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Data Mining Jobs in Michigan (NOW HIRING)

KFC

Administrative

Lanse, MI · On-site

Experienced with data mining and independently able to find and analyze data to provide recommendations to management. * Capable of managing workload and prioritizing multiple responsibilities in a ...

KFC

Administrative

Lanse, MI · On-site

Experienced with data mining and independently able to find and analyze data to provide recommendations to management. * Capable of managing workload and prioritizing multiple responsibilities in a ...

KFC

Administrative

Lanse, MI · On-site

Experienced with data mining and independently able to find and analyze data to provide recommendations to management. * Capable of managing workload and prioritizing multiple responsibilities in a ...

Epitec

Data Coordinator General

Dearborn, MI · On-site

$35 - $37/hr

Bachelor's Degree. * 3-5 years of experience in data mining, data analysis, or operational analysis. * Strong analytical and problem-solving skills. * Experience creating reports, dashboards ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

... mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model ... Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

... mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model ... Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Mining * Business Intelligence * Software Development * Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * 3+ years of Alteryx experience ...

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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:

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.

Audit Data Analyst

Detroit, MI • On-site

Blue Cross Blue Shield of Michigan
Insurance Services • 5 - 10K employees
Learn more about Blue Cross Blue Shield of Michiganexternal

Full-time

Re-posted 8 days ago

Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

IntroductionWith more than 7,000 employees, we are the largest health insurance company in Michigan. We offer an exciting work environment with a diverse group of employees. Our goal is to make health insurance easier for our members. We want to transform the industry and become a resource that people can trust.

Overview

Responsible for assisting in the continuous improvement and maturity of the data analytics program within BCBSM Internal Audit and assisting with other day-to-day operational responsibilities of the Audit data analytics team. Performs analytics to identify issues, risks, and trends to assist from audit planning through execution, including data mining, profiling, script creation, and dashboard creation.

Responsibilities

  • Provide support to Internal Audit teams by creating automated testing and conducting continuous monitoring through the use of CAATs and other analytic tools.
  • Perform data querying, manipulation, data set testing, and create scripts or data visualizations on large data sets using the various tools.
  • Lead analytics projects and teams to identify key risk and performance metrics utilizing testing scripts and data visualizations.
  • Assist in the enhancement of the Internal Audit’s data analytics program’s maturity and strategic direction to support audit operations.
  • Assist in obtaining and gaining an understanding of key source system data and requests from Audit leadership.

  • Conduct and lead analytics training for General Audit and Corporate Compliance team members.

Requirements

  • Bachelor's Degree in Accounting, Computer Science, Data Science or related field required.
  • Two (2) -Four (4) years of internal audit, public accounting/audit, data analytics or related field required.
  • Experience with Tableau or similar Business Intelligence Tool preferred.
  • Specialty certification in data analytics tool preferred.
  • CIA, CPA, or CISA certification preferred.
  • Strong written and verbal communication skills.
  • Strong attention to detail, analytical, and problem-solving skills.
  • Excellent skills in Microsoft Office applications and systems (i.e. Excel, Word, PowerPoint, Access, and SharePoint).
  • Ability to work independently and work in a team environment on projects with concurrent deadlines.
  • Familiarity with Data Warehouse and Data Mart concepts.
  • Knowledge of Python, R, Cognos, SQL, or SAS.
  • Must be able to travel to various BCBSM and subsidiary locations around the State, BCBSA (Chicago), other Blues Plans and vendor sites.

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