Senior Technical Data Analyst - Operations E2E Data Intelligent Systems at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Supply Chain, ManufacturingIndustries

Requirements

BS, MS, or PhD in EE/CS or related field (or equivalent experience)
5+ years of programming experience (Python, PySpark, SQL, etc.)
5+ years of experience with big data technologies and cloud platforms (AWS, Databricks, Snowflake)
12+ overall years in Data Warehousing, implementing projects with data Lakehouse solutions
Experience with enterprise BI databases like SAP BW/HANA, ERP/CRM systems like SAP/Salesforce, planning applications like IBP, APO etc
Knowledge of operational processes in chips, boards, systems, and networking
Proficiency in Tableau, PowerBI, and SAP reporting applications

Responsibilities

Design intuitive data models and semantic layers to enable self-service and AI apps reducing ad-hoc query friction for business users
Enrich data products with business glossary and metadata to reduce AI hallucinations, improve user adoption, searchability and governance
Lead multi-site integrations across new manufacturing plants and ops applications standardizing schemas and controls; enabling cross-plant insights
Engineer scalable pipelines with data integrity functions and audit features. Automate measuring and monitoring data quality for improved decision making
Explain the data designs, system changes, enhancements, address any questions or issues effectively to the stakeholders
Partner with stakeholders, solve business problems, train users, help with data and queries
Optimize Lakehouse systems to deliver high performing solutions while controlling operational costs

Skills

SQL

Python

PySpark

Databricks

Lakehouse

Data Pipelines

Data Modeling

Semantic Layers

Data Governance

Data Quality

Metadata Management

ETL

AI Analytics

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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