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Data Analyst Data Science Jobs in Michigan (NOW HIRING)

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering. The ...

MyMichigan Health

Sr Data Analyst

Midland, MI · On-site

$73K - $93K/yr

Master's degree in data science, analytics, or a related field preferred. Other Information EXPERIENCE, TRAINING AND SKILLS: Five or more years of experience in data analysis roles preferably within ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

AaraTechnologies Inc

DATA ANALYST

Wyoming, MI · On-site

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Zobility

Quality Data Analyst

Auburn Hills, MI · On-site

... Data Science, Business Analytics or related field Preferred : • Automotive, warranty, or aftersales experience • Experience working with large datasets and performance reporting • Familiarity ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Michigan

Data Analyst Data Science information

See Michigan salary details

$13

$35

$60

How much do data analyst data science jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analyst data science in Michigan is $35.12, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $42.60 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

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

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

What cities in Michigan are hiring for Data Analyst Data Science jobs?

Cities in Michigan with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $73,048 per year, or $35.1 per hour.

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI • On-site

Contractor

Re-posted 16 days ago

Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.