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Manufacturing Data Analyst Jobs in Normal, IL (NOW HIRING)

Caterpillar Inc.

Data Scientist

Morton, IL · On-site

Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, committed to building a sustainable world. As a Data Scientist, you will perform analytical tasks on large ...

Aston Carter

Business Analyst

Morton, IL · On-site

$20 - $22/hr

The position focuses on tracking and tracing materials from suppliers to manufacturing facilities ... Data analytics skills to interpret, visualize, and draw insights from operational and ...

Caterpillar

Supply Chain Planning Analyst

East Peoria, IL · On-site

$89K - $133K/yr

Ability to gather, interpret, and analyze data to identify trends, solve problems, and support decision-making. * Manufacturing Requirements Planning (MRP) : Foundational knowledge of materials ...

BCforward

Logistics Planning Analyst

Morton, IL

Analyze technology, resource needs and market demand, to plan and assess the feasibility of projects This analyst will collect data, validate packaging and populate the Manufacturing Enterprise ...

Eaton

Manufacturing Engineering Manager

Lincoln, IL · On-site

$97K - $143K/yr

Strong analytical, problem-solving, and communication skills with proficiency in AutoCAD and ... and data security will be protected in accordance with applicable laws. We are committed to ...

Collabera

Logistics Transportation Analyst

Morton, IL · On-site

Industry Manufacturing Work Location Morton IL 61550 Job Title Logistics Transportation Analyst ... Data analysis to identify trends, patterns, and anomalies that can be communicated back to ...

Munich Re

Data Scientist, AI

Bloomington, IL · On-site +1

... as manufactured homes and specialty dwellings - and the recreational market, including boats ... Explain advanced analytic and modeling procedures in the language that audiences with no predictive ...

Caterpillar

Transportation Analyst

Morton, IL · On-site

... manufacturing or distribution network to ensure the smooth running of operations at optimal ... Data Gathering & Analysis: Knowledge of data gathering and analysis tools, techniques, and ...

TriOptus LLC

Logistics Analyst 2

Morton, IL · On-site

... data, including volume produced, consumption of raw materials, and quality control measures. • ... to manufacturing, labor and materials. • Ability to accurately document and record customer ...

Rivian

Staff SAP Analyst, EWM

Normal, IL · On-site

$114K - $142K/yr

ASN data receiving, validation, Transportation mgmt., Goods receipt, Putaway bin determination ... Design and implement Interfaces to Manufacturing Execution and Transportation Management systems

Rivian

Staff SAP Analyst, EWM

Normal, IL · On-site

$114K - $142K/yr

ASN data receiving, validation, Transportation mgmt., Goods receipt, Putaway bin determination ... Design and implement Interfaces to Manufacturing Execution and Transportation Management systems

Rivian

Staff SAP Analyst, EWM

Normal, IL · On-site

$114K - $142K/yr

ASN data receiving, validation, Transportation mgmt., Goods receipt, Putaway bin determination ... Design and implement Interfaces to Manufacturing Execution and Transportation Management systems

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Manufacturing Data Analyst information

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$33.2K

$80.8K

$133K

How much do manufacturing data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for manufacturing data analyst in Normal, IL is $80,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Manufacturing Data Analyst position, and why are they important?

To thrive as a Manufacturing Data Analyst, you need strong analytical skills, proficiency in data management, and a background in industrial engineering, statistics, or a related field. Experience with data visualization tools (such as Power BI or Tableau), statistical analysis software, and manufacturing ERP/MES systems is highly valued, as are certifications like Six Sigma. Attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These capabilities are crucial for interpreting complex production data, improving manufacturing processes, and clearly conveying insights to cross-functional teams.

Is data analyst a high paying job?

A manufacturing data analyst typically earns a competitive salary that varies by experience, location, and industry. The role often requires skills in data analysis tools like Excel, SQL, or Python, and can offer opportunities for advancement and higher pay with specialized certifications or experience. Overall, it is considered a well-paying position within the data analysis field.

Is 40 too late for data science?

