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Manufacturing Data Analytics Jobs in Ontario (NOW HIRING)

StarTech.com

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics ... StarTech.com is a global leader in tech connectivity solutions, manufacturing a wide range of ...

StarTech.com

Data Analyst

Toronto, ON · On-site +1

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics ... StarTech.com is a global leader in tech connectivity solutions, manufacturing a wide range of ...

ASSA ABLOY

Industrial Engineer

Woodbridge, ON

Knowledge of ERP systems and manufacturing data analytics * Experience in metal fabrication, steel products manufacturing, or the hollow metal door industry * Experience with facility layout design ...

VitalBio

Senior Manufacturing Quality Engineer

Oakville, ON · On-site

CA$130K - CA$150K/yr

Analyze manufacturing data using Minitab (required) and JMP (preferred). * Develop control charts, capability analyses, and data-driven recommendations to improve process performance. Test Method ...

fgf brands

... data analysis packages (Tensorflow, Pytorch, etc.) * Has a working knowledge of computer vision techniques applicable to manufacturing, such as image classification (e.g., CNNs, YOLO, VLM). * Tech ...

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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 Ontario?

For Manufacturing Data Analytics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Manufacturing Data Analytics jobs in Ontario look for?

The top searched job categories for Manufacturing Data Analytics jobs in Ontario are:

Manufacturing Data Analytics jobs near you
Infographic showing various Manufacturing Data Analytics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Financial Data and Cost Analyst

Titan Trailers

Tillsonburg, ON

Full-time

Medical, Dental

Re-posted yesterday

Job description

This is an excellent opportunity to join the finance team and leverage strong analytical and data-driven capabilities to support financial and operational decision-making in a manufacturing environment. Reporting to the Director of Finance, you will be responsible for transforming financial and operational data into actionable insights, with a focus on cost analysis, inventory valuation, and performance reporting.

The ideal candidate combines a strong foundation in accounting with advanced data analysis skills. You bring experience working with ERP systems, large datasets, and BI tools, and have the ability to interpret manufacturing data (BOMs, routings, work centers) and translate it into meaningful financial insights that drive business performance.

This position works closely with Senior Management, Finance, Production, Supply Chain, and Operations to support data-driven decision-making across the organization.

Key Responsibilities

  • Analyze large datasets related to manufacturing costs, inventory, and production performance to identify trends, anomalies, and opportunities
  • Develop and maintain dashboards and reports (Power BI / Excel) to track KPIs such as gross margin, inventory performance, and cost variances
  • Perform detailed margin analysis by customer, product, and job, identifying key cost drivers
  • Monitor production jobs and proactively flag potential gross profit risks
  • Build and automate recurring financial and operational reports to improve accuracy and efficiency
  • Conduct variance analysis on inventory, cost of goods sold, and manufacturing overhead
  • Reconcile inventory-related general ledger accounts and ensure data integrity across systems
  • Build, update, and maintain the company's annual operating plan and longer-term 5 year forecast.
  • Support month-end and year-end processes through data validation and reporting
  • Analyze impacts of changes in bills of materials, product design, materials, and manufacturing methods on cost structure
  • Partner with operations teams to help interpret financial results and improve cost visibility
  • Support budgeting and forecasting through historical trend analysis and predictive insights
  • Assist in developing and tracking KPIs to measure plant and operational performance
  • Act as a subject matter expert for ERP data, BI reporting, and data governance within finance
  • Identify opportunities for automation, process improvements, and enhanced analytical reporting

Qualifications

  • CPA designation or equivalent experience preferred
  • 5-10 years of experience in accounting, financial analysis, audit, or cost accounting within a manufacturing environment
  • Strong understanding of cost accounting principles, inventory valuation, and manufacturing cost drivers (BOMs, routings, work centers)
  • Advanced Excel skills (Power Query, Pivot Tables, data modeling, VBA, Python)
  • Experience with Power BI, SQL, or other data analytics / visualization tools
  • Experience working with ERP and accounting systems (e.g., Global Shop, Sage, Netsuite or similar)
  • Knowledge of Canadian accounting standards (ASPE/IFRS), with exposure to U.S. (GAAP) and U.K. accounting frameworks considered a strong asset
  • Excellent analytical, problem-solving, and data interpretation skills
  • Strong attention to detail with a high degree of accuracy
  • Ability to communicate complex financial and operational data to non-finance stakeholders

What We Offer

  • Competitive compensation and RRSP matching
  • Comprehensive benefits package (health, dental, EAP)
  • Opportunities to expand skills in data analytics and business intelligence
  • Cross-functional exposure to operations and leadership teams
  • A fast-paced manufacturing environment focused on continuous improvement

Work Schedule

Monday to Thursday: 8:00 am - 5:30 pm
Friday: 8:00 am - 1:00 pm

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