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Data Mining Jobs in Michigan (NOW HIRING)

Optimal Inc.

Data Management Specialist

Dearborn, MI · Hybrid

Performing data mining and trend analysis. Developing and maintaining Power BI dashboards. Creating executive-level visualizations and reports. Automating reporting processes. Tracking cost-saving ...

SupportFinity™

Data Analyst

Southfield, MI · On-site

Develop reports and dashboards via data mining analytics and reporting tools * Prepare analytics reports in presentation form * Assist in developing sound data ETL practices and processes * Conduct ...

SupportFinity™

Data & AI SCIENTIST

Auburn Hills, MI · On-site

As well as using a variety of data mining/data analysis methods. Job responsibilities include but not limited to: * Merge large, complex data sets that meet business requirements * Analyze large ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software ...

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Data Mining information

See Michigan salary details

$44.5K

$61K

$77.6K

How much do data mining jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data mining in Michigan is $61,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $74,100.00 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 Michigan?

The most popular types of Data Mining jobs in Michigan are:

What are popular job titles related to Data Mining jobs in Michigan?

For Data Mining jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Mining jobs in Michigan look for?

The top searched job categories for Data Mining jobs in Michigan are:

What cities in Michigan are hiring for Data Mining jobs?

Cities in Michigan with the most Data Mining job openings:

Data Mining jobs near you
Infographic showing various Data Mining job openings in Michigan as of September 2026, with employment types broken down into 77% Full Time, 5% Part Time, and 18% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $61,011 per year, or $29.3 per hour.

Senior Breach Analytics & Data Mining

Detroit, MI • On-site

Reliable Software Resources
1 - 5K employees
Learn more about Reliable Software Resourcesexternal

Other

Posted 5 days ago

Job description

Job Role: Senior Breach Analytics & Data Mining Professional

Location:  Detroit, Michigan

Hire-Type: Contract

Profile:
Seeking a senior, highly hands-on professional with deep expertise in breach analytics, advanced data mining, and investigative data analysis. This individual should be capable of independently attacking complex problems—not simply operating existing platforms.

Core Requirements:

  • Deep, hands-on expertise in breach analytics and advanced data mining
  • Ability to analyze very large, complex and unstructured datasets to uncover patterns, relationships, anomalies and compromised/sensitive information
  • Strong Python, SQL and/or comparable scripting capabilities
  • Ability to write their own AI/LLM prompts and scripts to accelerate data mining, investigation, classification and analysis
  • Creative application of AI + scripting + analytics where no predefined methodology exists
  • Strong problem-solving skills and ability to think outside the box
  • Excellent communication and executive-facing skills
  • Energetic, intellectually curious, resourceful and highly accountable
  • Comfortable operating independently and communicating findings directly to senior PwC leadership

 

Important: This is not a RelOne/RelativityOne SaaS operator role. Candidates whose experience is primarily centered around operating RelativityOne or similar packaged eDiscovery platforms are not the target profile.

The client is looking for someone who can build, code, investigate, experiment and develop their own analytical approaches.

Ideal profile: A senior practitioner who combines the mindset of an investigator, data miner and engineer—someone who can take an ambiguous breach dataset, determine the right questions, build the scripts and AI prompts, and uncover what conventional approaches may miss.

Apply