Senior Business Intelligence Analyst
NVIDIA is hiring a Senior Business Intelligence Analyst. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this data analyst role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks, Tableau and Power BI.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Lead architectural design of complex, scalable enterprise data solutions and business intelligence applications.
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 Staff BI 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:
Leading the architectural design of complex, scalable data solutions for enterprise-level environments
Evaluating and implementing advanced technologies to drive innovation and enhance organizational analytical capabilities
Developing end-to-end Business Intelligence solutions, from requirements gathering to delivery, which includes requirements definition, modeling, data warehousing, data development, and creating analytics in visualization applications.
Collaborating closely with internal business and IT partners globally to analyze complex 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.
Creating 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, modeling, data warehousing, data development and creating analytics in visualization applications.
Expert-level knowledge of SQL with the ability to write complex 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 Business Intelligence projects or case studies.
Excellent written and verbal English language skills.
Ways to stand out from the crowd:
Functional knowledge of Operations and Supply Chain domains.
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 advanced data analysis – an advantage
A proven track record of designing complex data architectures and successfully implementing new technologies
Proficiency in Jira.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
How we rate this
Senior Business Intelligence Analyst at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $114k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data warehousing was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Business Intelligence, Data Warehousing, ETL, and Data Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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