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Data Analyst Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Analyst

New Brighton, MN

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 ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

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 ...

Adecco

Data Analyst

Arden Hills, MN · On-site

$61.22/hr

If Data Analyst sounds like something you would be interested in, and you meet the qualifications listed below, apply now! Responsibilities for Data Analyst include but are not limited to: * Leads or ...

Ryan Companies

Data Analyst

Minneapolis, MN

$85K - $100K/yr

Our Data Analyst will play a crucial role in supporting the data and analytics needs of our Construction teams focusing on scheduling and field operations. In this position, you will be responsible ...

Collabera

Data Analyst

Eagan, MN

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and ...

krg technology inc

Data Analyst

Eden Prairie, MN · On-site

... Business Analyst experience including documenting business requirements and functional specifications 5+ years of experience in Data Warehousing - business or data analysis experience in data ...

BCforward

Data Analyst

Golden Valley, MN

Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE

BCforward

Data Analyst

Golden Valley, MN

Data Analyst Duration: 2 Months Location: Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE

AG Technologies

Data Analyst

Minneapolis, MN · On-site

... data from Act as the primary resource to educate providers on the required file standards and submission processes Define record layouts and mapping documents to transform provider files to the ...

HealthPartners

Principal Data Analyst

Bloomington, MN · Hybrid

The Principal Data Analyst serves as the Product Owner for HealthPartners' enterprise ERP reporting portfolio, partnering with business stakeholders and the reporting delivery team to prioritize work ...

Banner Engineering

Associate Data Analyst

Minneapolis, MN · On-site

$56K - $77K/yr

Position Summary The Associate Data Analyst is a member of Banner Engineering's Data Team, supporting the organization's business intelligence, analytics, and enterprise data management initiatives.

Eden Prairie Schools

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Administration/Senior Data Analyst Date Posted: 7/31/2026 Location: Administrative Services Center Date Available: 09/01/2026 Senior Data Analyst Eden Prairie School District is seeking a highly ...

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

Eden Prairie Schools

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 Data Analyst to lead districtwide data analysis, reporting, forecasting, and decision-supported ...

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All JobsData Analyst JobsData Analyst Jobs in Minnesota

Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for 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 the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Minnesota? The most popular types of Data Analyst jobs in Minnesota are:
What are popular job titles related to Data Analyst jobs in Minnesota? For Data Analyst jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Minnesota look for? The top searched job categories for Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analyst jobs? Cities in Minnesota with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Minnesota as of July 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 69% In-person, 10% Hybrid, and 21% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Data Analyst

Tactile Medical

New Brighton, MN

Other

Posted 18 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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