.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered one of the technology world's most desirable employers. Some of the world's most forward-thinking and hardworking people are working for us. If you're creative and autonomous, we want to hear 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 168,000 USD - 270,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 1, 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.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. 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.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993