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Data Analytics Jobs in Minnesota (NOW HIRING)

Cliftonlarsonallen

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

New

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$100 - $130/hr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

New

Knutson Construction

Senior Data Analyst

Minneapolis, MN · On-site

$89K - $113K/yr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

New

Knutson-Construction

Senior Data Analyst

Minneapolis, MN · On-site

$100 - $130/hr

This is a unique opportunity to join a growing Data & Analytics team at an early stage and help build the function from the ground up. As the second member of the team, the Senior Data Analyst will ...

New

Innova Solutions, Inc

Data Analyst

Bloomington, MN · On-site

$40 - $45.89/hr

Create analytics experiences that empower customers to make informed operational decisions. Partner with Business Stakeholders * Collaborate with product managers, customer support teams, and ...

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All JobsData Analytics JobsData Analytics Jobs in Minnesota

Data Analytics information

See Minnesota salary details

$24

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics in Minnesota is $53.62, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $60.72 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Minnesota?

The most popular types of Data Analytics jobs in Minnesota are:

What are popular job titles related to Data Analytics jobs in Minnesota?

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

What job categories do people searching Data Analytics jobs in Minnesota look for?

The top searched job categories for Data Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Data Analytics jobs?

Cities in Minnesota with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,529 per year, or $53.6 per hour.

Director of Data Analytics and AI

Trelleborg

Plymouth, MN • On-site

Full-time

Re-posted 10 days ago

Trelleborg rating

8.2

Company rating: 8.2 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

89th of 543 rated manufacturers

Job description

Tasks and Responsibilities
  • Develop and execute enterprise-wide data, digital, and AI strategy
  • Establish and enforce data governance policies, standards, and frameworks
  • Design and implement master data architecture, models, and hierarchies
  • Ensure master data accuracy and consistency across customer, product, vendor, and operational domains
  • Define and manage processes for creation and maintenance of master data
  • Lead digital transformation initiatives including AI, analytics, and data platforms
  • Identify opportunities for AI-driven optimization in operations and decision-making
  • Develop reporting standards, dashboards, and advanced analytics capabilities
  • Monitor emerging technologies and implement innovative digital solutions
  • Establish AI governance including model lifecycle and risk management
  • Lead, develop, and mentor global data and AI teams
  • Collaborate with cross-functional stakeholders to align initiatives with business priorities
  • Manage Data & AI budget and ensure cost efficiency and ROI
  • Conduct data quality reviews, audits, and continuous improvement initiatives

Education and Experience
  • Degree in Computer Science, Data Science, Information Management, or related field
  • 10+ years of relevant experience in data, analytics, or digital leadership roles
  • Proven experience in data governance and master data management
  • Strong experience in enterprise data architecture and analytics platforms
  • Experience leading digital transformation and AI initiatives
  • Experience in global / multi-site environments
  • Knowledge of data privacy regulations (e.g., GDPR, ITAR)
  • Fluent English (spoken and written)

Competencies
  • Strategic thinking and strong business acumen
  • Leadership and team development capability
  • Strong communication and stakeholder management skills
  • Advanced analytical and problem-solving skills
  • Ability to interpret complex data and drive insights
  • Financial and budget management capability
  • Strong execution and results orientation

Key Performance Indicators
  • Data quality and master data accuracy
  • Adoption of governance frameworks
  • ROI of Data & AI initiatives
  • Improvement in reporting efficiency and time-to-insight
  • Adoption of analytics tools
  • Stakeholder satisfaction

Travel required during key transformation phases, domestic and international (estimated <20%)
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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