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Data Mining Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Analyst

New Brighton, MN

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 ...

Northrop Grumman Corporation

$89K - $134K/yr

Experience with data mining, data analysis, or data visualization software applications (e.g. Tableau) * Experience with factory simulation / modeling (e.g. FlexSim) * Ability to obtain and maintain ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

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 ...

RELX

Data Scientist

Minneapolis, MN

$77K - $128K/yr

The ideal candidate will bring strong expertise in data mining and analytics to deliver impactful insights and scalable solutions. Responsibilities * Build and deploy machine learning models using R ...

RELX Group plc

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Solid problem solving, analytical skills, data curiosity, data mining, data creation and consolidation * Support conclusions with a clear, understandable story that leverages descriptive statistics ...

RELX

Senior Data Scientist III

Minneapolis, MN

$115K - $192K/yr

To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI ...

Jobsbridge

Senior Business Analyst

Saint Paul, MN

$93K - $120K/yr

A minimum of 7 years of experience as a Business Analyst At least 2 engagements demonstrating experience with data mining and analysis At least 3 engagements using Agile/Waterfall/RUP methodologies ...

General Mills

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced ...

INTELLISWIFT INC

Senior Business Analyst

Saint Paul, MN

$93K - $120K/yr

A minimum of 7 years of experience as a Business Analyst At least 2 engagements demonstrating experience with data mining and analysis At least 3 engagements using Agile/Waterfall/RUP methodologies ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation * Experience developing metrics, reports, visualizations and/or statistics while documenting ...

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All JobsData Mining JobsData Mining Jobs in Minnesota

Data Mining information

See Minnesota salary details

$50K

$68.6K

$87.2K

How much do data mining jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data mining in Minnesota is $68,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $83,200.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Minnesota? The most popular types of Data Mining jobs in Minnesota are:
What are popular job titles related to Data Mining jobs in Minnesota? For Data Mining jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Minnesota look for? The top searched job categories for Data Mining jobs in Minnesota are:
What cities in Minnesota are hiring for Data Mining jobs? Cities in Minnesota with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Minnesota as of July 2026, with employment types broken down into 77% Full Time, 4% Part Time, and 19% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $68,558 per year, or $33 per hour.

Data Engineering Delivery Lead / Data Architect

Donato Technologies, Inc

Minneapolis, MN • On-site

$80/hr

Contractor

Re-posted 15 days ago

Job description

Need Locals to MN
 

Required skills:

We are seeking a Senior/Lead Data Engineer with strong hands-on experience in creating data pipelines using Snowflake, SQL, PL/SQL, AWS, experience in requirements & data analysis and data modeling.
Required skills:
  • This is a hands-on delivery lead role specialized in data engineering
  • Strong communication skill to work with senior executives
  • 20-25 years of experience in Information Technology services across industries
  • -8-10 years of experience in designing Application Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL)
  • 5 years of experience in designing data conformation from disparate data sources for data analytics
  • 3 years of experience in Cloud platform (AWS)

Nice to have skills:
Continues from req. skills:

  • Informatica Intelligent Cloud Services - ETL Processes to handle high volume data for PowerBI

Nice to have skills:

  • Power BI hands-on experience

And additional details:

  • Data Engineering - End to end solution in Data Engineering , Requirement analysis, SQL, AWS, S3, Snowflake, Dimensional Modeling (SCDs and it's type), Data Profiling, Data Validation, PowerBI (Good to have) , Resource should be completely Hands on.
  • FP&A- Revenue , AOP, LBE, Rolling Forecast, S&OE, Marketing Expenses, Margin, Variance etc.
  • Stakeholder Management- Experience in managing senior leadership, managing team of Data engineers, also, experience in SAP (Finance Data) would be added advantage.

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.