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Medical Device Data Analyst Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Analyst

New Brighton, MN · On-site

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 ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

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 ...

VOLT

Medical Device Assembler

Plymouth, MN · On-site

$17.50 - $19.25/hr

Volt is immediately hiring a Medical Device Assembler in Plymouth, MN 55442 As a Medical Device ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

VOLT

Medical Device Assembler

Saint Paul, MN · On-site

$17.50 - $18.75/hr

Assemble, repair, and test medical catheters and related medical device components in a cleanroom ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Boston Scientific

Business Process Analyst I

Arden Hills, MN · Hybrid

$64K - $86K/yr

... or medical device environments. * Analytical and problem-solving skills. * Experience working with Microsoft Office applications, including Excel. * Ability to analyze data and translate business ...

Posted today

VOLT

Medical Device Assembler - 1st Shift

Plymouth, MN · On-site

$18 - $18.75/hr

Volt is immediately hiring a Medical Device Assembler in Plymouth, MN 55442 As a Medical Device ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Socket.dev

Senior Firmware Test Engineer

Minneapolis, MN · On-site

$94 - $131/hr

... data exchange, and connected device workflows. * Drive defect investigation by reproducing issues, analyzing logs and device behavior, supporting root cause analysis, and communicating test findings ...

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Medical Device Data Analyst information

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How much do medical device data analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for medical device data analyst in Minnesota is $36.57, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $37.69 per hour, depending on experience, location, and employer.

What does a medical device data analyst do?

A Medical Device Data Analyst is responsible for collecting, processing, and interpreting data generated from medical devices to support healthcare outcomes, regulatory compliance, and product development. They analyze large datasets to identify trends, ensure data integrity, and provide actionable insights to engineers, clinicians, or regulatory teams. Their work helps improve patient safety, device performance, and supports decision-making processes in medical device companies or healthcare organizations.

How does a medical device data analyst typically collaborate with cross-functional teams in healthcare organizations?

Medical Device Data Analysts frequently work with engineering, clinical, and regulatory teams to interpret and communicate data from medical devices. They analyze device performance and patient outcomes, providing actionable insights that inform product improvements and compliance documentation. Collaboration often includes participating in interdisciplinary meetings, presenting findings, and supporting quality assurance projects. This teamwork ensures the safe and effective use of devices, making strong communication and problem-solving skills essential for success in the role.

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

To thrive as a Medical Device Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in life sciences, engineering, or a related field. Expertise in data analysis tools like Python, R, SQL, and familiarity with medical device regulations and systems such as FDA compliance software are typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies are crucial for ensuring data integrity, regulatory compliance, and meaningful contributions to medical device development and patient safety.

What is the difference between Medical Device Data Analyst vs Medical Device Quality Specialist?

AspectMedical Device Data AnalystMedical Device Quality Specialist
Required CredentialsBachelor's in data analysis, healthcare, or related field; certifications like CAP or Six Sigma beneficialBachelor's in engineering, quality assurance, or related; certifications like CQE or ISO auditor often required
Work EnvironmentData analysis teams, R&D, or clinical settings within medical device companiesQuality assurance departments, manufacturing plants, or regulatory compliance teams
Employer & Industry UsageUsed across medical device firms focusing on data management and analysisUsed in quality control, regulatory compliance, and manufacturing sectors

The Medical Device Data Analyst primarily focuses on analyzing data related to medical devices to improve performance and compliance, while the Medical Device Quality Specialist concentrates on ensuring products meet quality standards and regulatory requirements. Both roles are essential in the medical device industry but serve different functions within the product lifecycle.

Are healthcare data analysts in demand?

Healthcare data analysts, including medical device data analysts, are in high demand due to the increasing use of electronic health records and data-driven decision-making in healthcare. They are valued for their skills in data management, analysis tools like SQL and Python, and understanding of medical device data to improve patient outcomes and operational efficiency.

What is a medical device data analyst?

A medical device data analyst is a professional who collects, interprets, and manages data generated by medical devices to ensure device performance, safety, and compliance. They often use data analysis tools and have knowledge of healthcare regulations, working closely with clinical teams to improve device functionality and patient outcomes.

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

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

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

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

What cities in Minnesota are hiring for Medical Device Data Analyst jobs?

Cities in Minnesota with the most Medical Device Data Analyst job openings:

Medical Device Data Analyst jobs near you
Infographic showing various Medical Device Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 86% Full Time, 5% Temporary, and 9% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $76,056 per year, or $36.6 per hour.

Data Analyst

Tactile Medical

New Brighton, MN • On-site

Full-time

Re-posted 16 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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