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Manufacturing Data Analyst Remote Jobs in Madison, WI

Data Engineer - REMOTE

Madison, WI · Remote

$120K - $160K/yr

Data Engineer - REMOTE Why you want to work at Flexion: Flexion is looking for a Data Engineer for ... Analysis, Development, Design) as needed. Every member within a cross-functional team is a leader ...

Data Engineer - REMOTE

Madison, WI · On-site +1

$120K - $160K/yr

Data Engineer - REMOTE Why you want to work at Flexion: Flexion is looking for a Data Engineer for ... Analysis, Development, Design) as needed. Every member within a cross-functional team is a leader ...

The position supports advanced analytics, machine learning, and federated research capabilities ... It is anticipated that this position will be remote and requires work be performed at an offsite ...

... remote and requires work be performed at an offsite, non-campus work location. Key Job Responsibilities: * Organizes and automates project steps for data preparation and analysis * Documents ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

... support analytics and business intelligence initiatives. The ideal candidate will have a deep ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Strong analytical ability for managing data, forecasting budget impacts and interpreting contract terms of use. Remote Work Requirements * High speed cable or fiber * Minimum of 10 Mbps downstream ...

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Showing results 1-20

Manufacturing Data Analyst Remote information

See Madison, WI salary details

$34.3K

$83.3K

$137K

How much do manufacturing data analyst remote jobs pay per year?

As of Aug 5, 2026, the average yearly pay for manufacturing data analyst remote in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 per year, depending on experience, location, and employer.

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.

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 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.
What are the most commonly searched types of Manufacturing Data Analyst jobs in Madison, WI? The most popular types of Manufacturing Data Analyst jobs in Madison, WI are:
What are popular job titles related to Manufacturing Data Analyst Remote jobs in Madison, WI? For Manufacturing Data Analyst Remote jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analyst Remote jobs in Madison, WI look for? The top searched job categories for Manufacturing Data Analyst Remote jobs in Madison, WI are:
What cities near Madison, WI are hiring for Manufacturing Data Analyst Remote jobs? Cities near Madison, WI with the most Manufacturing Data Analyst Remote job openings:
Infographic showing various Manufacturing Data Analyst Remote job openings in Madison, WI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.

Data Solutions Architect

University of Wisconsin-Madison

Madison, WI • On-site, Remote

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.


University Of Wisconsin-Madison rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

122nd of 614 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
Technical Integration Engineer III
Job Summary:
The Wisconsin Health Data Hub (WHDH), funded by the U.S. Economic Development Administration (EDA), is developing a secure, cloud-native data platform designed to deliver high-quality real-world data to support biomedical research, advanced analytics, and AI-driven discovery.
The Data Solutions Architect provides senior technical leadership responsible for designing, implementing, and governing the architecture of WHDH's data platform. This role ensures the secure, scalable integration, storage, and analysis of complex clinical and research data assets across a cloud-based environment. The position supports advanced analytics, machine learning, and federated research capabilities while maintaining compliance with HIPAA and institutional data governance standards.
Working closely with data engineers, AI specialists, security analyst, and governance leaders, the Data Solutions Architect will translate research and operational requirements into scalable data architecture solutions that support WHDH's long-term platform strategy.
Key Responsibilities:
Data Architecture and Platform Design
  • Design and implement the architectural framework supporting WHDH's secure, cloud-native data platform.
  • Develop scalable architectures for ingesting, harmonizing, storing, and delivering structured and unstructured health data.
  • Establish data models, metadata frameworks, and integration architectures that support advanced research workflows.
  • Design high-performance analytics capabilities enabling AI, machine learning, and large-scale data analysis.

Data Integration and Interoperability
  • Architect secure data pipelines for ingestion and transformation of multi-source clinical and research datasets.
  • Enable interoperable data exchange across contributing health systems and research institutions.
  • Implement scalable services supporting federated queries, distributed analytics, and secure data sharing.

Data Governance and Security
  • Ensure compliance with HIPAA, institutional governance policies, and research data security standards.
  • Establish architectural best practices related to data governance, reproducibility, and responsible use of sensitive health data.
  • Design solutions that support secure access control, auditing, and governance across the WHDH data ecosystem.

Platform Innovation and Strategy
  • Guide the adoption of modern data platform architecture that enhance data discovery, metadata management, and scalable research workflows.
  • Evaluate and implement emerging trends that improve interoperability, accessibility, and performance of WHDH data assets.
  • Develop modular, extensible platform components that enable technology transfer and sustainability beyond the grant period.

Collaboration and Leadership
  • Collaborate with cross-functional teams including data engineers, AI researchers, security analyst, and governance leaders.
  • Provide leadership in defining system design patterns and platform architecture standards.
  • Support multi-institutional research initiatives by enabling secure and scalable collaborative data environments.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. It is an expectation the finalist will have permanent residence within the State of Wisconsin. Successful applicants who do not currently live in Wisconsin must have plans to move to the State within a reasonable time from the position start date.
Key Job Responsibilities:
  • Plans, coordinates, and executes the development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices
  • Designs small components and runs, maintains, and operates technical systems and infrastructure
  • Defines and implements standards for healthcare data interoperability using frameworks such as HL7 FHIR, OMOP Common Data Model, and other biomedical data models to ensure consistent, high-quality data exchange across contributing institutions and research partners
  • Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations, identifies needs, provides solution options, and communicates issue updates and resolutions
  • Plans and directs staff implementation of small to medium technical projects as needed
  • Architects systems that enable privacy-preserving analytics, federated queries, and secure multi-institutional collaboration while maintaining strict data governance controls and enabling authorized researchers to discover and analyze distributed health datasets
  • Develops architectural patterns that support large-scale biomedical datasets, including real-world data, clinical text, imaging, and genomic data, enabling advanced analytics, machine learning, and AI-driven research workflows within a secure cloud environment
  • Designs and implements data architecture that enables secure ingestion, normalization, and integration of clinical, research, and operational data from multiple health system partners while ensuring compliance with HIPAA, institutional policies, and data use agreements
  • Participates in the evaluation of vendor software releases, upgrade planning, and impact. Documents and communicates system enhancements or changes
  • Integrates, identifies, troubleshoots, monitors, and resolves complex and varied supported services, systems, network, and application problems according to established processes and procedures
  • Assists in the design of system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning

Department:
School of Medicine and Public Health, Office of Informatics, Wisconsin Health Data Hub.
This position is within the School of Medicine and Public Health's Office of Informatics, which is a multidisciplinary team of data scientists, engineers, developers, etc. We offer a variety of Informatics services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.
  • Informatics: We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

Compensation:
The starting salary for the position is $120,000 annually, but is negotiable based on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer 2026,
Required Qualifications:
  • At least 8 years' experience designing and implementing enterprise-scale data architectures;
  • Expertise with cloud-native data platforms and distributed data solutions.
  • Experience designing secure data pipelines and large-scale data integration frameworks.
  • Familiarity with healthcare or biomedical research data environments and relevant regulatory requirements.

Preferred Qualifications:
  • Experience with healthcare data standards and interoperability frameworks.
  • Experience supporting AI/ML and advanced analytics workloads.
  • Expertise with federated data architectures and secure multi-institutional data collaboration.
  • Experience working in federally funded research programs or academic research environments.
  • Strong documentation and technical leadership skills

Education:
  • Bachelor's degree strongly preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred.

How to Apply:
For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.
  • Cover letter (required)
  • Resume (required)

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.
The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.
Contact Information:
Cody Roekle, croekle@wisc.edu, 16082637676
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

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About University of Wisconsin

Sourced by ZipRecruiter

The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005