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Medical Data Analyst Jobs in Minnesota (NOW HIRING)

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 ...

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. The Data Analyst will discover valuable ...

Our Data Analyst will play a crucial role in supporting the data and analytics needs of our ... Medical, Dental and Vision Benefits * Retirement and Savings Benefits * Flexible Spending and ...

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Senior Data Analyst Eden Prairie School District is seeking a highly skilled and strategic Senior ... Medical/Hospitalization Medical/hospitalization insurance available per AST agreement District ...

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

The Analyst plays a pivotal role in bridging the gap between business needs and data-driven ... Medical, Dental and Vision Coverage* * Flexible Spending Accounts (FSAs)*, Health Savings Account ...

Data Analyst I

Bloomington, MN · On-site

$24.83 - $28.65/hr

... including medical, dental, vision, life, disability insurance, a 401(k) retirement plan with ... Data Analyst I Essential Functions * Process report or data requests from various departments using ...

Chromatography Data Analyst Compensation: $21.00 - $23.00 per hour Description: * The Scientist ... salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the ...

Chromatography Data Analyst Compensation: $21.00 - $23.00 per hour Description: * The Scientist ... salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the ...

Data Analyst I

Bloomington, MN · Remote

$24.83 - $28.65/hr

... including medical, dental, vision, life, disability insurance, a 401(k) retirement plan with ... Data Analyst I Essential Functions * Process report or data requests from various departments using ...

Analyze and transform data to support operational business needs * Partner with internal ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

... medical, vision, dental, life insurance and more, to help you and your family take care of your ... A Sr. Data Analyst role with our Property Analytics team means you will support and advance the ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

... medical, vision, dental, life insurance and more, to help you and your family take care of your ... A Sr. Data Analyst role with our Property Analytics team means you will support and advance the ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

... medical, vision, dental, life insurance and more, to help you and your family take care of your ... This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

... medical, vision, dental, life insurance and more, to help you and your family take care of your ... This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ...

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

A DAY IN THE LIFE The Principal Data Analyst is a senior individual contributor on the IT Data, ... medical condition, mental disability, military or veteran status, national origin, physical ...

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Medical Data Analyst information

See Minnesota salary details

$16

$36

$53

How much do medical data analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for medical 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 are the key skills and qualifications needed to thrive as a medical data analyst?

To thrive as a Medical Data Analyst, you need strong analytical skills, a solid understanding of healthcare data, and a background in statistics or a related field, often supported by a degree in health informatics, statistics, or computer science. Experience with data analysis tools like SQL, Python, R, and familiarity with electronic health record (EHR) systems or data visualization platforms is typically required. Attention to detail, problem-solving, and effective communication skills help analysts interpret complex data and collaborate with healthcare professionals. These competencies are critical for generating actionable insights that drive informed decision-making and improve patient outcomes.

What is a medical data analyst?

Medical Data Analysts are professionals who collect, process, and analyze healthcare data to help improve patient outcomes and hospital operations. They work with large sets of medical information, such as patient records, billing data, and clinical trial results, to identify trends, evaluate treatments, and support decision-making. Their work is essential for hospitals, research institutions, and insurance companies to ensure data-driven healthcare solutions.

How does a medical data analyst typically collaborate with clinicians and other healthcare professionals?

Medical Data Analysts often work closely with clinicians, nurses, and administrative staff to ensure that data-driven insights are both actionable and relevant to patient care. They may participate in interdisciplinary meetings, translate complex data findings into understandable reports, and provide recommendations for improving clinical workflows based on analytics. Effective communication and an understanding of healthcare operations are essential, as analysts must bridge the gap between technical analysis and practical clinical application. This collaborative environment not only enhances patient outcomes but also fosters continuous learning and professional growth.

What is the role of a medical data analyst?

A medical data analyst collects, processes, and interprets healthcare data to support clinical and operational decision-making. They use statistical tools and software to identify trends, improve patient outcomes, and ensure data accuracy and compliance with privacy regulations.

What does a medical data analyst do?

A medical data analyst collects information, records, and data for companies and organizations that provide health care. They use this data to construct reports and spreadsheets for a management team. The management can use the reports to make adjustments to their operation to account for new trends, streamline treatment plans, and alter customer service, billing, and staffing strategies. A medical data analyst is similar to data analysts in other fields, but they have a deeper understanding of medical terminology and the issues and procedures surrounding the health care industry.

Is there a demand for healthcare data analysts?

Healthcare data analysts are in high demand due to the increasing use of electronic health records and data-driven decision making in healthcare organizations. The role requires skills in data management, statistical analysis, and tools like SQL and Excel, with job growth expected to continue as healthcare data becomes more integral to patient care and operational efficiency.

What is the difference between Medical Data Analyst vs Clinical Data Coordinator?

AspectMedical Data AnalystClinical Data Coordinator
Required CredentialsBachelor's in health informatics, data science, or related field; certifications like CDMP or CPHIMSBachelor's in health sciences, nursing, or related field; certifications like CDMP or CPHIMS
Work EnvironmentHealthcare organizations, research institutions, insurance companiesHospitals, clinical research sites, pharmaceutical companies
Employer & Industry UsageAnalyzing healthcare data, supporting decision-making, improving patient outcomesManaging clinical trial data, ensuring data accuracy, compliance with protocols

While both roles involve healthcare data, Medical Data Analysts focus on analyzing and interpreting data to inform decisions, whereas Clinical Data Coordinators manage and ensure the accuracy of clinical trial data. The roles often overlap but serve distinct functions within healthcare and research settings.

What are the most commonly searched types of Medical Data Analyst jobs in Minnesota? The most popular types of Medical Data Analyst jobs in Minnesota are:
What job categories do people searching Medical Data Analyst jobs in Minnesota look for? The top searched job categories for Medical Data Analyst jobs in Minnesota are:
Infographic showing various Medical Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $76,056 per year, or $36.6 per hour.

Full-time

Posted 23 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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