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Weekend Manufacturing Data Analyst Jobs in Michigan

Manufacturing Engineer

Hastings, MI · On-site

$70K - $91K/yr

Analyze manufacturing data to establish priority of actions in assigned work centers. Assess process capability for opportunities for improvement.* Creates and revise equipment, tooling, and gage ...

MI · On-site

Analyze manufacturing data to identify opportunities for process optimization and waste elimination. * Support ergonomic assessments and implement improvements to reduce operator fatigue and improve ...

In this role, you will support day-to-day manufacturing operations as part of cross-functional High Performance Work Team, this includes collection and analysis of manufacturing data to implement ...

Showing results 21-40

Weekend Manufacturing Data Analyst information

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 Michigan?

The most popular types of Manufacturing Data Analyst jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Weekend Manufacturing Data Analyst jobs?

Cities in Michigan with the most Weekend Manufacturing Data Analyst job openings:

Infographic showing various Weekend Manufacturing Data Analyst job openings in Michigan 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.

Data Analyst (SQL / Business Intelligence)

West Bloomfield, MI • On-site

Other

Re-posted 17 days ago


Job description

Position Description: About the RoleAt DACUT Cannabis, data is not just reporting—it is the foundation of how we operate, improve, and scale.We are seeking a highly analytical and detail-driven Data Analyst (SQL / Business Intelligence) to support reporting, analytics, and operational visibility across retail, cultivation, processing, and corporate functions.This role is responsible for transforming raw data into clear, actionable insights that drive performance, compliance, and decision-making across the organization. You will work closely with executive leadership and cross-functional teams to ensure data is accurate, accessible, and meaningful.The ideal candidate is passionate about solving business problems through data, enjoys working with large datasets, and can communicate complex findings in a way that helps teams make better decisions.Essential ResponsibilitiesData Extraction & Query DevelopmentWrite and maintain SQL queries to extract data from internal systems, including POS, inventory, compliance, and financial systems.Work directly with databases to retrieve, join, clean, and structure datasets for reporting and analysis.Ensure the accuracy, consistency, and reliability of data across multiple business systems.Optimize SQL queries and reporting processes for performance and scalability.Reporting & Dashboard DevelopmentBuild, maintain, and enhance dashboards using Power BI or similar business intelligence platforms.Create automated reporting solutions that improve efficiency and increase visibility across the organization.Develop standardized reporting across all business units, including:Sales performanceInventory tracking and shrinkCompliance metricsOperational performanceLabor performanceBusiness & Operational AnalysisAnalyze sales, inventory, labor, and operational trends across multiple retail and production facilities.Identify patterns, inefficiencies, risks, and opportunities for operational improvement.Provide executive leadership with data-driven insights and actionable recommendations.Translate complex datasets into meaningful business intelligence that supports strategic decision-making.Cross-Functional CollaborationPartner closely with Retail, Cultivation, Processing, Finance, Human Resources, and Executive Leadership.Gather reporting requirements and translate business needs into scalable reporting solutions.Support continuous improvement initiatives through data analysis and operational reporting.Present findings and recommendations to both technical and non-technical stakeholders.Data Quality & IntegrityValidate, audit, and reconcile data to ensure accuracy and reliability.Identify and resolve data discrepancies in partnership with internal departments.Support the development of standardized reporting definitions, documentation, and data governance practices.Continuously improve reporting accuracy and data integrity across all business systems.QualificationsRequiredMinimum of 2 years of experience in Data Analysis, Business Intelligence, or Analytics.Strong proficiency with SQL, including queries, joins, aggregations, and data transformation.Experience with Power BI, Tableau, or similar data visualization platforms.Experience working with large datasets and enterprise reporting systems.Strong analytical, critical thinking, and problem-solving skills.Excellent attention to detail and commitment to data accuracy.Ability to clearly communicate technical information to non-technical stakeholders.Strong organizational skills and the ability to manage multiple priorities.PreferredExperience within cannabis, retail, manufacturing, distribution, or other highly regulated industries.Familiarity with POS systems, inventory management systems, or compliance platforms.Experience with ERP, CRM, payroll, or financial business systems.Experience developing executive dashboards and KPI reporting.Understanding of business process improvement and operational analytics.Key CompetenciesAnalytical ThinkingSystems ThinkingAttention to DetailCommunication & CollaborationOwnership & AccountabilityProblem SolvingBusiness AcumenWhat We OfferCompetitive salary based on experienceMedical, dental, and vision insurancePaid Time OffEmployee discount programCareer advancement opportunities within a rapidly growing organizationCollaborative and innovative work environmentOpportunity to work across retail, cultivation, processing, and corporate operationsDirect impact on executive decision-making and company performanceOpportunity to help build the foundational analytics and reporting infrastructure for one of Michigan's fastest-growing cannabis companiesApply TodayIf you're passionate about data, business intelligence, and turning information into meaningful business decisions, we'd love to hear from you. Join DACUT Cannabis and help build the analytics systems that drive smarter operations, stronger performance, and continued growth across our organization.