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Manufacturing Data Analytics Jobs in Oregon (NOW HIRING)

... data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments. * Strong business-facing skills with confidence to engage senior stakeholders and ...

... data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments. * Strong business-facing skills with confidence to engage senior stakeholders and ...

... manufacturing techniques Inventory scheduling systems Developing SQL queries JMP Excel MS Visio Data Analyst Start Date ASAP Data Analyst Assignment Length 7 months "Please note that we are not able ...

We combine product and technology leadership, systems-level expertise and global manufacturing ... Currently enrolled in a Bachelor's or Master's degree program in Data Analytics, Data Science ...

We combine product and technology leadership, systems-level expertise and global manufacturing ... Currently enrolled in a Bachelor's or Master's degree program in Data Analytics, Data Science ...

Data Engineer I

Tualatin, OR · On-site

$100K/yr

... manufacturing, and operational data available for analysis. The Data Engineer I follows established architecture, development, testing, security, and data-governance practices and takes ...

Data Engineer I

Tualatin, OR · On-site

$100K/yr

... manufacturing, and operational data available for analysis. The Data Engineer I follows established architecture, development, testing, security, and data-governance practices and takes ...

Analysis of data to find patterns * Development of applications for data gathering and analysis ... Lean manufacturing techniques * Inventory scheduling systems * Developing SQL queries Software ...

Data Analyst

OR · On-site +1

$70K - $82K/yr

... manufacturers. We empower our customers to deliver the right medicine to the right patient at the ... We're looking for a Data Analyst to support the implementation of Bluesight SaaS products for our ...

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 Oregon?

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

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

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

What cities in Oregon are hiring for Manufacturing Data Analytics jobs?

Cities in Oregon with the most Manufacturing Data Analytics job openings:

Sr Data Analyst

Beaverton, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees

$90K - $114K/yr

Contractor

Re-posted 28 days ago


Job description


Job Duties:
• Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Experience developing with scripting languages such as Shell and Python
• Strong experience developing with PySpark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions
Additional preferences are:
• Experience developing solutions in Snowflake
• Experience with workload automation tools such as Airflow, Autosys.
• Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos)
• Knowledge of Supply Chain Operations / Manufacturing business processes and objectives
Skill Set
Python, SQL, Data