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Manufacturing Data Analyst Remote Jobs in Michigan

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

... support cross-domain manufacturing analytics. This role operates at the intersection of ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Select Minds LLC

Facets Analyst

Lansing, MI · On-site +1

$95K - $98K/yr

Remote - United States Work Hours: EST hours Employment: Full-Time Geographic Restrictions ... Perform data analysis and validation using Oracle SQL/PL/SQL. * Support production issue analysis ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Manufacturing Data Analyst Remote information

What is a manufacturing data analyst?

A Manufacturing Data Analyst (Remote) is a professional who analyzes production data to help manufacturers optimize efficiency, reduce waste, and improve product quality. Working remotely, they collect, process, and interpret data from manufacturing processes using analytical tools and software. They collaborate with engineering, operations, and management teams to identify trends, troubleshoot issues, and recommend data-driven improvements. Their insights support strategic decision-making and help companies maintain competitive advantages in their production operations.

How does a manufacturing data analyst collaborate with production teams in a remote setting?

As a remote Manufacturing Data Analyst, you will regularly interact with production managers, engineers, and quality assurance teams through virtual meetings and digital collaboration tools. Your main responsibilities include collecting and analyzing production data, identifying trends, and providing actionable insights to optimize manufacturing processes. Effective communication skills are essential, as you’ll often present your findings and recommendations remotely, ensuring all stakeholders are aligned despite not being on-site. Regular updates and digital dashboards help maintain transparency and foster strong team collaboration.

What are the key skills and qualifications needed to thrive as a manufacturing data analyst, and why are they important?

To thrive as a Manufacturing Data Analyst (Remote), you need strong analytical skills, proficiency in data modeling, and a relevant degree in engineering, mathematics, or a related field. Familiarity with data analytics tools such as SQL, Python, Power BI, and ERP/MES systems, as well as certifications like Six Sigma, is highly beneficial. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and collaborate across teams. These skills are crucial for driving data-driven decision-making, process improvements, and operational efficiency in manufacturing environments.

What is the difference between Manufacturing Data Analyst Remote vs Manufacturing Data Analyst in-office?

AspectManufacturing Data Analyst RemoteManufacturing Data Analyst In-office
Work EnvironmentRemote, home-based setup with digital collaboration toolsOn-site manufacturing facilities or office locations
Required CredentialsBachelor's in Data Analysis, Manufacturing, or related field; proficiency in data toolsSame as remote, often with additional industry-specific certifications
Employer & Industry UsageManufacturing companies adopting remote data analysis practicesTraditional manufacturing settings with on-site data analysis
Search & Comparison IntentPeople looking for remote manufacturing data analysis rolesIndividuals seeking in-office manufacturing data analyst jobs

The main difference between Manufacturing Data Analyst Remote and in-office roles lies in the work environment. Remote positions allow analysts to work from home using digital tools, while in-office roles require presence at manufacturing sites or offices. Credentials and industry usage are similar, but the choice depends on your preference for remote work versus on-site presence.

Is it possible to work remotely as a manufacturing data analyst?

Manufacturing data analysts can often work remotely, especially if their role involves analyzing digital data, creating reports, and using tools like SQL, Excel, or data visualization software. However, some positions may require on-site presence for equipment operation or collaboration with manufacturing teams. Remote work availability depends on the company's policies and the specific responsibilities of the role.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets production and operational data to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with manufacturing teams to optimize efficiency and quality.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Michigan?

The most popular types of Manufacturing Data Analyst jobs in Michigan are:

What are popular job titles related to Manufacturing Data Analyst Remote jobs in Michigan?

For Manufacturing Data Analyst Remote jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Manufacturing Data Analyst Remote jobs in Michigan look for?

The top searched job categories for Manufacturing Data Analyst Remote jobs in Michigan are:

What cities in Michigan are hiring for Manufacturing Data Analyst Remote jobs?

Cities in Michigan with the most Manufacturing Data Analyst Remote job openings:

Manufacturing Data Analyst Remote jobs near you
Infographic showing various Manufacturing Data Analyst Remote job openings in Michigan as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution.

