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Data Analyst Data Science Jobs in Michigan (NOW HIRING)

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining ... Collaborate with data engineers, data scientists, and UX partners as required * Apply feedback and ...

Rocket

Manager, Data Science

Detroit, MI · On-site

... • Query, analyze, and summarize large and complex datasets to drive business strategy and ... data science problems • Monitor the performance of implemented solutions and conduct recurring ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

Technomics

Data Analyst

Troy, MI · On-site

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data-driven solutions using Palantir Foundry and related technologies. The role will support data ...

New

Technomics, Inc.

Data Analyst

Troy, MI · On-site

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data-driven solutions using Palantir Foundry and related technologies. The role will support data ...

New

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Provides analytical thought leadership and stays current on developments in data mining and the application of data science * Provides thought leadership and/or broad industry knowledge across ...

Td

Principal Data Scientist (US)

Southfield, MI · On-site

$148K - $223K/yr

Provides analytical thought leadership and stays current on developments in data mining and the application of data science * Provides thought leadership and/or broad industry knowledge across ...

Masco Corporation

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Bachelor's degree or equivalent experience in Data Analytics, Business, Finance, Supply Chain, Statistics, Computer Science, or related field * Basic skills in analytical tools such as Excel and ...

SupportFinity™

Data Analyst

Southfield, MI · On-site

$70 - $90/hr

This is a Technical Data Analyst role. The candidate would be expected to help develop analytic ... Bachelor's Degree in computer science, statistics, mathematics, or relevant discipline * Training ...

HCLTech

Data Analyst

Farmington, MI

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and ...

Niowave Inc.

Senior Data Analyst

Lansing, MI · On-site

$78K - $98K/yr

We are a team of scientists, engineers, technicians, and innovators dedicated to changing the world by developing medical isotopes to treat and eradicate cancer. We believe in building an environment ...

Socket.dev

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

Minimum of 3 years of experience in data analysis, data science, systems analysis, business intelligence, financial analytics, or a related role; experience applying ML/AI concepts in a business ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

Translate complex business questions and challenges into well-defined data science problems and analytical tasks. * Develop, train, and evaluate statistical and machine learning models to address ...

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Showing results 21-40

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 Analyst / Front End

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 29 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on turning data into usable, consumable insights and tools, aligned with business needs and standard design practices.
Working under the direction of a Data & AI Product Owner, the role contributes to the delivery of dashboards, KPIs, alerts, and front-end applications that enable business users to access and act on Purchasing data efficiently.
Key Accountabilities include but not limited to:
  • Analytics & Front-End Development
  • Build dashboards, reports, and front-end data applications aligned with product requirements
  • Implement interactive views, filters, and user-friendly interfaces within approved standards
  • Ensure analytics outputs are clear, accurate, and aligned with business definitions
  • Data Analysis & Validation
  • Analyze Purchasing data to identify trends, exceptions, and insights
  • Validate data correctness and consistency in collaboration with Data Manager and Product Owner
  • Support root-cause analysis by surfacing data patterns and anomalies
  • Product Delivery Support
  • Translate Product Owner requirements into functional analytics deliverables
  • Support testing, validation, and release of data products
  • Contribute to incremental improvements based on user feedback and usage patterns
  • Collaboration & Continuous Improvement
  • Collaborate with data engineers, data scientists, and UX partners as required
  • Apply feedback and lessons learned to improve future deliveries
  • Follow agreed development, documentation, and quality practices

Basic Qualifications:
  • Bachelor's degree in business, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, or a related field.

Preferred Qualifications:
  • 1 year of work experience
  • Strong negotiation and strategic thinking skills
  • Excellent analytical, organizational, and communication abilities
  • Experience collaborating in cross-functional teams
  • Ability to identify and prioritize critical tasks
  • Self-motivated, resourceful, and organized in managing complex work

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