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Manufacturing Data Analytics Jobs in Illinois (NOW HIRING)

Senior Commercial Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... Analytics / BI) Location: Remote A growing food manufacturing company is seeking a Senior Commercial Data Analyst to help transform how the business uses data to drive growth, improve decision-making ...

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

The data analytics team/program primarily supports, identifies and implements data analytics ... Headquartered in Downers Grove, IL, with manufacturing facilities worldwide, the Company operates ...

The data analytics team/program primarily supports, identifies and implements data analytics ... Headquartered in Downers Grove, IL, with manufacturing facilities worldwide, the Company operates ...

The FP&A Manager will lead forecasting, planning, financial modeling, and operational analysis efforts while translating complex financial and manufacturing data into actionable business insights.

This role bridges manufacturing operations, automation, and enterprise data systems to help drive ... You will work with plant-floor systems, PLCs, IoT/sensor data, ERP platforms, and analytics tools ...

Showing results 21-40

Manufacturing Data Analytics information

What is manufacturing data analytics?

Manufacturing data analytics refers to the use of data analysis tools and techniques to collect, interpret, and leverage data generated during manufacturing processes. This approach helps companies identify inefficiencies, predict equipment failures, optimize production, and improve product quality. By analyzing data from sensors, machines, and other sources, manufacturers can make informed decisions that boost productivity and reduce costs. Overall, manufacturing data analytics is key for driving digital transformation and competitiveness in the manufacturing industry.

How do manufacturing data analytics professionals collaborate with production and engineering teams to drive process improvements?

Manufacturing Data Analytics professionals work closely with production and engineering teams by analyzing process data, identifying inefficiencies, and presenting actionable insights. They often participate in cross-functional meetings, where they translate complex data findings into practical recommendations for process optimization, quality improvement, or cost reduction. Effective communication and a collaborative approach are essential, as these professionals must understand operational challenges and ensure data-driven solutions are feasible and aligned with business goals.

What are the key skills and qualifications needed to thrive in manufacturing data analytics, and why are they important?

To thrive in Manufacturing Data Analytics, you need a strong background in statistics, data analysis, and manufacturing processes, often supported by a degree in engineering, data science, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and ERP/MES systems is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are essential soft skills. These competencies enable professionals to drive process improvements, optimize production, and support data-driven decision-making in manufacturing environments.

What is the difference between Manufacturing Data Analytics vs Manufacturing Data Engineer?

AspectManufacturing Data AnalyticsManufacturing Data Engineer
Primary FocusAnalyzing manufacturing data to improve processes and decision-makingDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsData analysis, statistical skills, knowledge of manufacturing processes, often with certifications in data analytics or related fieldsData engineering, programming (Python, SQL), cloud platforms, database management
Work EnvironmentCollaborates with manufacturing teams, data teams, and managementWorks with IT, data teams, and software engineers to develop data systems
Industry UsageUsed across manufacturing sectors for process optimizationSupports manufacturing analytics by providing data infrastructure

Manufacturing Data Analytics focuses on interpreting manufacturing data to enhance operations, while Manufacturing Data Engineers develop and maintain the data systems that enable such analysis. Both roles are essential in manufacturing data-driven strategies but differ in their core responsibilities and skill sets.

What are popular job titles related to Manufacturing Data Analytics jobs in Illinois? For Manufacturing Data Analytics jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analytics jobs in Illinois look for? The top searched job categories for Manufacturing Data Analytics jobs in Illinois are:
What cities in Illinois are hiring for Manufacturing Data Analytics jobs? Cities in Illinois with the most Manufacturing Data Analytics job openings:
Infographic showing various Manufacturing Data Analytics job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 4% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Commercial Data Analyst

CSG

Chicago, IL • On-site

$88K - $111K/yr

Full-time

Posted 19 days ago


Job description

Senior Commercial Data Analyst (Sales Analytics / BI) Location: Remote A growing food manufacturing company is seeking a Senior Commercial Data Analyst to help transform how the business uses data to drive growth, improve decision-making, and identify new commercial opportunities. This role is ideal for an analytical professional who enjoys building solutions, improving processes, and turning complex datasets into actionable insights. You will take ownership of sales, marketing, and customer analytics initiatives while helping establish scalable reporting and analytics capabilities. Working closely with Sales, Marketing, Finance, Supply Chain, and IT teams, you will develop reporting frameworks, improve data visibility, support forecasting, and provide insights that influence strategic decisions. Key Responsibilities Business Intelligence & Reporting Build and maintain dashboards, scorecards, and KPI reporting using tools such as Power BI or Tableau Automate reporting processes and improve visibility into commercial performance Develop clear visualizations that highlight trends, opportunities, and business drivers Commercial Analytics Analyze sales, customer, and market data to identify growth opportunities Perform deep-dive analysis into customer behavior, performance trends, and market opportunities Support forecasting, planning, segmentation, and strategic initiatives Translate analytical findings into clear recommendations for business leaders Data & Analytics Development Integrate data from multiple sources including CRM, ERP, sales, and external datasets Improve data quality, reporting processes, and analytical capabilities Develop forecasting models and apply statistical techniques to support decision-making Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Analytics, or related field 5+ years of experience in data analytics, business intelligence, sales analytics, commercial analytics, or similar roles Advanced SQL skills with experience working with large datasets Strong proficiency in Excel and experience with analytical modelling Experience building dashboards using Power BI, Tableau, Looker, or similar tools Experience working with CRM, ERP, sales, marketing, or customer data Experience with Python, R, forecasting, or predictive analytics preferred Strong communication skills with the ability to present insights to non-technical stakeholders Preferred Experience Sales Analytics / Sales Operations / Revenue Analytics background Consumer Packaged Goods (CPG), Food & Beverage, Retail, or Manufacturing experience Experience with Salesforce, SAP, customer segmentation, territory planning, or market analysis Experience working in an environment where analytics processes and systems are still being developed Why Join? This is an opportunity to play a key role in building the analytics foundation of a growing food manufacturing business. You will have the autonomy to create solutions, influence strategy, and shape how data is used to drive commercial success. Keywords: Senior Data Analyst | Commercial Data Analyst | Business Intelligence Analyst | BI Analyst | Sales Analytics | Sales Operations | Revenue Analytics | Commercial Insights | Power BI | Tableau | SQL | Python | Salesforce Analytics | SAP | Forecasting | Predictive Analytics | CPG | Food Manufacturing | Retail Analytics