Senior Business Intelligence Analyst

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 a diverse, 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.

NVIDIA Israel IT Business Intelligence team is seeking a Senior Business Intelligence Analyst to join our team. We are in search of an individual with exceptional analytical skills and a profound understanding of information systems architecture. If you are highly motivated and seeking a place to make a significant impact with your career, we encourage you to explore this opportunity.

What you'll be doing:

Owning the architectural build of sophisticated, scalable data solutions for enterprise-level environments

Evaluating and implementing sophisticated technologies to drive innovation and improve interpersonal analytical capabilities

Developing end-to-end Business Intelligence solutions, from requirements capturing to delivery, which includes requirements definition, modeling, data warehousing, data products development, and crafting analytics in visualization applications.

Collaborating closely with internal business and IT partners globally to analyze sophisticated business problems and provide effective data-driven solutions.

Providing visualization solutions using tools such as Tableau, Power BI, and other in-house developed tools.

Designing and maintaining data models, ensuring data accuracy and consistency across the organization.

Crafting and optimizing ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.

What we need to see:

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.

A minimum of 10+ years of consistent experience in implementing full-cycle business intelligence projects, including requirements gathering, data warehousing, data products development and crafting analytics in visualization applications.

Expert-level knowledge of SQL with the ability to write sophisticated queries and stored procedures efficiently.

Hands-on experience with at least one of the visualization tools like Tableau or Power BI.

Experience with cloud data platforms such as Snowflake or Databricks

A portfolio of successful data products projects or case studies.

Excellent written and verbal English language skills.

Ways to stand out from the crowd:

Hands-on experience with Python and PySpark for large-scale data processing, including experience with distributed computing and data transformation pipelines

Experience with LLMs, embeddings, vector databases or RAG workflows, implementation of AI solutions / algorithms for sophisticated data analysis – an advantage

A proven track record of crafting sophisticated data architectures and successfully implementing new technologies

Proficiency in Jira.

Functional knowledge of PMO domains.