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NVIDIA

Designs the chips and software that power AI

Senior Business Intelligence Analyst

Business IntelligenceConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
  • At least 10 years of consistent experience implementing full-cycle business intelligence projects, including requirements gathering, modeling, data warehousing, data development, and creating analytics in visualization applications.
  • Expert-level knowledge of SQL and the ability to write complex queries and stored procedures efficiently.
  • Hands-on experience with at least one visualization tool, such as Tableau or Power BI.
  • Experience with cloud data platforms such as Snowflake or Databricks.
  • A portfolio of successful Business Intelligence projects or case studies.
  • Excellent written and verbal English language skills.

Responsibilities

  • Lead the architectural design of complex, scalable data solutions for enterprise-level environments.
  • Evaluate and implement advanced technologies to drive innovation and enhance organizational analytical capabilities.
  • Develop end-to-end Business Intelligence solutions, from requirements gathering to delivery, including requirements definition, modeling, data warehousing, data development, and creating analytics in visualization applications.
  • Collaborate with internal business and IT partners globally to analyze complex business problems and provide effective data-driven solutions.
  • Provide visualization solutions using tools such as Tableau, Power BI, and other in-house developed tools.
  • Design and maintain data models, ensuring data accuracy and consistency across the organization.
  • Create and optimize ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.

Desired Qualifications

  • Functional knowledge of Operations and Supply Chain domains.
  • Hands-on experience with Python and PySpark for large-scale data processing, including distributed computing and data transformation pipelines.
  • Experience with LLMs, embeddings, vector databases, or RAG workflows, and implementation of AI solutions or algorithms for advanced data analysis.
  • A proven track record of designing complex data architectures and successfully implementing new technologies.
  • Proficiency in Jira.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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