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Jmp Data Analytics Jobs (NOW HIRING)

psudo

Identify new internal and external data sources to support analytics initiatives and work with ... Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing ...

Coherent

Technician, Line Yield

Sherman, TX · On-site

$15.50 - $19.50/hr

JMP data analysis experience is a plus Working Conditions * Normal office or cleanroom working conditions Physical Requirements * Must be able to sit/stand continuously for up to 2 hours at a time

II-VI Aerospace & Defense

Technician, Line Yield

Sherman, TX · On-site

$15.50 - $19.50/hr

JMP data analysis experience is a plus Working Conditions * Normal office or cleanroom working conditions Physical Requirements * Must be able to sit/stand continuously for up to 2 hours at a time

Howmet Aerospace

Data Scientist

Whitehall, MI

SQL, SAS, Minitab, JMP, MS Excel, Six Sigma * In depth knowledge of advanced analytics techniques ... As a data scientist you will be working on a cross-functional team environment supporting Howmet ...

Home Depot

Sr. Data Analyst - Supply Chain

Atlanta, GA · On-site

$81K - $103K/yr

Key Responsibilities: * 30% Leverages data analytics tools to create new dashboards, reports, and ... Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.) * Prior direct experience in analyzing the ...

Coherent Corp.

Technician, Line Yield

Sherman, TX · On-site

$15.50 - $19.50/hr

JMP data analysis experience is a plus Working Conditions * Normal office or cleanroom working conditions Physical Requirements * Must be able to sit/stand continuously for up to 2 hours at a time

II-VI Incorporated

Technician, Line Yield

Sherman, TX

$15.50 - $19.50/hr

JMP data analysis experience is a plus Working Conditions * Normal office or cleanroom working conditions Physical Requirements * Must be able to sit/stand continuously for up to 2 hours at a time

Renesas Electronics

Staff Test Engineer

Palm Bay, FL · On-site

Understanding of basic statistics and JMP data analytics skills (i.e. Mean, Std. Dev, SPC, CPK, GR&R, ANOVA) * Familiarity with Gage Reproducibility and Repeatability (GR&R) studies * Familiarity ...

Renesas Electronics

Staff Test Engineer

Palm Bay, FL · On-site

Understanding of basic statistics and JMP data analytics skills (i.e. Mean, Std. Dev, SPC, CPK, GR&R, ANOVA) * Familiarity with Gage Reproducibility and Repeatability (GR&R) studies * Familiarity ...

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Jmp Data Analytics information

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$44.5K

$129.7K

$177.5K

How much do jmp data analytics jobs pay per year?

As of Jul 22, 2026, the average yearly pay for jmp data analytics in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 JMP for data analysis?

JMP is a statistical software used in data analysis and visualization, often employed by data analysts and statisticians to explore, model, and interpret data. It offers tools for descriptive statistics, regression, and predictive modeling, supporting data-driven decision-making. Proficiency in JMP can enhance analytical workflows and insights.

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.

Is JMP a part of SAS?

JMP is a statistical software suite developed by SAS Institute, and it is considered a part of SAS's product offerings. Many data analysts and statisticians use JMP alongside other SAS tools for data visualization and analysis. Knowledge of SAS and JMP can be valuable for data analytics roles like JMP Data Analytics.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Managers, Chief Data Officers, and Analytics Directors, who oversee teams and strategic initiatives. These positions often require advanced skills in machine learning, big data tools, and leadership, with salaries reaching six figures or higher depending on experience and industry.

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.

Is 40 too late for data science?

For a Jmp Data Analytics professional, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, data visualization, and programming can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.
More about Jmp Data Analytics jobs
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What job categories do people searching Jmp Data Analytics jobs look for? The top searched job categories for Jmp Data Analytics jobs are:
Jmp Data Analytics jobs near you
Infographic showing various Jmp Data Analytics job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, 2% Part Time, and 20% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Analyst / Data Scientist

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Re-posted 20 days ago

Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME

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