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Jmp Data Analytics Jobs in Texas (NOW HIRING)

Metallurgist

Dallas, TX · On-site

$82.10K - $100.90K/yr

Experience with statistical process control and data analysis tools (Minitab, JMP, or equivalent). * Strong cross-functional communicator with the ability to work effectively in a fast-paced, mission ...

Metallurgist

Dallas, TX · On-site

$82.10K - $100.90K/yr

Experience with statistical process control and data analysis tools (Minitab, JMP, or equivalent). * Strong cross-functional communicator with the ability to work effectively in a fast-paced, mission ...

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Jmp Data Analytics information

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.

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 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 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.

What cities in Texas are hiring for Jmp Data Analytics jobs? Cities in Texas with the most Jmp Data Analytics job openings:
Infographic showing various Jmp Data Analytics job openings in Texas as of May 2026, with employment types broken down into 9% As Needed, and 91% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Other

Posted 13 days ago


Job description

Job description:

The Photomask Inspection Process and/or Equipment Engineer will serve as a key technical contributor supporting KLA(6XX, 5XX, SLF, and 3XX) mask inspection Systems for photomask manufacturing. As part of the Inspection engineering team, this role is responsible for daily process sustaining, defining equipment PMs/needs, new tool qualification, and process development to optimize process performance. The engineer will work closely with operations and technical development teams to ensure robust process integration and to continuously improve yield, cycle time, and overall product quality.

Education/Experience Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Chemical Engineering, Mechanical Engineering, Physics, Chemistry, or a related engineering discipline preferred.
  • 3+ years of Inspection Process or Equipment Engineering experience in highvolume semiconductor manufacturing preferred.
  • Strong understanding of Semiconductor Inspection principles
  • Strong troubleshooting capability, including rootcause analysis (5 Whys, ModelBased Problem Solving) and implementation of corrective and preventive actions (8D).
  • Experience in process development and continuous improvement methodologies, such as DOE, statistical data analysis, recipe management, SPC, and OCAP creation.
  • Lean 6-sigma Green/Black Belt preferred
  • Demonstrated success in defectreduction and yieldimprovement initiatives.
  • Handson tool ownership experience, including equipment troubleshooting, preventive maintenance optimization, FMEA, and FDC utilization.
  • Proficient in data analysis using tools such as JMP and Excel, with basic scripting or coding skills (VBA, C++, Python, SQL).
  • Familiarity with project management tools (e.g., Gantt charts) and the ability to manage multiple priorities simultaneously.
  • Excellent verbal and written communication skills, with the ability to interface effectively with personnel at all organizational levels-from equipment operators to senior leadership.
  • A selfstarter with strong attention to detail, solid organizational skills, and a collaborative mindset.