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Manufacturing Data Analyst Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Analyst

New Brighton, MN · On-site

Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping ... Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping ... Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to ...

Thekineticgroup

Manufacturing Engineer

Anoka, MN · On-site

$77K - $108K/yr

Analyze manufacturing data to identify trends, root causes, and opportunities for improvement * Collaborate with the Materials Engineer on projects involving material performance, heat treatment ...

Thekineticgroup

Manufacturing Engineer

Anoka, MN · On-site

$77K - $108K/yr

Analyze manufacturing data to identify trends, root causes, and opportunities for improvement * Collaborate with the Materials Engineer on projects involving material performance, heat treatment ...

Quanex

Manager, Data Governance

Owatonna, MN · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

Quanex

Manager, Data Governance

Owatonna, MN · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

Cretex Companies, Inc.

IT-Analytics Engineer

Brooklyn Park, MN · On-site

$119K - $143K/yr

Position Summary Analytics Engineer is responsible for designing, building, and optimizing a modern manufacturing data platform that transforms complex operational data into trusted, analytics-ready ...

Cretex Medical

IT-Analytics Engineer

Brooklyn Park, MN · On-site

$90 - $140/hr

Overview Position Summary Analytics Engineer is responsible for designing, building, and optimizing a modern manufacturing data platform that transforms complex operational data into trusted ...

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Manufacturing Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do manufacturing data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manufacturing data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a manufacturing data analyst?

A Manufacturing Data Analyst collects, processes, and analyzes data from production processes to improve efficiency, quality, and cost-effectiveness. They work with large datasets, identify trends, and generate reports to support decision-making. Utilizing tools like SQL, Python, and BI software, they help optimize manufacturing workflows and reduce waste. Their role often involves collaborating with engineers, production managers, and IT teams to ensure data-driven improvements.

What are the typical daily responsibilities of a manufacturing data analyst?

Manufacturing Data Analysts typically spend their days collecting and interpreting data from manufacturing processes to identify trends, inefficiencies, or areas for improvement. They often collaborate with production teams and engineers to understand operational challenges, validate data sources, and implement process enhancements based on their findings. Daily tasks might include generating reports, monitoring real-time production metrics, developing dashboards, and supporting quality assurance efforts. This role is highly collaborative and plays a key part in driving continuous improvement and operational excellence within the manufacturing facility.

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

To thrive as a Manufacturing Data Analyst, you need strong analytical skills, proficiency in data management, and a background in industrial engineering, statistics, or a related field. Experience with data visualization tools (such as Power BI or Tableau), statistical analysis software, and manufacturing ERP/MES systems is highly valued, as are certifications like Six Sigma. Attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These capabilities are crucial for interpreting complex production data, improving manufacturing processes, and clearly conveying insights to cross-functional teams.

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

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

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

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

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

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

Manufacturing Data Analyst jobs near you
Infographic showing various Manufacturing Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Data Analyst

Tactile Medical

New Brighton, MN • On-site

Full-time

Re-posted 19 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

Accountabilities & Responsibilities

  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:

  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:

  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:

  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

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