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Jmp Data Analytics Jobs in California (NOW HIRING)

... Data Analytics. * Current overall GPA of at least 2.8 on a 4.0 scale. Preferred Qualifications ... Proficiency with Microsoft Excel, Power BI, Minitab, JMP, or other analytical and visualization ...

Field Quality Engineer

Mountain View, CA · Hybrid

$84K - $109K/yr

Advanced experience with statistical modeling and large-scale data analysis tools (e.g., Tableau, JMP, PLX). * Deep understanding of hardware/software interactions, embedded systems, and diagnostics.

Experience analyzing and visualizing bioassay data using software tools such as Excel, Prism, JMP, or equivalent statistical/data analysis platforms * Experience designing and supporting analytical ...

Staff Reliability Engineer

San Jose, CA · On-site

$120K - $151K/yr

Organize data input into Excel and JMP statistical analysis package to complete critical reliability analyses. * Work with Service, Operations, Quality Engineering and Product Development to ...

Staff Reliability Engineer

San Jose, CA · On-site

$120K - $151K/yr

Organize data input into Excel and JMP statistical analysis package to complete critical reliability analyses. * Work with Service, Operations, Quality Engineering and Product Development to ...

Familiarity with data analytics tools such as JMP and Silicon Dash * Strong schedule management and optimization skills (interest in process automation is a plus) * Solid background in test ...

Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab ... Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop ...

Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab ... Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop ...

Familiarity with data analysis software like Prism or JMP (preferred).Master's or Bachelor's degree with 2+ years' experience in pharmaceutical sciences, bioengineering, chemical engineering ...

Perform basic data analysis (e.g. Excel, JMP). Coordinate the analysis of studies with biostatistics and bioinformatics teams * Provide regular updates at project team and departmental meetings on ...

Showing results 21-40

Jmp Data Analytics information

What is JMP Data Analytics?

JMP Data Analytics refers to the use of the JMP software platform for statistical analysis and data visualization. JMP, developed by SAS, is widely used by scientists, engineers, and analysts to explore, analyze, and visualize data interactively. It offers tools for data cleaning, statistical modeling, and advanced analytics without requiring extensive programming knowledge. JMP is especially popular in industries such as pharmaceuticals, manufacturing, and research for its user-friendly interface and robust statistical capabilities.

What are the key skills and qualifications needed to thrive as a JMP Data Analytics professional, and why are they important?

To thrive as a JMP Data Analytics professional, you need a solid background in statistics, data analysis, and problem-solving, often supported by a degree in a quantitative field. Proficiency with JMP software, along with familiarity with data visualization, scripting, and potentially certifications such as JMP Certified Specialist, is highly valuable. Strong communication, critical thinking, and attention to detail help you interpret results and present actionable insights effectively. These skills and qualifications are essential for transforming complex data into clear, impactful business decisions.

What is the difference between Jmp Data Analytics vs Data Analyst?

AspectJmp Data AnalyticsData Analyst
Required SkillsProficiency in JMP software, data visualization, statistical analysisData manipulation, statistical tools, Excel, SQL
Work EnvironmentResearch labs, analytics firms, industries using JMPBusiness, finance, healthcare, various industries
CertificationsJMP certification, data analysis certificationsCertified Analytics Professional, Microsoft Excel certifications

Jmp Data Analytics professionals focus on using JMP software for statistical analysis and data visualization, often within research or specialized analytics environments. Data Analysts typically work across various industries, utilizing a broader set of tools like Excel and SQL. While both roles require strong analytical skills, Jmp Data Analytics roles emphasize JMP proficiency, whereas Data Analysts may have more diverse technical toolsets.

How does a JMP Data Analytics professional typically collaborate with other departments within an organization?

JMP Data Analytics professionals often work closely with teams across the organization, including engineering, quality assurance, product development, and operations. They support these teams by analyzing complex data sets, creating visualizations, and providing actionable insights to guide decision-making. Effective communication and an ability to translate technical findings into clear, business-relevant recommendations are essential. Regular cross-functional meetings and collaborative projects are common, fostering a dynamic work environment where analytical expertise directly impacts company performance.
What are popular job titles related to Jmp Data Analytics jobs in California? For Jmp Data Analytics jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Jmp Data Analytics jobs? Cities in California with the most Jmp Data Analytics job openings:

Senior Field Applications Engineer

PDF Solutions

Santa Clara, CA • On-site

$130K - $170K/yr

Full-time

Re-posted 11 days ago


Job description

Overview

PDF Solutions Inc. is seeking a highly driven Applications Engineer to join our HQ-based engineering team supporting PDF’s advanced e-beam inspection platform. This role plays a critical part in enabling yield enhancement for leading-edge 300mm semiconductor manufacturing.

The ideal candidate is a self-driven and detail-oriented engineer with strong analytical and communication skills, comfortable working in a fast-paced, cross-functional environment. This role provides opportunities to grow technically, contribute to product development, and take on leadership responsibilities.

We welcome experienced professionals as well as recent PhD graduates.


Responsibilities
  • Develop, optimize, and standardize inspection recipes for PDF’s e-beam inspection systems.
  • Drive wafer inspection strategies and perform advanced data analysis to identify and reduce yield loss in cutting-edge semiconductor technologies.
  • Lead experimental studies and contribute to R&D initiatives to improve inspection methodologies, leveraging data-driven insights.
  • Collaborate closely with cross-functional teams (Systems, Applications, Software) to resolve technical challenges and drive product enhancements.
  • Take ownership of complex engineering programs, contributing to process improvements, automation, and best practices.
  • Mentor junior engineers and contribute to knowledge sharing, fostering a culture of continuous improvement and technical excellence.

Qualifications
  • Master’s degree in Physics, Materials Science, Computer Science or a related field
  • Strong analytical and problem-solving skills with experience in data analysis
  • Programming experience (Python preferred)

 

Preferred

  • PhD in a relevant field or equivalent industry experience
  • Proficiency in statistical and data analysis tools such as Python (NumPy/Pandas), JMP, MATLAB, or Tableau.
  • Experience with semiconductor inspection tools (e-beam, optical, voltage-contrast, or spectroscopy).
  • Experience leading projects with an interest in developing toward a technical leadership or management role.

Pay Range
USD $130,000.00 - USD $170,000.00 /Yr.Qualifications:
  • Master’s degree in Physics, Materials Science, Computer Science or a related field
  • Strong analytical and problem-solving skills with experience in data analysis
  • Programming experience (Python preferred)

 

Preferred

  • PhD in a relevant field or equivalent industry experience
  • Proficiency in statistical and data analysis tools such as Python (NumPy/Pandas), JMP, MATLAB, or Tableau.
  • Experience with semiconductor inspection tools (e-beam, optical, voltage-contrast, or spectroscopy).
  • Experience leading projects with an interest in developing toward a technical leadership or management role.
Education:UNAVAILABLEEmployment Type: FULL_TIME