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לפני 14 שעות
Location: Yokne`am
Job Type: Full Time
Join NVIDIA's outstanding team and contribute to our legacy of innovation in the Senior Quality Data Analyst Engineer role! At NVIDIA, we are dedicated to pushing the boundaries of pioneering technology. The Senior Data Analyst Engineer will lead advanced data analysis and optimization for networking products in mass production. The successful candidate will leverage technical expertise and manufacturing experience to deliver actionable insights from complex datasets.

What you'll be doing:

Develop automated dashboards, KPIs, and reports to monitor production health, yield, test results, quality trends and customers satisfaction indicators

Identify and drive root cause analysis of anomalies or degradations in key metrics (yield loss, reliability issues, field returns, customers complaints).

Collaborate with cross-functional teams in different time zones (such as Manufacturing, Test Engineering, R&D, Quality and Sales).
Requirements:
What we need to see:

Bachelors or masters degree in data science, Electrical Engineering, Industrial Engineering, Computer Science, or related field or equivalent experience.

8+ years of experience in a data analytics role, preferably in a high-volume electronics hardware environment.

5+ years proven experience in data collection and statistical analysis for high-volume products datasets.

Proficiency in big data platforms, and statistical analysis tools; skilled in data visualization (e.g., Power BI).

Ways to stand out from the crowd:

Proven experience with AI-driven tools, LLMs and machine learning.

Strong integration capabilities.

Ability to operate independently and influence cross-functional teams without direct authority.

Results-oriented, organized, and detail-driven.
This position is open to all candidates.
 
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לפני 12 שעות
Location: Yokne`am
Job Type: Full Time
Our 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.
Requirements:
What we need to see:

Bachelors 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.
This position is open to all candidates.
 
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