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Freelance Data Analytics Engineer Jobs in Michigan

$104K - $125K/yr

As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data ... You will collaborate with manufacturing teams, analysts, data scientists, and technology partners ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Analyst #1058274 ... We are seeking an Analytics Engineer (contract) to support development of scalable analytics ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

Showing results 21-40

Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Michigan?

The most popular types of Data Analytics Engineer jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Freelance Data Analytics Engineer jobs?

Cities in Michigan with the most Freelance Data Analytics Engineer job openings:

Infographic showing various Freelance Data Analytics Engineer 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.

Data Analytics Systems Specialist - Material Logistics Management

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 23 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 Analytics Specialist candidate blends technical expertise with strategic vision and can translate complex data into actionable intelligence for senior leaders.
  • Lead data mining and analytics efforts to identify trends, uncover opportunities, and answer critical business questions across all MLM KPIs.
  • Design and implement robust data architecture, governance, and quality frameworks to ensure accuracy, consistency, and reliability of financial and operational data.
  • Leverage AI and machine learning (ML) to build predictive data models, enabling proactive decision-making on financial performance, forecasting, and overall MLM strategies.
  • Collaborate closely with stakeholders across MLM, Production, Finance, Audit and IT to understand data needs and translate them into scalable analytical solutions.
  • Partner with Data Engineering teams to optimize data pipelines, integrations, and infrastructure for Visualizations and advanced analytics.
  • Build and maintain interactive dashboards and self-service analytics tools that support leadership in strategic planning and performance monitoring.

Basic Qualifications:
  • Bachelor's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Minimum 2 years of experience in data mining, modeling and visualization (Excel, PowerBI, Power App, Power Automate, Access, Snowflake)
  • Excellent oral and written communication skills including working knowledge of Microsoft Office and/or Google Suite
  • Ability to work any shift and overtime as required

Preferred Qualifications:
  • Master's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Experience implementing AI/ML models for predictive forecasting, anomaly detection or automated insights generation
  • Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks
  • Knowledge of cloud-based data platforms (Snowflake, Azure, AWS, GCP)
  • Demonstrated success in building trend analysis tools and ensure ROI justification
  • Experience Working in a Unionized Environment
  • Stellantis Industrial Systems Logistics Pillar knowledge

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