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Weekend Manufacturing Data Analyst Jobs (NOW HIRING)

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Manufacturing Data Analyst Employment Status: Full-Time, Salaried/Exempt Location: Waukegan, IL Schedule: Onsite daily Monday through Friday from 8 am - 5 pm CT. Salary: $75,000 - $95,000 Position ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

We are seeking a skilled Database Management and Data Analyst with a strong background in manufacturing to join our team on a 6-month contract basis. The ideal candidate will possess expertise in ...

Manufacturing Data Engineer Location: Rockford, IL 61108 Area Code: 815, 779 Pay Rate: $40.00 to 50 ... Analyze performance trends to identify improvement opportunities and support Lean/Six Sigma ...

Operations Data Analyst - Manufacturing / Production An outstanding, full-time , permanent position has become available in the Navasota , TX area for an individual with experience in data analysis ...

Manufacturing Data Architect

Dallas, TX · On-site

$63 - $81/hr

... and analytics--to ensure that data solutions support real-time decision-making, production ... manufacturing processes. • Collaborate with business stakeholders and IT to translate ...

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Weekend Manufacturing Data Analyst information

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$34K

$82.6K

$136K

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

As of May 31, 2026, the average yearly pay for weekend manufacturing data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Manufacturing Data Analyst, and why are they important?

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 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 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.

More about Weekend Manufacturing Data Analyst jobs
What cities are hiring for Weekend Manufacturing Data Analyst jobs? Cities with the most Weekend Manufacturing Data Analyst job openings:
What are the most commonly searched types of Manufacturing Data Analyst jobs? The most popular types of Manufacturing Data Analyst jobs are:
What states have the most Weekend Manufacturing Data Analyst jobs? States with the most job openings for Weekend Manufacturing Data Analyst jobs include:
Infographic showing various Weekend Manufacturing Data Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Manufacturing Data Analyst

Manufacturing Data Analyst

Addison Group

Waukegan, IL

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Manufacturing Data Analyst

Employment Status: Full-Time, Salaried/Exempt

Location: Waukegan, IL

Schedule: Onsite daily Monday through Friday from 8 am – 5 pm CT.

Salary: $75,000 - $95,000

Position Overview

The Manufacturing Data Analyst will enhance supply chain and manufacturing performance through data-driven insights, SIOP reporting, forecasting support, inventory analysis, ERP data validation, and operational KPI reporting.

Key Responsibilities

· Deliver accurate and timely business intelligence to support Supply Chain, SIOP, planning, and manufacturing operations.

· Develop and maintain reports and dashboards related to forecast accuracy, inventory health, supplier performance, production efficiency, and operational KPIs.

· Own SIOP data tracking and provide weekly and monthly updates that highlight gaps, risks, and improvement opportunities.

· Partner with Planning, Commercial, Operations, Purchasing, and Finance teams to align demand forecasts with operational capabilities.

· Maintain and improve databases, data models, and reporting tools that support proactive decision-making.

· Analyze historical data to identify trends, variances, risks, and improvement areas in production planning and material availability.

· Validate ERP data, including routings and BOMs, and act as a gatekeeper for master data changes.

· Support monthly forecasting, scenario planning, benchmarking, and continuous improvement initiatives.

Qualifications & Skills

· Bachelor’s degree in Computer Science, Data Analytics, Business Management, or equivalent work experience.

· 5 years of experience in supply chain or manufacturing operations with a focus on data analysis, forecasting, and strategic business operations.

· 2 years of experience directly supporting or managing Sales, Inventory and Operations Planning (SIOP).

· Advanced Excel skills, including VLOOKUPs, Pivot Tables, Power Query, SUMIFs, and related functions.

· Experience with ERP/MRP systems such as Microsoft Navision or similar platforms.

· Experience with Power BI, Tableau, or other visualization tools preferred.

· Experience with forecasting and trend analysis tools or methods, including time series and regression models.

· Strong ability to translate complex data into actionable insights for cross-functional stakeholders.

Physical Requirements

· Ability to lift up to 15 pounds at a time.

· Ability to sit for prolonged periods while working at a computer.

· Ability to work in a traditional office setting with normal noise levels.

· Ability to view a computer screen for extended periods and review detailed data.

Benefits

The company offers a comprehensive benefits package that includes medical, dental, and vision insurance, 401(k), paid maternity leave, paid paternity leave, tuition assistance, disability insurance, paid time off and holidays, and additional wellness and lifestyle benefits.