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Data Mining Jobs in Minnesota (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Senior Consultant

Minneapolis, MN · On-site +1

$119K - $198K/yr

Provide industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modeling tools to produce analysis and algorithms that help businesses make ...

... financial data mining for strategic insights - Excelling in complex data analysis and visualization - Demonstrating proficiency in financial forecasting and modeling - Managing operational ...

AML Analyst

Plymouth, MN · On-site

$25 - $30/hr

Strong proficiency in Microsoft Excel and comfort working with data analytics and data mining methods. * Demonstrated analytical ability with strong problem-solving skills and a high level of ...

Pharmacy Analyst III

Minnetonka, MN · On-site

$78K - $134K/yr

Data Mining and Report Development * Leverage analytical tools in the collection, analysis and reporting of pharmacy data, pharmacy trends, and key performance metrics * Data Analysis and Report ...

Showing results 41-60

Data Mining information

See Minnesota salary details

$50K

$68.6K

$87.2K

How much do data mining jobs pay per year?

As of Aug 25, 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 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 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.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

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 tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

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 cities in Minnesota are hiring for Data Mining jobs?

Cities in Minnesota with the most Data Mining job openings:

Infographic showing various Data Mining job openings in Minnesota as of August 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $68,558 per year, or $33 per hour.

Sr Data Analyst

Minneapolis, MN • Hybrid


Target
Retail • 10K+ employees

6.6

Company rating: 6.6 out of 10

Based on 7,004 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Recommended by students

Paid breaks

Uninterrupted breaks


$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

The pay range is $88,000.00 - $158,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision tolife through our values and culture.Learn more about Target here.

Target's distinctive brand love is infused throughout its many physical locations by the Properties teams. We have a direct and positive impact on the real estate, design, construction and maintenance of our stores, distribution centers and headquarters. Are you ready to help strategically grow Target's brand through leading-edge design, development, construction and preservation? Can you effectively balance the efficiencies of a large-design build company with the unique challenges and innovative solutions required by individual sites? Then take your place on one of our Properties teams, and help us make the most of Target's physical assets, both in the U.S. and overseas.

A Sr. Data Analyst role with our Property Analytics team means you will support and advance the data and analytics capabilities related to Target Properties' strategic initiatives to drive returns on capital spend in stores and reduce program expenses. As a part of the Properties Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product managers and engineers. They support all Properties strategic initiatives with data, reporting and analysis. Properties teams rely on this team of analysts to bring data to support decision making.

As a Sr. Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights.Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data.You will work within an agile environment which requires active participation in ceremonies and team meetings. In this role, you'll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiative requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leverage in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability is still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs.

About you:

  • BA/BS or equivalent experience

  • 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.

  • Utilize tools (Python, SQL) to build insights and solutions off varying data storage platforms (GCP, Hadoop, Postgres, Oracle, etc.)

  • Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation

  • Experience developing metrics, reports, visualizations and/or statistics while documenting code and adhering to data management principles

  • Advanced proficiency in at least 1 visualization tool (i.e. Power BI, Domo, Tableau) with willingness and ability to learn additional visualizations tools

  • Knowledge of AB Testing methods, time series, S&OP planning, forecasting models including statistical analysis

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


Target logo

About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US


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Pay

Benefits

Hours and flexibility

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