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Jmp Data Analytics Jobs in Georgia (NOW HIRING)

Data Analysis: Proficiency in statistical tools and software such as Six Sigma, Minitab, JMP, Python, or Tableau to analyze supplier process capability (Cpk). * Supplier Management: Proven track ...

Analytical skills and experience for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, MiniTab, etc) * Must be able to obtain and ...

Assess customer behavior for consideration in upcoming projects via data analysis (e.g ... Technical aptitude and agility to learn database systems and web-based platforms (i.e., JMP/SAS ...

$115K - $170K/yr

... SPC) data. * Process Monitoring & Control: Audit foundry process flows for Allegro-specific ... Proficiency in statistical analysis software (e.g., JMP, Minitab, or Spotfire). * Familiarity with ...

Collects process data and performs trending and statistical evaluation to monitor process ... Visio, JMP, Minitab, SAP, or similar software * Must be willing to quickly learn and become ...

Collects process data and performs trending and statistical evaluation to monitor process ... Visio, JMP, Minitab, SAP, or similar software * Must be willing to quickly learn and become ...

Collects process data and performs trending and statistical evaluation to monitor process ... Visio, JMP, Minitab, SAP, or similar software * Must be willing to quickly learn and become ...

Collects process data and performs trending and statistical evaluation to monitor process ... Visio, JMP, Minitab, SAP, or similar software * Must be willing to quickly learn and become ...

Showing results 21-33

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 are popular job titles related to Jmp Data Analytics jobs in Georgia?

For Jmp Data Analytics jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Jmp Data Analytics jobs?

Cities in Georgia with the most Jmp Data Analytics job openings:

Supplier Quality Staff Engineer I

Qcells

White, GA

Full-time

Posted 13 days ago


Qcells rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Description

SUMMARY
The Supplier Quality Staff Engineer I (SQE) plays a critical role in establishing and executing strategies to ensure the highest quality of incoming components and raw materials from a global supply base. This position is central to the development and implementation of unified Supplier Quality Management (SQM) systems across manufacturing sites in the United States, South Korea, and Malaysia. Key responsibilities include leading Supplier Selection & Evaluation, managing the Production Part Approval Process (PPAP), and driving continuous improvement at supplier sites. The SQE ensures that all external partners comply with organizational standards and digital quality systems to enhance operational efficiency. By proactively managing supplier changes, conducting audits, and resolving material-related issues, this role ensures a stable and high-quality supply chain that aligns with corporate goals and fosters a culture of quality excellence throughout the organization.
 
RESPONSIBILITIES
  • Supplier Strategic Development: Design and execute comprehensive plans to improve global supplier quality performance, aligning supply chain objectives with corporate manufacturing excellence strategies.
  • Sourcing & Qualification: Lead the quality assessment of new suppliers. Conduct technical audits and risk assessments to ensure potential partners meet the company's rigorous quality and compliance standards.
  • Part Approval & Launch (NPI): Manage the Production Part Approval Process (PPAP) and Initial Sample Inspection Reports (ISIR) for new parts or materials to ensure they meet engineering specifications before mass production.
  • Supplier Audit & Compliance: Conduct regular on-site audits and process verifications at supplier facilities. Monitor adherence to internal quality regulations (QMS) and IATF/ISO standards, identifying gaps and driving corrective actions.
  • Incoming Quality Control (IQC) Oversight: Develop and maintain inspection standards (SIP) for raw materials. Monitor incoming material quality and manage the disposition of non-conforming materials.
  • Issue Resolution & Root Cause Analysis: Lead the resolution of quality issues caused by supplied parts. Issue Supplier Corrective Action Reports (SCAR) and utilize 8D methodology to ensure suppliers implement robust permanent counters-measures.
  • Supplier Change Management: Oversee supplier-driven changes (4M: Man, Machine, Material, Method) to ensure changes are validated, documented, and approved without impacting product quality.
  • Performance Monitoring & Development: Track supplier quality KPIs (e.g., DPPM, SCAR closure rate). Foster collaboration to share best practices and lead supplier development initiatives to elevate the overall capability of the supply base.
 
REQUIRED QUALIFICATIONS
  • Education: A bachelor's degree or higher in Industrial Engineering, Mechanical Engineering, Materials Science, or a closely related field.
  • Responsibility & Commitment: A strong sense of responsibility with the ability to manage supplier relationships effectively, demonstrating persistence in driving suppliers toward quality targets.
  • Analytical & Technical Skills: Strong ability to interpret engineering drawings (GD&T), technical specifications, and material test reports (CoA/CoC).
  • Proactive Mindset: Forward-thinking approach to identifying supply chain risks, anticipating potential component failures, and driving process enhancements at the source.
  • Communication & Negotiation: Exceptional communication and negotiation skills to work effectively with global suppliers, procurement teams, and R&D from diverse regions.
  • Documentation: High proficiency in documentation and reporting, with advanced skills in PowerPoint, Word, and Excel.
 
PREFERRED QUALIFICATIONS
  • 7+ years of experience in related field. 
  • Industry Experience: Significant experience in the PV (Photovoltaic) industry, automotive, or semiconductor sectors with a deep understanding of supplier auditing bodies.
  • Quality Frameworks: Hands-on experience with APQP, PPAP, FMEA, SPC, and MSA.
  • Certifications: Familiarity with quality management certifications such as ISO 9001, ISO14001, IATF 16949 (Certified Lead Auditor is a plus).
  • Data Analysis: Proficiency in statistical tools and software such as Six Sigma, Minitab, JMP, Python, or Tableau to analyze supplier process capability (Cpk).
  • Supplier Management: Proven track record in managing supplier quality, overseeing change control procedures, and leading material qualification processes.
  • Language: Multilingual abilities, with proficiency in Korean and English
 
PHYSICAL REQUIREMENTS
  • Travel: High flexibility to travel domestically and internationally (frequent supplier site visits and audits).
  • Site Presence: Ability to conduct on-site inspections at supplier manufacturing facilities and walk through large production areas.
  • Desk Work: Ability to sit for extended periods for data analysis and reporting.
 
Hanwha Q CELLS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

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