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Jmp Data Analytics Jobs in Michigan (NOW HIRING)

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

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 ...

Engineering data tools ... SQL, SAS, Minitab, JMP, MS Excel, Six Sigma * In depth knowledge of advanced analytics techniques.

... data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques. * Advanced skills in Python, SAS, SQL, R, JMP, Excel ...

Lead Process Engineer

Warren, MI

$97K - $126K/yr

Proficiency in process engineering data analytics tools (Excel, PI, Plant Applications, MIDAS, SEEQ, JMP). Led by Purpose. Driven by You. Total Benefits We believe that our employees are our greatest ...

Lead Process Engineer

Warren, MI

$97K - $126K/yr

Proficiency in process engineering data analytics tools (Excel, PI, Plant Applications, MIDAS, SEEQ, JMP). Led by Purpose. Driven by You. Total Benefits We believe that our employees are our greatest ...

Lead Process Engineer

Warren, MI

$97K - $126K/yr

Proficiency in process engineering data analytics tools (Excel, PI, Plant Applications, MIDAS, SEEQ, JMP). Led by Purpose. Driven by You. Total Benefits We believe that our employees are our greatest ...

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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 Michigan? For Jmp Data Analytics jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Jmp Data Analytics jobs? Cities in Michigan with the most Jmp Data Analytics job openings:

Full-time

Posted 20 days ago


Howmet Aerospace rating

7.8

Company rating: 7.8 out of 10

Based on 160 frontline employees who took The Breakroom Quiz

47th of 71 rated aerospace companies


Job description

As a data scientist you will be working on a cross-functional team environment supporting Howmet’s casting, core, and rings facilities.  This position involves:

  • Up to 50% travel to support plants in France, UK and Germany

  • Constructing and manipulating large datasets using tools like SAS, SQL, Python, R, MiniTab, PowerBI, and more to extract multi-factor interactions and drive change

  • Solving manufacturing, quality, and engineering problems using data analytics and science tools.

  • Identifying opportunities and deploying tools to drive continuous improvement through data analytics and science

  • Driving a data-driven culture across the organization through expanding applications and training. 

  • Interacting with internal customers to drive validation trials, implement process improvements, and integrate predictive models using big data


Basic Qualifications:

  • A bachelor’s degree from an accredited university in Materials Science and Engineering, Data Science, Computer Science, Mathematics, Statistics, Analytics, or related 
  • 2+ years of professional data experience or a graduate data science degree
  • Demonstrated success applying advanced statistical methods and/or machine learning algorithms to production/field data using Python or R
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications:

  • 2+ years of professional data science experience
  • Manufacturing/industrial plant experience
  • Experience in applying advanced data and statistical analysis methods to industrial manufacturing data
  • Visualization tools: Power BI, Tableau
  • Engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma
  • In depth knowledge of advanced analytics techniques.
  • Strong verbal and written communication skills.  Excellent analytical skills.
  • Ability to work in a self-directed AND cross-functional team environment.
  • Strong organizational skills.

What Howmet Aerospace employees say

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Benefits

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About Howmet Aerospace

Sourced by ZipRecruiter

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's sales for 2021 approximated $5 billion. The Company's primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With nearly 1,150 granted and pending patents, the Company's differentiated technologies promote more fuel efficiency for aircraft and commercial transportation. Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US

Year founded

1888