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Weekend Manufacturing Data Analyst Jobs in Detroit, MI

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Industrial Engineer

Warren, MI · On-site

$35 - $50/hr

Analyze manufacturing data and provide recommendations to improve throughput and system performance. Cross-Functional Support * Collaborate with Manufacturing, Controls, Automation, Engineering, and ...

Controls Engineer - MES

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

Controls Engineer

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

Midwest - Controls Engineer

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

Showing results 21-40

Weekend Manufacturing Data Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

How much do weekend manufacturing data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend manufacturing data analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What does a weekend manufacturing data analyst do?

A Weekend Manufacturing Data Analyst is responsible for collecting, analyzing, and interpreting data related to manufacturing processes, typically during weekend shifts. They work to identify trends, inefficiencies, and opportunities for improvement in production operations. Their insights help manufacturing teams make informed decisions, optimize workflows, and enhance product quality. These analysts often use specialized software and reporting tools to generate actionable reports for management and engineering teams.

What are the key skills and qualifications needed to thrive as a weekend manufacturing data analyst?

To thrive as a Weekend Manufacturing Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree such as in engineering, mathematics, or data science. Familiarity with manufacturing data systems, SQL databases, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for this role. These skills and qualities are crucial for identifying trends, supporting process improvements, and delivering accurate insights that drive manufacturing efficiency during weekend operations.

What are some unique challenges that weekend manufacturing data analysts face compared to weekday analysts?

Weekend Manufacturing Data Analysts often encounter challenges such as working with reduced on-site staff and limited immediate support from other departments, which requires a higher degree of independence and problem-solving. Additionally, production schedules or priorities might differ over the weekend, resulting in unique data trends and urgent analysis requests. However, this role provides a valuable opportunity to take ownership of data-driven decision-making during critical off-peak operations, and successful analysts can often leverage this experience for advancement into broader analytical or supervisory positions.

What is the difference between Weekend Manufacturing Data Analyst vs Weekend Quality Control Analyst?

AspectWeekend Manufacturing Data AnalystWeekend Quality Control Analyst
Required CredentialsTypically requires a degree in data analysis, manufacturing, or related fieldRequires a background in quality assurance, manufacturing, or related certifications
Work EnvironmentData-focused, working with manufacturing systems and databases during weekendsInspection and testing in manufacturing settings during weekends
Industry UsageCommonly employed in manufacturing plants to analyze production dataUsed to ensure product quality and compliance in manufacturing facilities

The Weekend Manufacturing Data Analyst and Weekend Quality Control Analyst roles both operate in manufacturing environments during weekends. While the Data Analyst focuses on analyzing production data to optimize processes, the Quality Control Analyst concentrates on inspecting products to maintain quality standards. Both roles require industry-specific knowledge and are essential for manufacturing operations, but they differ in their core responsibilities and skill sets.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Detroit, MI?

The most popular types of Manufacturing Data Analyst jobs in Detroit, MI are:

What are popular job titles related to Weekend Manufacturing Data Analyst jobs in Detroit, MI?

For Weekend Manufacturing Data Analyst jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Weekend Manufacturing Data Analyst jobs in Detroit, MI look for?

The top searched job categories for Weekend Manufacturing Data Analyst jobs in Detroit, MI are:

Infographic showing various Weekend Manufacturing Data Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.

Sr. Business Analyst - Data Analytics, Visualization & AI Solutions

General Motors

Warren, MI • On-site

Full-time

Posted 4 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,298 frontline employees who took The Breakroom Quiz


Job description

Job Description
The Role
The Propulsion Business Analyst will serve as a strategic partner to business leaders by transforming complex data into actionable insights, interactive visualizations, and intelligent automation solutions. This role combines expertise in business analytics, dashboard development, AI agent creation, and data visualization across Microsoft and Google platforms to drive operational efficiency, decision-making, and business performance.
The ideal candidate will possess strong analytical skills, experience designing enterprise reporting solutions, and the ability to leverage artificial intelligence technologies to automate workflows and improve business processes.
What You'll Do
Business Analytics & Insights
  • Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers.
  • Develop data models and analytical frameworks to support business strategy and operational excellence.
  • Translate business challenges into actionable data-driven recommendations.
  • Define, track, and monitor key business performance indicators.
  • Utilize advanced analytics techniques to identify optimization opportunities and business risks.

Dashboard Development & Data Visualization
  • Design, develop, and maintain interactive dashboards and reporting solutions using:
  • Microsoft Power BI
  • Google Looker Studio
  • Google Analytics
  • Tableau
  • Create executive-level visualizations that simplify complex business information
  • Develop scalable reporting solutions that automate data refreshes and improve data accessibility.
  • Ensure reporting governance, metric consistency, and data quality standards.

AI Agent Development & Automation
  • Design, build, and deploy AI agents using platforms such as:
  • Microsoft Copilot Studio
  • Google Vertex AI
  • Google Gemini
  • Azure AI Services
  • Google Agent Builder
  • Power Platform
  • Develop AI-powered assistants that enhance employee productivity and decision-making.
  • Identify opportunities to automate business processes using AI and workflow automation tools.
  • Integrate AI solutions with enterprise data sources and business applications.

Data Management & Engineering Support
  • Extract, transform, and analyze data from ERP, CRM, manufacturing, supply chain, and financial systems.
  • Utilize tools such as:
    • SQL
    • Python
    • Power Query
    • Google BigQuery
    • Microsoft Fabric
  • Partner with IT and data engineering teams to establish scalable data pipelines and architectures.
  • Support data governance, master data management, and data quality initiatives.

Stakeholder Engagement
  • Gather business requirements and translate them into scalable analytics and automation solutions.
  • Present findings and recommendations to executive leadership and operational stakeholders.
  • Train users on dashboards, AI tools, and self-service analytics capabilities.
  • Serve as a trusted advisor for data-driven decision-making and digital transformation initiatives.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Business Analytics, Data Science, Information Systems, Engineering, Computer Science, or related field.
  • 5+ years of experience in business analytics, business intelligence, data visualization, or digital transformation.
  • Advanced proficiency in one or more visualization platforms:
  • Power BI
  • Looker Studio
  • Tableau
  • Experience with Google Cloud Platform (GCP) and/or Microsoft Azure environments.
  • Experience developing AI agents, copilots, chatbots, or workflow automations.
  • Strong SQL and data modeling capabilities.
  • Experience with Google BigQuery or enterprise data warehouses
  • Strong communication, project management, and stakeholder engagement skills.

What Will Give You a Competitive Edge (Preferred Qualifications)
  • Experience with:
  • Google Vertex AI
  • Gemini AI
  • Agent Builder
  • Looker
  • Google Analytics 4 (GA4)
  • Microsoft Fabric
  • Power Automate
  • Azure AI Services
  • Python, R, or machine learning experience.
  • Knowledge of predictive analytics and generative AI technologies.
  • Experience in automotive, manufacturing, supply chain, purchasing, logistics, or operations environments.
  • Professional certifications in:
  • Google Cloud Professional Data Analytics
  • Google Cloud Professional Machine Learning Engineer
  • Microsoft Power BI Data Analyst Associate
  • Microsoft AI Engineer Associate

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908