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Big Data Analytics Jobs in Michigan (NOW HIRING)

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

... of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD pipelines and ability to apply ...

Contact Government Services, LLC

Data Engineer

Detroit, MI

$113K - $136K/yr

... of big data analysis and storage tools and technologies. -Strong understanding of the agile principles and ability to apply them. -Strong understanding of the CI/CD pipelines and ability to apply ...

Ford Motor Company

Data Anchor

Dearborn, MI · On-site

... analytics, automation, and intelligence to the factory floor. You will help build the data ... Cloud & Big Data Infrastructure: Designing and maintaining robust data architectures with ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site

$140K - $182K/yr

... big data technologies including Teradata, Hadoop, or Informatica. 4. Performing validation and user acceptance testing for business process solutions. 5. Translating high level design requirements ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with ... Cloud & Big Data Platforms: ( Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with ... Cloud & Big Data Platforms: ( Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

The Commercial Analytics group is looking for a Data Scientist to join our team. Your mission is to ... Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark

Keylent Inc

GCP Data Architect- Hadoop

Dearborn, MI · On-site

$58.75 - $75.50/hr

... Big table, Cloud SQL, Cloud Spanner, Memory store, Data Analytics Data Flow, DataProc, Cloud Pub/Sub, Kubernetes, Docker, managing containers, container auto scaling and container security • ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site +1

$140K - $182K/yr

... big data technologies including Teradata, Hadoop, or Informatica. 4. Performing validation and user acceptance testing for business process solutions. 5. Translating high level design requirements ...

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Big Data Analytics information

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How much do big data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for big data analytics in Michigan is $51.63, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $52.16 per hour, depending on experience, location, and employer.

What is a big data analytics?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

What does a big data analytics professional do?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.

What are the key skills and qualifications needed for big data analytics?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data mining, statistical analysis, and tools like Hadoop and Spark. It offers competitive salaries, opportunities across various industries, and requires continuous learning of new technologies and programming languages such as Python or R.

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

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

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

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

Big Data Analytics jobs near you
Infographic showing various Big Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $107,389 per year, or $51.6 per hour.

Manufacturing Data Analytics Engineer

DivIHN Integration Inc

Hemlock, MI • On-site

$96K - $116K/yr

Contractor

Re-posted 3 days ago

Job description

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions.

 
Please apply or call one of us to learn more

For further inquiries about this opportunity, please contact one of our Talent Specialists, Lavanya at (224) 369 0873, (or) Deepak at (224) 507 1279
 
Title: Manufacturing Data Analytics Engineer
Location: Onsite at Hemlock, MI
Duration: 4+ Months
Hours: Monday - Friday, 8 - 5pm (OT is possible)
 
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
 
This position requires U.S. Citizens only to meet the DoD requirements.
 

Position Summary:

We are seeking a contract Data & Performance Engineer to support data management, reporting, and process improvement initiatives across the organization. This role will be responsible for owning and maintaining data reporting tools, developing and enhancing Power BI dashboards, analyzing performance trends, and partnering with IT and business stakeholders to improve data visibility and reporting capabilities. The ideal candidate will have a strong technical background, experience working with large data sets, proficiency in Power BI, and a demonstrated ability to apply Lean principles to improve workflows and reporting processes.

Key Responsibilities:

  • Own and manage data reporting processes, tools, and dashboards to support business performance tracking.
  • Develop, maintain, and enhance Power BI dashboards and reports for operational and strategic use.
  • Analyze data and report out on performance trends, key metrics, and opportunities for improvement.
  • Partner with IT and cross-functional teams to develop, improve, and automate reporting solutions in Power BI and related systems.
  • Ensure data accuracy, consistency, and integrity across reporting platforms.
  • Identify reporting gaps and recommend solutions to improve data accessibility and decision-making.
  • Support the design and implementation of Lean workflows and continuous improvement initiatives.
  • Document reporting processes, dashboard logic, and data definitions for ongoing support and sustainability.
  • Provide insights and recommendations based on data analysis to support operational performance improvements.
  • Assist in standardizing metrics, reporting structures, and workflow processes across teams.

Required Qualifications:

  • Bachelor’s degree in Engineering or other technical field.
  • 5+ years of experience
  • Experience with reporting and data visualization.
  • Strong data management and analytical skills, including the ability to interpret and communicate performance trends.
  • Experience collaborating with IT and business stakeholders on reporting or system enhancement projects.
  • Knowledge of Lean principles, process improvement methodologies, or workflow optimization.
  • Strong problem-solving, organizational, and communication skills.
  • Ability to work independently in a contract role while managing multiple priorities.

Preferred Qualifications:

  • Experience with PowerBI’s
  • Experience in manufacturing, operations, supply chain, or other performance-driven environments.
  • Familiarity with SQL, Excel, Power Query, DAX, or other reporting and analytics tools.
  • Experience with continuous improvement initiatives and KPI development.
  • Knowledge of data governance and reporting best practices.

About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.