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Data Analytics Jobs in Minnesota (NOW HIRING)

Ycotek

Senior Data & Analytics Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Work closely with business stakeholders, data analysts, and data scientists to translate business needs into technical solutions. * Implement data quality frameworks,monitoringsystems, and ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Duluth, MN · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Rochester, MN · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Duluth, MN · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Plymouth, MN · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Rochester, MN · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Plymouth, MN · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Ryan Companies Inc.

Data Analyst

Minneapolis, MN · On-site

$85K - $100K/yr

Provide data analytics support for construction field operations focusing on areas like scheduling and safety across all regions and product types.* Become a subject matter expert in datasets related ...

Ryan Companies

Data Analyst

Minneapolis, MN · On-site

$85K - $100K/yr

Provide data analytics support for construction field operations focusing on areas like scheduling and safety across all regions and product types. * Become a subject matter expert in datasets ...

Jefferson Capital Systems

Data Analyst

Sartell, MN · On-site

... analytics, process management, and data quality oversight. This role develops and maintains performance reporting, executes recurring data processes, performs data validation and analysis, 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 Sep 13, 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.

Senior Data & Analytics Engineer

Minneapolis, MN • On-site

Ycotek
See more jobs at Ycotekexternal

$110K - $150K/yr

Other

Posted 11 days ago

Job description

We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Sr. Data & Analytics Engineer. Please find the role details below;

Key Responsibilities
  • Design, develop, andoptimizedata pipelines and ETL processes for efficient data ingestion, transformation, and integration from multiple sources.
  • Manage andmaintaindata warehouses and data lakes, ensuring accuracy, availability, and security.
  • Work closely with business stakeholders, data analysts, and data scientists to translate business needs into technical solutions.
  • Implement data quality frameworks,monitoringsystems, and performance tuning.
  • Contribute to data modeling, architecture, and governance best practices.
  • Support the development of dashboards, reports, and analytical models toprovideactionable insights.
  • Mentor junior engineers and foster a culture of collaboration and technical excellence within the data team.
Key Specifications
  • Strong experience in SQL, Python.Familiarity with data warehousing technologies (e.g., Snowflake, Redshift,BigQuery) and ETL tools (e.g., Apache Airflow, Talend,Fivetran).
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Knowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.
  • Experience with Hadoop, Spark, Kafka, or other big data technologies is a plus.
  • Strong understanding of relational databases, data modeling concepts, and designing data architectures.
  • Ability to analyze complex data sets andidentifytrends, correlations, and insights.
  • Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’spreferred).
  • 4+ years of experience in data engineering or a related field, preferably in analytics or business intelligence.
  • Strong experience working with large datasets and complex data pipelines.
  • Previousexperience in a similar industry or field is a plus.
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