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Weekend Manufacturing Data Analyst Jobs in Oregon

Data Architect

Hillsboro, OR · On-site

$69.50 - $89.25/hr

Data Analysis: driving in-depth business data analysis to understand the origin, flow, level of ... marketing, manufacturing, finance and/or product master data. Preferred qualifications:

Data Architect

Hillsboro, OR

$69.50 - $89.25/hr

Data Analysis: driving in-depth business data analysis to understand the origin, flow, level of ... marketing, manufacturing, finance and/or product master data. Preferred qualifications:

... and manufacturing data into yield improvement actions using knowledge of product design and test features. * Ensures manufacturability over process and product design through thorough analysis of ...

... and manufacturing data into yield improvement actions using knowledge of product design and test features. * Ensures manufacturability over process and product design through thorough analysis of ...

... volume manufacturing. * Data-Driven Improvements: Utilize analytics and process control tools to monitor performance, identify trends, and implement corrective actions. Communicate performance ...

Consolidating, organizing, and presenting critical data to support downstream planning and execution activities. Analyzing manufacturing risks, capacity utilization, inventory levels, scheduling ...

Integrated 3D LLC (i3D MFG) is the premier 3D metal manufacturing company in the Pacific Northwest ... Business Partner Support & Data Analysis: * Respond to ad hoc reporting requests from department ...

Manufacturing Engineer

Redmond, OR · On-site

$77K - $99K/yr

The Manufacturing Engineer is responsible for leading the development, implementation, and ... • Analyze production data and process performance to identify trends, root causes, and ...

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Weekend Manufacturing Data Analyst information

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.

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 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 the most commonly searched types of Manufacturing Data Analyst jobs in Oregon? The most popular types of Manufacturing Data Analyst jobs in Oregon are:
What are popular job titles related to Weekend Manufacturing Data Analyst jobs in Oregon? For Weekend Manufacturing Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Weekend Manufacturing Data Analyst jobs in Oregon look for? The top searched job categories for Weekend Manufacturing Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Weekend Manufacturing Data Analyst jobs? Cities in Oregon with the most Weekend Manufacturing Data Analyst job openings:
Infographic showing various Weekend Manufacturing Data Analyst job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

$119K - $143K/yr

Contractor

Posted 27 days ago


Job description

Job Description
  • 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
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