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Data Mining Jobs in Minnesota (NOW HIRING)

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 ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$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 ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$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 ...

US Bank

Senior Data Scientist

Minneapolis, MN · On-site

$132K - $155K/yr

... data mining, and predictive analytics - Demonstrated project management skills - Effective interpersonal, verbal and written communication skills If there's anything we can do to accommodate a ...

CSAA

Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and comprehensive modeling dataset. * Strong communication skills to explain model insights to technical ...

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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 11, 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 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?

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.

What are the key skills and qualifications needed to thrive in data mining, 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 August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,558 per year, or $33 per hour.

Senior Business Analyst

INTELLISWIFT INC

Saint Paul, MN

$93K - $120K/yr

Full-time

Re-posted 9 hours ago

Job description

Job Description

Job Role: Senior Business Analyst

Total Experience: 7-10 Years

Location: Saint Paul, MN

Duration: 6 Months+

 

Description: 

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

At least 2 engagements conducting root cause analysis on application defects

At least two engagements that candidate delivered test plans, test strategies and conducted functional testing.

At least one engagement writing SQL in Oracle SQL and SQL Server

At least one engagement where an IBM Service Bus was utilized as the data abstraction layer between two systems

At least one engagement working with State Waiver Programs

At least one engagement responsible for Solution Design

At least one engagement creating application workflow models using IBM middleware technology

At least two engagements where candidate had experience in post-production validation and rollback methodology


Additional Information

Need Locals

Intelliswift logo

About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001

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