For a Manufacturing Data Analyst, age is not a barrier to entering data science, as skills in data analysis, programming, and domain knowledge are more important. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and experience. Continuous learning and practical skills can help overcome age-related concerns in the field.

What are the typical daily responsibilities of a Manufacturing Data Analyst in a production environment?

Manufacturing Data Analysts typically spend their days collecting and interpreting data from manufacturing processes to identify trends, inefficiencies, or areas for improvement. They often collaborate with production teams and engineers to understand operational challenges, validate data sources, and implement process enhancements based on their findings. Daily tasks might include generating reports, monitoring real-time production metrics, developing dashboards, and supporting quality assurance efforts. This role is highly collaborative and plays a key part in driving continuous improvement and operational excellence within the manufacturing facility.

Is AI replacing data analysts?

For manufacturing data analysts, AI tools can automate routine data processing and analysis tasks, increasing efficiency. However, human expertise remains essential for interpreting complex data, making strategic decisions, and developing insights that AI cannot fully replicate. The role is evolving to include skills in AI and machine learning, but it is not being entirely replaced.

What does a manufacturing data analyst do?

A manufacturing data analyst collects, analyzes, and interprets data related to production processes, quality control, and operational efficiency. They use tools like Excel, SQL, or data visualization software to identify trends, improve manufacturing performance, and support decision-making. Strong analytical skills and knowledge of manufacturing systems are essential for this role.

What is a Manufacturing Data Analyst job?

A Manufacturing Data Analyst collects, processes, and analyzes data from production processes to improve efficiency, quality, and cost-effectiveness. They work with large datasets, identify trends, and generate reports to support decision-making. Utilizing tools like SQL, Python, and BI software, they help optimize manufacturing workflows and reduce waste. Their role often involves collaborating with engineers, production managers, and IT teams to ensure data-driven improvements.

What job categories do people searching Manufacturing Data Analyst jobs in Normal, IL look for? The top searched job categories for Manufacturing Data Analyst jobs in Normal, IL are:
What cities near Normal, IL are hiring for Manufacturing Data Analyst jobs? Cities near Normal, IL with the most Manufacturing Data Analyst job openings:
Manufacturing Data Analyst jobs near you
Data Scientist

Data Scientist

Caterpillar Inc.

Morton, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 460 frontline employees who took The Breakroom Quiz

220th of 419 rated machine equipment manufacturers

Job description

Job Summary:
Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, committed to building a sustainable world. As a Data Scientist, you will perform analytical tasks on large datasets to support data-driven business decisions and enhance dealer inventory management.
Responsibilities:
• Support the development of data-driven solutions that enhance dealer inventory management and improve customer service outcomes.
• Lead and support the collection, processing, and analysis of large, complex data sets, ensuring data is cleansed, structured, and ready for advanced analytics.
• Develop and maintain scalable data models to support high-volume data processing and business decision-making.
• Apply machine learning, natural language processing (NLP), and text analytics techniques to extract meaningful insights and enhance data capabilities.
• Collaborate with cross-functional stakeholders to define data analysis requirements, scope projects, and translate business problems into analytical solutions.
• Generate and present actionable insights to leadership using data visualization tools (e.g., Power BI) to drive business decisions.
• Research and implement improvements to data models, algorithms, and analytical approaches to increase accuracy and effectiveness.
• Work with modern data platforms and tools (e.g., Python, SQL, Snowflake, Azure, Dataiku) to manipulate and analyze large-scale datasets.
• Partner with internal teams to integrate signals from connected assets and apply predictive models to anticipate operational needs.
Qualifications:
Required:
• Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
• Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
• Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Preferred:
• Strong problem-solving mindset with a willingness to learn and adapt in a fast-paced environment.
• Foundational experience or exposure to programming languages such as Python and SQL.
• Familiarity with data visualization tools (e.g., Power BI) and cloud/data platforms (e.g., Azure, Snowflake).
• Interest in or exposure to supply chain, logistics, or operations analytics.
• Ability to think beyond the tool—focusing on usability, impact, and the end user experience.
• Strong curiosity and desire to continuously develop both technical and business acumen.
Company:
For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, USA, with a team of 10001+ employees. The company is currently Late Stage.

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