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Data Analyst Jobs in Minnesota (NOW HIRING)

The Data Analyst will be supporting energy efficiency programs by ensuring data quality and supporting data governance practices. The candidate must be a US citizen or hold a green card. The ...

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 ...

The Data Analyst will be supporting energy efficiency programs by ensuring data quality and supporting data governance practices. The candidate must be a US citizen or hold a green card. The ...

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 ...

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 ...

We have Contract role Data Analyst for client at St. Paul, MN . Please let me know if you or any of your friends would be interested in this position. Position Details: Data Analyst - St. Paul, MN ...

Data Analyst

Duluth, MN · On-site

$31.21 - $38.03/hr

We're seeking someone to help with the legal processes of gathering, analyzing, and sharing data for the Sheriff's Office. This role offers the opportunity to contribute to meaningful work, support ...

... 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

Rochester, MN · Hybrid

$61K - $92K/yr

Responsibilities This position utilizes data analysis, reporting, and database management skills in support of internal and external analysis, information needs and institutional metrics and ...

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

This position utilizes data analysis, reporting, and database management skills in support of internal and external analysis, information needs and institutional metrics and dashboard reporting.

This position utilizes data analysis, reporting, and database management skills in support of internal and external analysis, information needs and institutional metrics and dashboard reporting.

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

Data Analyst I

Little Canada, MN · On-site

$29 - $31/hr

Data Analyst I Contract Duration: 1 year, possible extension Location: Little Canada, MN Work Arrangement: Onsite Pay Range: $29 - 31/hr Summary Seeking a detail-oriented Data Analyst to support ...

... 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 ...

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Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do data analyst jobs pay per year?

As of Jul 26, 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.

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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
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 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:
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

Data Analyst

One Tech Engineering

Minneapolis, MN

Full-time

Posted 13 days ago


Job description

One Tech Engineering is searching for a Data Analyst for a position located in Denver, Colorado, or Minneapolis, Minnesota. The Data Analyst will be supporting energy efficiency programs by ensuring data quality and supporting data governance practices.

The candidate must be a US citizen or hold a green card. The candidate should have at least 3 years of related experience.

Data Analyst Responsibilities:

  • Review and validate incoming data for accuracy and completeness.
  • Identify data gaps, inconsistencies, and issues within data pipelines.
  • Collaborate with IT to develop and implement data validation rules and resolve pipeline issues.
  • Build, maintain, and update data pipelines.
  • Develop and enhance Power BI dashboards and reporting tools.
  • Document data dictionaries, data flows, and validation rules.
  • Work with internal stakeholders to gather reporting requirements and understand business needs.
  • Translate complex data into clear, meaningful insights for business users.
  • Support self-service analytics and provide training to end users as needed.

Requirements of the Data Analyst:

  • 3+ years of related experience.
  • Strong interest in data analytics or data science.
  • Comfortable working with messy, incomplete, or undocumented data.
  • Proficiency in SQL, Python, and Power BI.
  • Experience developing or working with data pipelines is preferred.
  • Familiarity with Jira is a plus.
  • Experience with Databricks is a plus.