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Hourly Data Analyst Jobs in Minnesota (NOW HIRING)

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 ... Below is the starting salary or hourly range for this position, although offers may differ based on ...

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 ...

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 ...

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 ...

JOB SUMMARY The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains ...

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

JOB SUMMARY The Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains ...

Data Analyst

Sartell, MN · On-site

$50K - $60K/yr

JOB SUMMARYThe Data Analyst is responsible for supporting business operations through reporting, analytics, process management, and data quality oversight. This role develops and maintains ...

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

Data Analyst

Saint Paul, MN · On-site

$27 - $29/hr

Data Analyst Location: St. Paul, MN Duration: 12 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Description : * Analyze quality ...

... 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 ...

Analyze quality standards for components, materials or services. Apply measures, sampling methods, testing methodology and other procedures that ensure that quality standards are met. Notes: 8AM ...

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 ...

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 ...

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Hourly Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do hourly data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for hourly 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 an hourly data analyst?

An Hourly Data Analyst is a professional who is hired on an hourly basis to collect, process, and interpret data to help organizations make informed decisions. Their tasks often include cleaning data, running analyses, creating reports, and visualizing results using tools like Excel, SQL, or specialized analytics software. Hourly Data Analysts may work on short-term projects or provide ongoing support, depending on the employer's needs. This flexible arrangement can be ideal for companies with fluctuating workloads or specific analytical projects.

What are some common challenges hourly data analysts face when managing multiple data projects simultaneously?

Hourly Data Analysts often juggle several projects at once, which can make prioritizing tasks and meeting tight deadlines challenging. Effective time management and clear communication with project stakeholders are key to staying organized and ensuring data quality. Additionally, since analysts may work across departments, adapting to different data systems and reporting requirements is common. Building strong collaboration skills and proactively seeking clarification on project goals can help navigate these challenges successfully.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant educational background such as a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools like Excel, SQL, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving skills, and effective communication help you present insights clearly and work collaboratively with teams. These skills are crucial for transforming raw data into actionable information that supports informed decision-making.

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 Hourly Data Analyst jobs in Minnesota?

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

What cities in Minnesota are hiring for Hourly Data Analyst jobs?

Cities in Minnesota with the most Hourly Data Analyst job openings:

Data Analyst

Tactile Medical

New Brighton, MN • On-site

$61K - $86K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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

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 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

Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions.
Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience.
US Pay Range
$61,500-$86,205 USD
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