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Big Data Analytics Jobs in Michigan (NOW HIRING)

$1.4K/wk

A. in Policy Analytics (MAPA) program.The course will be offered synchronously online (via Teams ... Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big ...

$1.4K/wk

A. in Policy Analytics (MAPA) program.The course will be offered synchronously online (via Teams ... Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

Data Engineer

Detroit, MI · On-site

$112K - $152K/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 ...

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 ...

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 ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

... 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 ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * Engineer 3 Exp: 7+ years Data Engineering work experience Experience Preferred: Our preferred ...

Solution Architect

Ann Arbor, MI · On-site

$100 - $130/hr

Big Data technologies, specifically Hadoop and related Apache projects; * Business intelligence ... Perform needs analysis and information gathering on client expectations and technical baselines for ...

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Showing results 41-60

Big Data Analytics information

See Michigan salary details

$50

$51

$52

How much do big data analytics jobs pay per hour?

As of Aug 7, 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 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.

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.

Is big data analytics a good career?

Big Data Analytics is a growing field with high demand for professionals skilled in data analysis, programming, and tools like Hadoop and Spark. It offers competitive salaries, opportunities for advancement, and requires continuous learning to keep up with evolving technologies.
Infographic showing various Big Data Analytics job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 7% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $107,389 per year, or $51.6 per hour.

Data Analytics Specialist - Employee Relations

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 22 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

Stellantis is seeking a Data Analytics Specialist to develop analytical tools and insights that improve workforce attendance, support operational performance, and strengthen Employee Relations decision-making.
The primary focus of the role is attendance and absenteeism analytics. The successful candidate will partner with Employee Relations, Manufacturing, IT, and other functions to consolidate data, identify trends and root causes, and translate findings into actionable recommendations.
Primary Responsibilities
  • Analyze attendance, absenteeism, operational performance, employee engagement, and related Employee Relations issues.
  • Collect, cleanse, integrate, validate, and analyze data from multiple sources.
  • Develop and improve recurring absenteeism reports, dashboards, scorecards, and key performance indicators.
  • Identify trends, root causes, emerging risks, and predictive indicators affecting workforce availability and business performance.
  • Translate analytical findings into clear recommendations for Employee Relations and Manufacturing leadership.
  • Apply statistical analysis, machine learning, artificial intelligence, and data visualization to support business decisions.
  • Build and maintain repeatable data pipelines, datasets, queries, and analytical tools.
  • Use advanced Microsoft Excel, Access, Power Query, SQL, and related technologies to prepare data, automate reporting, and improve analytical efficiency.
  • Communicate findings through concise visualizations, presentations, and executive summaries.

Basic Qualifications
  • Bachelor's degree, or anticipated completion of a bachelor's degree, in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field
  • A minimum of 3 years of experience supporting data science, advanced analytics, business analytics, or statistical modeling projects
  • Advanced proficiency in Microsoft Excel, Access, Power Query, and SQL
  • Experience integrating, cleansing, validating, and analyzing data from multiple sources
  • Working knowledge of statistical analysis, machine learning, artificial intelligence, data visualization, and dashboard development
  • Ability to translate complex data into practical business recommendations
  • Strong communication, problem-solving, and cross-functional collaboration skills
  • Experience with benchmarking and performance comparisons
  • Strong presentation and data-storytelling skills

Preferred Qualifications
  • Master's degree, or equivalent experience, in a quantitative field
  • Five or more years of experience delivering data science or advanced analytics projects
  • Experience in attendance, workforce, manufacturing, operational, employee, or customer analytics
  • Proficiency in Python or R and experience with predictive modeling or data mining
  • Experience with business intelligence and automation tools such as Power BI, QlikView, Cognos, VBA, or Power Automate
  • Knowledge of manufacturing operations, finance, labor economics, behavioral economics, or project and change management

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