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Jmp Data Analytics Jobs in Virginia (NOW HIRING)

AERMOR LLC

Senior Operations Analyst

Norfolk, VA · On-site

Utilize operational test design software such as JMP or Design-Expert to support analysis efforts * Develop and implement automated data analysis tools using scripting in Microsoft Excel, Access, or ...

AERMOR LLC

Senior Operations Analyst

Norfolk, VA · On-site

$90K - $120K/yr

Utilize operational test design software such as JMP or Design-Expert to support analysis efforts * Develop and implement automated data analysis tools using scripting in Microsoft Excel, Access, or ...

AERMOR

Modeling & Simulation Analyst

Norfolk, VA · On-site

... simulation data to assess system performance and support test objectives. • Support the ... as JMP, R, MATLAB, SAS, or Design-Expert. • Experience supporting Modeling & Simulation ...

AERMOR LLC

Modeling & Simulation Analyst

Norfolk, VA · On-site

$95K - $130K/yr

Analyze operational and simulation data to assess system performance and support test objectives ... Experience using one or more statistical analysis tools such as JMP, R, MATLAB, SAS, or Design ...

AERMOR LLC

Modeling & Simulation Analyst

Norfolk, VA · On-site

Analyze operational and simulation data to assess system performance and support test objectives ... Experience using one or more statistical analysis tools such as JMP, R, MATLAB, SAS, or Design ...

Northstrat

Senior Reliability Engineer

Sterling, VA · On-site

Strong data analysis skills (Excel and at least one of Python/R/MATLAB/Minitab/JMP). Desired: * Master's degree in a relevant engineering discipline. * ASQ Certified Reliability Engineer (CRE ...

Northstrat

Senior Reliability Engineer

Sterling, VA · On-site

Strong data analysis skills (Excel and at least one of Python/R/MATLAB/Minitab/JMP). * Desired: * Master's degree in a relevant engineering discipline. * ASQ Certified Reliability Engineer (CRE ...

TE Connectivity

SR MANUFACTURING ENGINEER

Hampton, VA · On-site

$79K - $108K/yr

Understand process capabilities through critical data analysis and in depth understanding of the ... JMP, Minitab, Tableau,Ignition or similar platforms to support data-driven decision making. • ...

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All JobsJmp Data Analytics JobsJmp Data Analytics Jobs in Virginia

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 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.
What are popular job titles related to Jmp Data Analytics jobs in Virginia? For Jmp Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Jmp Data Analytics jobs in Virginia look for? The top searched job categories for Jmp Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Jmp Data Analytics jobs? Cities in Virginia with the most Jmp Data Analytics job openings:
Jmp Data Analytics jobs near you

Availability and Readiness Data Scientist

Paradigm Max Q LLC

Stafford, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Position Description
Title: Availability and Readiness Data Scientist
Reports To: Director of Analytics
Primary Location: United States - Hybrid
Remote Work: Available
Travel: Yes, less than 10% of the time
Security Clearance: Active Secret Clearance (Required)
About us
Paradigm Max Q is redefining defense industry support. Founded in 2023, we combine elite talent with advanced analytics to deliver actionable solutions that improve readiness and reduce costs for the government and warfighter. With rapid growth and operations across the U.S., we're driven by performance, innovation, and impact.
Our mission: to deliver measurable results that strengthen national defense and empower those who serve.
Position Summary
Paradigm Max Q is seeking a highly skilled Data Scientist with preferred experience in supply chain or performance modelling in OPUS Suite or comparable Department of Defense (DoD) modeling tools. The ideal candidate will also bring strong analytical capabilities using Power BI, Tableau, JMP, or JMP Pro to support statistical modeling, predictive analytics, and logistics performance optimization.
In this role, you will design, execute, and interpret advanced performance and supply chain data that drives mission-critical decision-making for government and defense sector programs. You will work cross-functionally to uncover bottlenecks, optimize inventory and readiness strategies, and transform complex modeling outputs into actionable insights.
Key Responsibilities
Supply Chain Modeling & Simulation
  • Develop, configure, and run supply chain simulations using OPUS Suite or similar DoD modeling software.
  • Perform performance modeling, scenario analysis, and readiness assessments to support operational decision-making.

Analytics, Visualization & Reporting
  • Build analytical dashboards and visualizations using Power BI, Tableau, or similar visualization tools to support strategic insights.
  • Conduct statistical experiments including regression modeling, performance testing, and predictive forecasting.
  • Translate modeling findings into clear, actionable recommendations through reports, executive briefings, and decision-support tools.

Operational & Lifecycle Support
  • Collaborate with technical, logistics, and program stakeholders to evaluate supply chain constraints and propose optimization strategies.
  • Provide data-driven support for lifecycle logistics analysis, scenario planning, and operational performance evaluations.
  • Maintain modeling documentation, configuration control, and repeatable analysis processes to support high-quality and auditable deliverables.

Preferred Skills
Performance & Supply Chain Modelling
  • OPUS Suite (e.g., SIMLOX, OPUS10, CATLOC) or similar DoD-focused supply chain modeling suite.

Data Visualization & Business Intelligence
  • Power BI, Tableau, or similar Data Visualization and Dashboarding tools

Statistical Modeling & Experimentation
  • JMP, JMP Pro (Preferred), Minitab, or similar Statistical Modeling software experience

Programming & Data Manipulation
  • Python, R, Tibco, Databricks or similar data processing tools
  • Relational Database experience (MS SQL Server, MySQL, SAP Hana, PostgreSQL or similar) to include writing complex queries

Experience
Qualifications
  • Bachelor's degree or 9+ years of relevant experience in Data Science, Data Analytics, Operations Research, Industrial Engineering, or related field.
  • 5+ years of experience in supply chain modeling, operations analysis, or performance optimization utilizing data tools in modelling, visualization, statistics, and data manipulation
  • Strong verbal and written communication skills with the ability to convey complex technical information to diverse audiences.
  • Active Secret Security Clearance required.

Preferred Qualifications
  • OPUS Suite (e.g., SIMLOX, OPUS10, CATLOC) or similar DoD-focused supply chain modeling suite.
  • Experience supporting DoD clients or federal supply chain programs.
  • Familiarity with SDVOSB or small business government contracting environments.
  • Background in lifecycle cost modeling, readiness analysis, and performance measurement frameworks.
  • Experience in artificial intelligence (AI) or machine learning (ML), particularly as applied to analytics, modeling, or decision-support systems.

Benefits Statement: Paradigm Max Q provides eligible employees with a comprehensive benefits package that includes medical, dental, and vision insurance; life insurance; short-term and -long-term disability coverage; a 401(k)-retirement plan; paid time off (PTO) for vacation; and company -paid- holidays. The benefits package also includes reimbursement for a Planet Fitness Black Card membership.
EEO Statement: Paradigm Max Q is an equal opportunity employer and values diversity in the workplace. All qualified applicants will receive consideration for employment without regards to race, religion, sex, national origin, disability status, protected veteran status, or any other status protected by law.

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