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Jmp Data Analytics Jobs in Texas (NOW HIRING)

Process Engineer

Sherman, TX · On-site

$90 - $120/hr

Experience using data analysis tools such as Excel, JMP, Python, SQL, or MATLAB * Excellent written and verbal communication skills * Ability to work onsite in Sherman, Texas Preferred Qualifications

Experience using data analysis tools such as Excel, JMP, Python, SQL, or MATLAB * Excellent written and verbal communication skills * Ability to work onsite in Sherman, Texas Preferred Qualifications

Metallurgist

Dallas, TX · On-site

$80 - $100/hr

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 ...

Device Engineer

Taylor, TX · On-site

$106K - $174K/yr

Data Science & Modeling * Apply statistical analysis, machine learning, and predictive modeling to yield datasets. * Develop automated analytics pipelines (Python, JMP, SQL). * Develop and maintain ...

Reliability Engineer

Sherman, TX · On-site

$88K - $111K/yr

Analyze accelerated stress data to determine acceleration factors, lifetime projections, FIT, reliability confidence intervals * Perform statistical analysis using JMP, Excel, SQL, or similar tools ...

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.

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 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.

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 August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Center - MLB Reliability Engineer

Apple Inc.

Austin, TX • On-site

$150 - $190/hr

Other

Re-posted yesterday


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

At Apple, we don't just follow industry standards - we define them. We value creative problem-solving and the ability to adapt to new technical challenges. In this role, you will collaborate with diverse hardware teams to ensure our data center infrastructure is not only durable, but built to exceed expectations. From early concepts to field optimization, you will drive innovative reliability strategies and continuous improvement to shape the future of the critical systems powering our global services.

Description

The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next-generation Data Center motherboards. In this role, you will bridge the gap between component-level and package level physics of failures and system-level availability. You will drive SoC and board integration reliability through rigorous stress testing and physics-of-failure analysis, utilizing advanced statistical modeling to ensure these critical modules meet the uptime and availability requirements of a high-demand data center environment

Responsibilities
  • Lead the board-level reliability strategy for high-performance computing (HPC) motherboards and server systems.
  • Utilize Design and Process FMEA to identify, categorize, and eliminate failure modes early in the design cycle.
  • Apply physics-of-failure principles to analyze semiconductor packages, Second Level Interconnects (SLI), and PCB materials.
  • Develop advanced reliability models such as Reliability Block Diagrams (RBDs), Markov Chains, and Bayesian analysis to quantify board-level risk and its contribution to overall system availability.
  • Translate Reliability, Availability, and Serviceability (RAS) metrics for large-scale data center deployments into actionable board-level design targets and validation criteria.
  • Design and execute comprehensive test plans including Mechanical Stress, Environmental Testing, and Accelerated Life Testing (ALT).
  • Drive rigorous Root Cause Analysis (RCA) and perform statistical analysis to assess design maturity.
  • Work with cross-functional teams to translate system-level availability requirements into component specifications.
Minimum Qualifications
  • BS in Materials Science, Electrical, Mechanical Engineering or an equivalent field desired with 5+ years of experience.
  • Proficiency in statistical life data analysis
  • Strong knowledge of Semiconductor package integration, SLI reliability, passive components, PCB reliability, bonding materials, and warpage control.
  • Ability to apply FMEA (Failure Modes and Effects Analysis) methodologies.
  • Excellent written and verbal communication skills with the ability to explain complex statistical concepts to non-experts.
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
Preferred Qualifications
  • MS or PhD in Reliability Engineering, Systems Engineering, Electrical Engineering, Materials Science, or an equivalent field..
  • Background in reliability for large-die packages, heterogeneous integration, and high-power server motherboards.
  • Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures.
  • Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting languages for statistical modeling like Python, R, or MATLAB.
  • A record of initiating innovation and continuous improvement in reliability methodologies.
  • Dynamic and "can-do" attitude with a desire to work with a great team and product.
  • Exceptional problem-solving abilities and strong attention to detail.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple's workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976