Solution Architect (Enterprise PLM) REMOTE

PROLIM Global Corporation

Farmington Hills, MI • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

PROLIM (www.prolim.com) is currently seeking for Job Title: Solution Architect - Enterprise PLM Consulting - forone of our top ClientQualified candidates can directly send your updated resume and contact info via email veni.nalla@prolim.com
Location: USA (Remote)
Position Overview:
We are seeking a highly experienced and technically proficient Enterprise PLM Solution Architect. This role will drive the definition, design, and deployment of advanced PLM capabilities across strategic global programs, working closely with Fortune 500 customers, system integrators, and Siemens product domain experts.
The successful candidate will lead solution architecture for complex, multi-domain Siemens PLM implementations, including MCAD Data Management, Part and Classification Management, Multi-domain EBOMs, Manufacturing BOMs, and end-to-end BOM reconciliation. You will provide expert guidance across cross-functional domains such as Document Control, Engineering Change Management (ECM), Requirements Management, and Configuration Management, ensuring seamless integration with design, manufacturing, and quality processes.
Required Qualifications:
  • 10+ years of hands-on experience in PLM solution architecture, with deep technical knowledge of Siemens Teamcenter and related applications.
  • Proven delivery of large-scale implementations involving at least 10 of the following functional domains: MCAD Data Management, Part/Classification, EBOM/MBOM, Change Management, Requirements, Document Control, Configuration Management, Portfolio, Project Management, Supplier Collaboration, Inventor MCAD, Process Planning, Service BOMs, and Quality.
  • Strong working knowledge of Teamcenter platform configurations, Active Workspace, BOM management frameworks, CAD integrations (NX, SolidWorks, Inventor), and manufacturing data flows.
  • Deep understanding of discrete manufacturing industry practices across mechanical, electrical, software, and systems engineering.
  • Experience collaborating with global system integrators (e.g., Accenture, Deloitte, Capgemini) on enterprise-level digital transformation programs.
  • Exceptional communication, stakeholder engagement, and solution selling skills.
  • Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Science, or related field.

Key Responsibilities:
  • Architect and lead the delivery of integrated PLM solutions that encompass:
    • MCAD Data Management: Define and implement CAD integrations (e.g., NX, SolidWorks, Inventor), CAD vaulting, check-in/check-out, and data model design for managed assemblies and parts.
    • ECAD Data Management: Define and implement integrations for electrical design tools (e.g., Siemens DxDesigner, Cadence Concept, Altium Designer), enabling ECAD vaulting, symbol and component library management, schematic and PCB data control, and synchronization of logical and physical design artifacts with the product structure.
    • Part Management: Standardize and structure intelligent part numbering, classification schemas, and approval workflows across engineering and manufacturing domains.
    • Multi-domain EBOM Management: Configure authoring environments for mechanical, electrical, software, and simulation data; establish EBOM views and reconciliation frameworks.
    • Document Management: Design secure, workflow-enabled technical document management aligned with product lifecycle stages and compliance needs.
    • Engineering Change Management: Define end-to-end change control processes including ECR/ECO workflows, impact analysis, and cross-domain coordination.
    • Requirements Management: Integrate system-level requirements into the product structure, traceability across BOM and validation artifacts.
    • Product Configuration Management: Model product variants, options, features, rules, and 150% BOMs using product configurators and effectivity models.
    • Product Portfolio Management: Support capability definition for platform strategies, portfolio structures, and product lifecycle phase-gating.
    • End to End BOM Management: Support collaboration between engineering teams using view-based BOM architectures and ECAD-MCAD integration strategies.
    • Program Planning and Schedule Management: Align engineering deliverables and milestones with project schedules; configure templates and dashboards for status visibility.
    • Supplier Collaboration: Define secure supplier exchange models for CAD, documents, and change items via controlled access portals and workflows.
    • Manufacturing BOM & Process Plans: Align EBOM to MBOM using BOM transformation and manufacturing process planning capabilities.
    • Service BOM Management: Define and manage as-maintained/service BOMs derived from EBOM/MBOM, supporting serialization, maintenance kits, and configuration control. Enable traceability and change management for field service operations.
    • Technical Publications: Establish publication pipelines for generating parts catalogs, service manuals, and work instructions. Ensure alignment between PLM data, CAD content, and document outputs.
    • Product Quality: Support closed-loop quality process integration (e.g., FMEA, NCR, CAPA) into product and change management flows.
    • ERP Integration: Enable seamless bidirectional transfer of product data-including parts, BOMs, and change records-from Teamcenter to ERP systems as part of the engineering release and change process.
  • Lead solution definition workshops, drive fit-gap assessments, and oversee architectural governance for program-wide traceability from business requirements to implementation.
  • Provide solution leadership to global delivery teams, mentor consultants and architects, and contribute to reusable templates, best practices, and frameworks within the Siemens Delivery Framework (SDF).
  • Support complex stakeholder environments and communicate effectively at all levels, including technical leads and C-suite executives, to ensure alignment and adoption.

About PROLIM
PROLIM is a leading provider of PLM, IoT and Digital transformation solutions to Global Fortune 1000 companies. With 9 global offices in US, India, and Australia, PROLIM has won 30+ awards and proudly serving over 1200+ customers to innovate and improve their profitability and efficiency. PROLIM was founded in 2005 and is headquartered in Farmington Hills, USA. With the global footprint and expertise in latest technologies, PROLIM can partner with you to speed up your Digital Transformation journey.

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