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Weekend Manufacturing Data Analyst Jobs in Raleigh, NC

Vulcan Elements

Manufacturing Data & MES Engineer

Benson, NC · On-site

$59K - $76K/yr

As the Manufacturing Data & MES Engineer you will own the manufacturing execution and plant-data ... Deliver reporting and self-serve analytics access for process engineering from pilot and production ...

WCPSS

Data Analyst

Cary, NC · Hybrid

... weekends) Position is available for a hybrid telework workweek POSITION PURPOSE: Ensures the ... Ability to analyze and organize data within large, complex databases; * Ability to work ...

WCPSS

Data Analyst

Cary, NC · Hybrid

... weekends) Position is available for a hybrid telework workweek POSITION PURPOSE: Ensures the ... Ability to analyze and organize data within large, complex databases; Ability to work independently ...

SuCitta Stealth

Database Analyst

Cary, NC · On-site

ACE Database Analyst About Us Atticus is a demand-driven manufacturer of Battle-Tested Chemistries ... This role blends hands-on data management with a test-and-learn mindset; you'll identify and ...

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All JobsManufacturing Data Analyst JobsWeekend Manufacturing Data Analyst JobsWeekend Manufacturing Data Analyst Jobs in Raleigh, NC

Weekend Manufacturing Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do weekend manufacturing data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekend manufacturing data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

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?

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 Raleigh, NC? The most popular types of Manufacturing Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Weekend Manufacturing Data Analyst jobs in Raleigh, NC? For Weekend Manufacturing Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Manufacturing Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Weekend Manufacturing Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Weekend Manufacturing Data Analyst jobs? Cities near Raleigh, NC with the most Weekend Manufacturing Data Analyst job openings:
Weekend Manufacturing Data Analyst jobs near you
Infographic showing various Weekend Manufacturing Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Manufacturing Data Product Analyst

Deep Digital Solutions Group

Raleigh, NC • On-site

Full-time

Re-posted 20 hours ago

Job description

At Deep DSG, we help global manufacturers unlock the full value of their operational data through modern industrial architecture, connected systems, and advanced analytics.
As we continue to expand our Data Enablement capabilities, we are seeking a Manufacturing Data Product Analyst to support the development and delivery of industrial data solutions that drive smarter, more connected manufacturing operations.
This role will focus on the design, configuration, and implementation of industrial data products, data pipelines, and integration solutions. Working closely with Data Enablement Leads, OT engineers, IT teams, and manufacturing stakeholders, you will help transform operational requirements into scalable data solutions that improve visibility, decision-making, and enterprise connectivity.
This is an excellent opportunity for someone with a strong technical foundation in manufacturing systems, industrial data platforms, and system integration who is looking to further develop their expertise in modern industrial data architectures, including Unified Namespace (UNS), DataOps, MQTT, and enterprise data platforms.
Requirements
  • Support the design, development, and deployment of Unified Namespace (UNS), Industrial DataOps, and industrial data solutions.
  • Assist in translating manufacturing and business requirements into scalable data models and integration architectures.
  • Develop, configure, and maintain industrial data products that support manufacturing, quality, maintenance, and business intelligence initiatives.
  • Design and support data pipelines that connect plant-floor systems with enterprise applications and analytics platforms.
  • Implement data transformation, contextualization, validation, and governance processes.
  • Configure and support industrial data brokers, messaging infrastructure, historians, and integration platforms.
  • Collaborate with Data Enablement Leads, manufacturing teams, OT engineers, IT personnel, and implementation partners on project delivery.
  • Contribute to the development and adoption of technical standards, best practices, and data governance frameworks.
  • Support testing, deployment, troubleshooting, and continuous improvement activities across Data Enablement initiatives.
  • Stay informed on emerging technologies and industry best practices within industrial data management and smart manufacturing.

  • Experience working with manufacturing systems, industrial automation, or industrial data solutions.
  • Knowledge of industrial data architectures, data modelling, and system integration principles.
  • Familiarity with Unified Namespace (UNS), Industrial DataOps, MQTT, or similar industrial data frameworks.
  • Experience developing or supporting data pipelines, data integration, or industrial software solutions.
  • Exposure to platforms such as HighByte Intelligence Hub, HiveMQ, AVEVA PI System (OSIsoft PI), or comparable technologies.
  • Understanding of manufacturing operations and OT/IT environments.
  • Familiarity with industrial middleware, historians, and enterprise integration platforms.
  • Strong analytical and problem-solving skills with the ability to work through technical challenges independently and as part of a team.
  • Excellent communication and collaboration skills.
  • Degree in Engineering, Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.

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