ZipRecruiter

Log In

2

Remote Statistical Process Control Jobs in Illinois

Inizio Evoke

Director, Analytics (Remote)

Chicago, IL · On-site +1

$150K - $175K/yr

... of analytics strategy, statistical modeling, data engineering concepts, visualization ... Ensure rigorous QA processes, documentation standards, and governance protocols across analytics ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

... processes. Our team is a cross-functional team of data scientists, data engineers, and actuaries ... We seek candidates with a strong foundation in statistical modeling and/or machine learning who ...

NinjaHoldings

Lead Risk Systems Developer

Chicago, IL · On-site +1

$115K - $160K/yr

... to take control of their finances via a full suite of digital banking and lending products ... With offices in Chicago, Miami, and around the world through the power of remote work, we are a ...

NinjaHoldings

Lead Risk Systems Developer

Chicago, IL · On-site +1

$115K - $160K/yr

... to take control of their finances via a full suite of digital banking and lending products ... With offices in Chicago, Miami, and around the world through the power of remote work, we are a ...

next page

Showing results 1-20

All JobsRemote Statistical Process Control JobsRemote Statistical Process Control Jobs in Illinois

Remote Statistical Process Control information

What is the difference between Remote Statistical Process Control vs Remote Quality Analyst?

AspectRemote Statistical Process ControlRemote Quality Analyst
CredentialsStatistical certifications, engineering backgroundQuality assurance certifications, analytical skills
Work EnvironmentManufacturing, production settings, data analysisQuality departments, inspection, testing environments
Industry UsageManufacturing, industrial sectorsHealthcare, manufacturing, service industries
Job FocusMonitoring and controlling processes using statistical methodsEnsuring product quality and compliance

Remote Statistical Process Control specialists focus on analyzing manufacturing data to optimize processes, while Remote Quality Analysts concentrate on maintaining product quality standards. Both roles require analytical skills and industry knowledge but differ in their primary objectives and work environments.

Is SPC still relevant today?

Statistical Process Control (SPC) remains highly relevant for remote SPC professionals, as it is a fundamental method for monitoring and controlling manufacturing and business processes. The use of software tools and data analysis skills continues to enhance SPC effectiveness in quality management across industries. Staying current with statistical techniques and automation tools is important for success in this field.

Is SPC lean or six sigma?

Statistical Process Control (SPC) is a set of tools used within both Lean and Six Sigma methodologies to monitor and control processes. While SPC is a core component of Six Sigma for reducing variation, it is also used in Lean to identify inefficiencies, making it applicable in both approaches depending on the context. SPC skills are valuable for professionals working in process improvement roles, often requiring familiarity with control charts and data analysis tools.

What are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used to analyze and improve manufacturing processes. They include the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help SPC professionals identify variations, monitor process stability, and implement quality improvements.

What is Remote Statistical Process Control?

Remote Statistical Process Control (SPC) refers to the use of statistical methods and software to monitor, control, and improve manufacturing or business processes from a remote location. By collecting and analyzing data in real time, SPC professionals can detect variations, identify trends, and recommend corrective actions without being physically present at the production site. This approach helps organizations maintain product quality, reduce defects, and improve efficiency, especially in environments where on-site monitoring is not feasible. Remote SPC often involves the use of cloud-based tools and secure data transmission to ensure effective oversight.

How does a Remote Statistical Process Control specialist typically collaborate with on-site teams to ensure process quality?

Remote Statistical Process Control (SPC) specialists frequently work with on-site production and quality teams through virtual meetings, shared dashboards, and collaborative data analysis tools. They provide actionable insights by monitoring real-time process data, identifying trends or anomalies, and recommending corrective actions. Effective communication is crucial, as remote SPC specialists must clearly convey findings and support implementation of process improvements. Regular coordination ensures that remote oversight aligns with on-site operational goals and compliance requirements.

Which software is used for SPC?

In a remote statistical process control role, common software used includes Minitab, JMP, and InfinityQS, which provide tools for data analysis, control charts, and process monitoring. Proficiency in these programs is often required, along with understanding of SPC principles and data collection methods.

What are the key skills and qualifications needed to thrive as a Remote Statistical Process Control Specialist, and why are they important?

To thrive as a Remote Statistical Process Control Specialist, you need strong analytical skills, a solid understanding of statistics, and experience in quality assurance, often supported by a degree in engineering, mathematics, or a related field. Proficiency with statistical software tools like Minitab, JMP, or SPC modules within ERP systems, as well as familiarity with Six Sigma or similar certifications, is typically required. Attention to detail, problem-solving, and effective remote communication are essential soft skills for interpreting data trends and collaborating with distributed teams. These skills ensure accurate process monitoring, timely quality improvements, and efficient coordination, which are critical for maintaining manufacturing standards remotely.
What are the most commonly searched types of Statistical Process Control jobs in Illinois? The most popular types of Statistical Process Control jobs in Illinois are:
What are popular job titles related to Remote Statistical Process Control jobs in Illinois? For Remote Statistical Process Control jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Statistical Process Control jobs in Illinois look for? The top searched job categories for Remote Statistical Process Control jobs in Illinois are:
What cities in Illinois are hiring for Remote Statistical Process Control jobs? Cities in Illinois with the most Remote Statistical Process Control job openings:
Remote Statistical Process Control jobs near you
Data Analytics Developer - Education & Employment (Remote Eligible)

Data Analytics Developer - Education & Employment (Remote Eligible)

Mathematica

Chicago, IL • On-site, Remote

Other

Posted 24 days ago

Key responsibilities

  • Write programs in R, Stata, or Python to extract, transform, and wrangle data and create variables for analysis.

  • Perform statistical analyses and prepare tables, graphs, and visualizations.

  • Ensure data quality through all stages of data processing with rigorous quality control.

Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We areseeking an intellectually curious Data Analytics Developer inany of our locations with experience in data management and statisticalprogramming for data analytic and research projects in the Education andEmployment area. The Data Analytics Developer will contribute to intensive datawrangling, advanced programming, administrative data collection and/or datamanagement tasks. They will also apply knowledge of programs, policy, and/ordata content, as well as econometric and statistical methods, when theyacquire, clean, manipulate, manage, and analyze data. These tasks will mostoften be accomplished using a combination of statistical programming packageslike R and Stata, as well as SQL and Python, on both cloud-hosted and moretraditional platforms. Individuals with an interest in confronting thechallenges of working with large, complex data sets, an interest in datamanipulation and analysis, and a desire to become a subject matter expert in educationand employment data are strongly encouraged to apply.

Responsibilities:

  • Write programs in R, Stata, or Python to extract, transform, and wrangle data; create variables for use in analysis.
  • Perform statistical analyses and prepare tables, graphs, and visualizations
  • Providing creative and best practice solutions for data processing optimization
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found

Apply